Apr 26, 18: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Accuracy check  Source

[ LOCAL EVENTS & SESSIONS]

More WEB events? Click Here

[ AnalyticsWeek BYTES]

>> Data Science and Big Data: Two very Different Beasts by analyticsweekpick

>> Automating Data Modeling for the Internet of Things: Accelerating Transformation and Data Preparation by jelaniharper

>> Digital textbook analytics can predict student outcomes, study finds by analyticsweekpick

Wanna write? Click Here

[ NEWS BYTES]

>>
 Telefónica Expands Its Global Telco Cloud – Light Reading Under  Cloud

>>
 Johnson Controls Acquires Smartvue to Add IoT Video Services Platform – Security Sales & Integration Under  IOT

>>
 Margaret Mary Health earns nationwide honor – Country 103.9 WRBI Under  Health Analytics

More NEWS ? Click Here

[ FEATURED COURSE]

CS109 Data Science

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Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data managem… more

[ FEATURED READ]

The Future of the Professions: How Technology Will Transform the Work of Human Experts

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This book predicts the decline of today’s professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want … more

[ TIPS & TRICKS OF THE WEEK]

Keeping Biases Checked during the last mile of decision making
Today a data driven leader, a data scientist or a data driven expert is always put to test by helping his team solve a problem using his skills and expertise. Believe it or not but a part of that decision tree is derived from the intuition that adds a bias in our judgement that makes the suggestions tainted. Most skilled professionals do understand and handle the biases well, but in few cases, we give into tiny traps and could find ourselves trapped in those biases which impairs the judgement. So, it is important that we keep the intuition bias in check when working on a data problem.

[ DATA SCIENCE Q&A]

Q:How would you come up with a solution to identify plagiarism?
A: * Vector space model approach
* Represent documents (the suspect and original ones) as vectors of terms
* Terms: n-grams; n=1 to as much we can (detect passage plagiarism)
* Measure the similarity between both documents
* Similarity measure: cosine distance, Jaro-Winkler, Jaccard
* Declare plagiarism at a certain threshold

Source

[ VIDEO OF THE WEEK]

@SidProbstein / @AIFoundry on Leading #DataDriven Technology Transformation #FutureOfData #Podcast

 @SidProbstein / @AIFoundry on Leading #DataDriven Technology Transformation #FutureOfData #Podcast

Subscribe to  Youtube

[ QUOTE OF THE WEEK]

Information is the oil of the 21st century, and analytics is the combustion engine. – Peter Sondergaard

[ PODCAST OF THE WEEK]

@CRGutowski from @GE_Digital on Using #Analytics to #Transform Sales #FutureOfData #Podcast

 @CRGutowski from @GE_Digital on Using #Analytics to #Transform Sales #FutureOfData #Podcast

Subscribe 

iTunes  GooglePlay

[ FACT OF THE WEEK]

Every second we create new data. For example, we perform 40,000 search queries every second (on Google alone), which makes it 3.5 searches per day and 1.2 trillion searches per year.In Aug 2015, over 1 billion people used Facebook FB +0.54% in a single day.

Sourced from: Analytics.CLUB #WEB Newsletter

6 Best Practices for Maximizing Big Data Value

businessman puts a sign
businessman puts a sign

A  survey  released last month, indicated that Hadoop adoption is facing challenges. Specifically, the vast majority of respondents had no current plans to invest in Hadoop due to “…sizable challenges around business value and skills”. Since Hadoop is the leading tool for Big Data, this points to a bigger problem in overall Big Data adoption.  Finding resources with the right analytic skills is a difficult challenge that is being targeted by a new generation of business friendly Big Data tools.  Getting business value is a more fundamental issue.  For many organizations that I’ve talked to, the plan for getting business value from Big Data is simple: get a deeper understanding of how customers behave, and then leverage that knowledge to improve customer satisfaction and increase business profitability.  That can be easier said than done, but reviewing some of the emerging best practices seems like a good place to start.

Maximizing Big Data’s value comes down to doing six things well:

  1. Start with a business problem in mind: Wandering through huge amounts of data with Hadoop and other advanced analytic tools can be lots of fun for data scientists, but it can also be a huge waste of time and resources if the results do not translate into something that can be applied to solve real world business problems. Working with business experts to understand their challenges and opportunities for improvement is a key ingredient for successful projects.  Focusing on a specific business problem makes it easier to identify useful data sources and choose appropriate tools and techniques.  It also sets you up for the next step…
  2. Look ahead to how you will put your insights into practice: To achieve real business value you have to be able to operationalize the results of your analysis. Although this sounds obvious, far too many projects are left gathering dust on the shelf because it is too hard to incorporate their findings into the business activities that would benefit from them.  Data that looks wonderful in the lab may not be available, or may be too expensive to get at the time you need it for use in day-to-day business operations.  Industry regulations can also have a huge influence over where and how your data can be used.
  3. Take advantage of the latest analytic innovations: Innovations in Business Intelligence and Business Analytics are transforming how businesses get value from their customer data.  This is causing a shift from traditional approaches that provide periodic snapshots in the form of descriptive reports and historical dashboards, to systems that continuously analyze incoming data to provide prescriptive insights that are actionable in real-time. Big data tools and infrastructure are making it faster and easier to apply machine learning techniques to explore huge datasets that include a wide variety of structured and unstructured data.
  4. Embrace analytic diversity: R, Python, Hive, Groovy, Scala, MATLAB, SQL, SAS; which one is your favorite?  One of the side effects of the exploding world of analytic innovation is that taking advantage of the latest techniques often requires learning a new set of tools.  Waiting for your favorite analytic tool vendor to catch up and provide an integrated solution isn’t usually an option.   Leading analytic teams will inevitably need to use multiple tools to support their business needs, so the best approach is to embrace diversity and create a flexible infrastructure that can operationalize models authored by a wide range of tools.  Getting multiple types of analytic models to work together in a robust production environment can be a significant challenge. However, modern decision management systems like the FICO® Decision Management Platform simplify the task by supporting extensible libraries and taking advantage of web services and standards such as the Predictive Modeling Markup Language (PMML) to combine analytic services and business rules into cohesive decisioning applications.
  5. Leverage the Cloud and productivity platforms: Creating big data analytics no longer requires making a huge investment in expensive infrastructure and specialized skills.  By running your analytic projects in the cloud you can let a dedicated third party handle the underlying systems and services while you focus on the business problem at hand. You can rent out just the capacity and services you need, at a fraction of the cost of implementing your own.
  6. Give Control to the Business Experts: The final ingredient for getting value from your big data analytics is also the most important one.  The greatest value comes from giving business experts new insights that they can quickly turn into differentiating strategies and actions that will delight customers and shareholders alike.  Interactive and highly visual dashboards and reports can provide information that helps business experts to refine and evolve high-performance strategies.  Standard decision management components such as business rules authoring services can make it faster and easier for experts to incorporate new models and insights into their business rules and policies.  Simulation and data visualizations can also speed the approval time for implementing new models and strategies by making it easier to understand and explore their potential impact.

Note: This article originally appeared in FICO. Click for link here.

Source: 6 Best Practices for Maximizing Big Data Value

Apr 19, 18: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Accuracy  Source

[ LOCAL EVENTS & SESSIONS]

More WEB events? Click Here

[ AnalyticsWeek BYTES]

>> Gleanster – Actionable Insights at a Glance by bobehayes

>> 7 Things to Look before Picking Your Data Discovery Vendor by v1shal

>> Three Upcoming Talks on Big Data and Customer Experience Management by bobehayes

Wanna write? Click Here

[ NEWS BYTES]

>>
 Tyler PD crime statistics show decrease in homicides, increase in violent crimes – KLTV Under  Statistics

>>
 100 Top Hospitals announced by IBM Watson Health – Healthcare Finance News Under  Health Analytics

>>
 Morristown Police Department statistics March 30-April 5 | Police … – Stowe Today Under  Statistics

More NEWS ? Click Here

[ FEATURED COURSE]

Baseball Data Wrangling with Vagrant, R, and Retrosheet

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Analytics with the Chadwick tools, dplyr, and ggplot…. more

[ FEATURED READ]

Storytelling with Data: A Data Visualization Guide for Business Professionals

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Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You’ll discover the power of storytelling and the way to make data a pivotal point in your story. Th… more

[ TIPS & TRICKS OF THE WEEK]

Finding a success in your data science ? Find a mentor
Yes, most of us dont feel a need but most of us really could use one. As most of data science professionals work in their own isolations, getting an unbiased perspective is not easy. Many times, it is also not easy to understand how the data science progression is going to be. Getting a network of mentors address these issues easily, it gives data professionals an outside perspective and unbiased ally. It’s extremely important for successful data science professionals to build a mentor network and use it through their success.

[ DATA SCIENCE Q&A]

Q:How to optimize algorithms? (parallel processing and/or faster algorithms). Provide examples for both?
A: Premature optimization is the root of all evil – Donald Knuth

Parallel processing: for instance in R with a single machine.
– doParallel and foreach package
– doParallel: parallel backend, will select n-cores of the machine
– for each: assign tasks for each core
– using Hadoop on a single node
– using Hadoop on multi-node

Faster algorithm:
– In computer science: Pareto principle; 90% of the execution time is spent executing 10% of the code
– Data structure: affect performance
– Caching: avoid unnecessary work
– Improve source code level
For instance: on early C compilers, WHILE(something) was slower than FOR(;;), because WHILE evaluated “something” and then had a conditional jump which tested if it was true while FOR had unconditional jump.

Source

[ VIDEO OF THE WEEK]

#BigData @AnalyticsWeek #FutureOfData #Podcast with Eloy Sasot, News Corp

 #BigData @AnalyticsWeek #FutureOfData #Podcast with Eloy Sasot, News Corp

Subscribe to  Youtube

[ QUOTE OF THE WEEK]

He uses statistics as a drunken man uses lamp posts—for support rather than for illumination. – Andrew Lang

[ PODCAST OF THE WEEK]

Using Analytics to build A #BigData #Workforce

 Using Analytics to build A #BigData #Workforce

Subscribe 

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[ FACT OF THE WEEK]

Poor data can cost businesses 20%–35% of their operating revenue.

Sourced from: Analytics.CLUB #WEB Newsletter

What it takes to be a Santa: a data’s perspective

 

I should be not a surprise to image how massive would the Santa’s operations be. Santa and his army of Elf’s must be working like a horse. Some numbers to understand what it takes to be a Santa: There are approximately two billion children (persons under 18) in the world. However, since Santa does not visit children of Muslim, Hindu, Jewish, or Buddhist (except maybe in Japan) religions, this reduces the workload for Christmas night to 15% of the total, or 378 million (according to the population reference bureau). At an average (census) rate of 3.5 children per household, that comes to 108 million homes, presuming there is at least one good child in each.

Santa has about 31 hours of Christmas to work with, thanks to the different time zones and the rotation of the earth, assuming east to west (which seems logical). This works out to 967.7 visits per second. This is to say that for each Christian household with a good child, Santa has around 1/1000th of a second to park the sleigh, hop out, jump down the chimney, fill the stockings, distribute the remaining presents under the tree, eat whatever snacks have been left for him, get back up the chimney, jump into the sleigh and get onto the next house.

Assuming that each of these 108 million stops is evenly distributed around the earth (which, of course, we know to be false, but will accept for the purposes of our calculations), we are not talking about 0.78 miles per household; a total trip of 75.5 million miles, not counting bathroom stops or breaks.
This means Santa’s sleigh is moving at 650 miles per second – 3,000 times the speed of sound. For purposes of comparison, the fastest man made vehicle, the Ulysses space probe, moves at a pokey 27.4 miles per second, and a conventional reindeer can run (at best) 15 miles per hour. The payload of the sleigh adds another interesting element. Assuming that each child gets nothing more than a medium sized LEGO set (two pounds), the sleigh is carrying over 500 thousand tons, not counting Santa himself. On land, a conventional reindeer can pull no more than 300 pounds. Even granting that flying reindeer can pull 10 times the normal amount, the job can’t be done with eight or even nine of them -Santa would need 360,000 of them. This increases the payload, not counting the weight of the sleigh, another 54,000 tons, or roughly seven times the weight of the Queen Elizabeth (the ship, not the monarch).

A mass of nearly 600,000 tons traveling at 650 miles per second creates enormous air resistance – this would heat up the reindeer in the same fashion as a spacecraft re-entering the earth’s atmosphere. The lead pair of reindeer would absorb 14.3 quintillion joules of energy per second each. In short, they would burst into flames almost instantaneously, exposing the reindeer behind them and creating deafening sonic booms in their wake. The entire reindeer team would be vaporized within 4.26 thousandths of a second, or right about the time Santa reaches the fifth house on his trip. Not that it matters, however, since Santa, as a result of accelerating from a dead stop to 650 m.p.s. in .001 seconds, would be subjected to acceleration forces of 17,000 g’s.

A 250 pound Santa (which seems ludicrously slim considering all the high calorie snacks he must have consumed over the years) would be pinned to the back of the sleigh by 4,315,015 pounds of force, instantly crushing his bones and organs and reducing him to a quivering blob of pink goo. Therefore, if Santa did exist, he must be going through a hell of rigorous regiment to make those gifts upto you. So, enjoy whatever you get, it surely took some bones to make that logistical arrangements work. MERRY CHRISTMAS Yo’ll!!!

Originally Posted at: What it takes to be a Santa: a data’s perspective by v1shal

The One Hidden Skill You Need to Unlock the Value of Your Data

An examination of data scientist skills reveals an often overlooked skill necessary to uncover insights from data: The Scientific Method

Data scientists are a hot commodity in today’s data-abundant world. Business leaders are relying on data scientists to improve how they acquire data, determine its value, analyze it and build algorithms for the ultimate purpose of improving how they do business. While the job title of “data scientist” was coined by D.J. Patil and Thomas H. Davenport only in  2008, it reached the status of “sexiest job of the 21st century“ by 2012. But what makes for a good data scientist?

In this post, I take a look at several industry experts’ opinions about the skills, abilities and temperament needed to be a good data scientist. Specifically, I reviewed 11 articles that included lists of various data scientist skills (each link directs you to a specific list): Dataiku.com, Smart Data Collective, InformationWeek, Data Science Central, Teradata, Silicon Angle, Gigaom, Forrester, Wired, TDWI, and Dataversity. From each article, I extracted statements  (96 in all) that reflected a skill, ability or temperament and grouped them into smaller categories. I let the content of the statements drive the generation of the categories. Some categories had a fairly specific, narrow meaning (e.g., NLP) and others had a broader meaning (e.g., computer science).

Results

While the major, popular buckets of data scientist skills emerged (e.g., quantitative, computer engineering, business acumen, communication), an additional one also emerged that I call Scientific Method. First, let’s look at the details of each skill or category:

1. Quantitative

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Click image to enlarge.

Businesses need quantitative skills if they are to extract insights from their data. Quantitative skills include statistics, mathematics and predictive modeling skills. Statistical skills can help businesses summarize their large data sets into smaller pieces of meaningful information. Predictive modeling skills help businesses create algorithms, both automatically and manually, to improve business processes. As a whole,these quantitative skills allow businesses to apply mathematical rigor to to their large, quickly expanding data sets to help make sense of them.

2. Computer Engineering

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Click image to enlarge.

Another key skill is related to computer engineering. With the advent of new ways to store, analyze and retrieve data, the idea data scientist needs skills in programming languages, distributed computing systems and open-source tools.

Click image to enlarge.
Click image to enlarge.

In addition to analyzing structured data, businesses are now trying to uncover insights from unstructured data from such sources as social media, emails, community message boards and even open-ended comments in surveys. Skills in natural language processing help data scientists transform these unstructured data into structured data to allow for quantitative analysis. Machine learning skills help businesses identify generalized patterns in the data (training data) that allows for classification of future data (target data). This pattern recognition helps drive recommendation engines that present customers with information that is relevant to them. Finally, data management skills help data scientists develop and integrate different data systems so businesses can utilize all their data in an integrated fashion.

3. Business Acumen

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Click to enlarge image.

Quantitative and computer skills don’t occur in a vacuum. Data scientists, to be successful, need a good understanding of the business, including its people, products and services, and how they all work together. This knowledge of how business works helps data scientists direct their energies to data that are the most valuable to the business.

4. Communication

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Click image to enlarge.

Data scientists need to have good communication skills. This skill is closely linked to business acumen, as data scientists need to be able to convey complex quantitative, computational findings into terms that business executives, managers, and front line employees can understand. Data scientists often need to use visualization tools to help translate quantitative findings into images that are easily consumable by the masses. With good communication skills and the use of tools to visualize the data, data scientists are able to provide the insights that business leaders need to operationalize changes to their current business processes.

5. Scientific Method

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Click image to enlarge.

The final group of skills reflect the need to approach problems using critical thinking, creativity and open-mindedness. I grouped these final set of skills under the label of “scientific method.” Formally defined, the scientific method is a body of techniques for objectively investigating phenomena, acquiring new knowledge, or correcting and integrating previous knowledge. The scientific method includes the collection of empirical evidence, subject to specific principles of reasoning. Specifically, the scientific method follows these general steps: 1) formulate a question or problem statement; 2) generate a hypothesis; 3) test hypothesis through experimentation (when we can’t conduct true experiments, data are obtained through observations and measurements); and 4) analyze data to draw conclusions.

Click image to enlarge.
Click image to enlarge.

These steps are not meant to imply that science is only a series of activities. Instead of thinking about science as an area of knowledge, it is better to conceptualize it as a way to understand how the world really works. As Carl Sagan said, “Science is a way of thinking much more than it is a body of knowledge.” The scientific method not only requires the adherence to rules, it also requires creativity, and imagination in order to find new possibilities, address problems in different ways and apply findings from one setting to another. Separating signal from noise, data scientists’ work truly reflects an exercise in uncovering reality.

What makes for a good data scientist?I believe that the scientific method plays a critical role in understanding any data, irrespective of their size or speed or variety. Despite the idea that Big Data will kill the need for theory and the scientific method, the human element is necessarily involved in the generation, collection and interpretation of data. As Kate Crawford points out in a thoughtful article, The Hidden Bias of Big Data, data do not speak for themselves; humans give data their voice; people draw inferences from the data and give data their meaning. Unfortunately, people introduce bias, intentional and unintentional, that weaken the quality of the data.

Additionally, I highlighted a few ways that the scientific method can help improve the veracity (validity) of data. To be of real, long-term value to business, Big Data needs to be about understanding the causal links among the variables. Hypothesis testing helps shed light on identifying the reasons why variables are related to each other and the underlying processes that drive the observed relationships. Hypothesis testing helps improve analytical models through trial and error to identify the causal variables and helps you generalize your findings across different situations.

Summary

Data scientists help businesses extract value from their data by finding insights. To solve business problems, data scientists need a variety of skills, including quantitative, computer, business acumen and communication. The current review, however, uncovered an overlooked skill needed by data scientists: the scientific method.

Even though finding a single person who possesses these data scientist skills is akin to finding a unicorn, companies need to understand all the data scientist requirements as they look to build data science teams to address their data analytic needs. Data scientists will require knowledge in research methodology to learn about different kinds of research methods they can employ (e.g., observational, experimental, quasi-experimental) as well as the threats to different kinds of validity (e.g., statistical conclusion, internal, construct and external).

The goal of the scientific method is to solve problems. If businesses want to solve their problems, they need to put the science in data science. If they don’t, all they have are data.

Source

Apr 12, 18: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Extrapolating  Source

[ LOCAL EVENTS & SESSIONS]

More WEB events? Click Here

[ AnalyticsWeek BYTES]

>> Venu (@VenuV62 | @ProcterGamble) on creating a rockstar data science team #FutureOfData by admin

>> Tackling 4th Industrial Revolution with HR4.0 – Playcast – Data Analytics Leadership Playbook Podcast by v1shal

>> Google loses data as lightning strikes by analyticsweekpick

Wanna write? Click Here

[ NEWS BYTES]

>>
 Lakefront Hammond data center to include tech incubator, Purdue greenhouse – nwitimes.com Under  Data Center

>>
 GE tries to shed complexity with sale of HIT lines – Health Data Management Under  Health Analytics

>>
 As Worlds Collide: Join Xconomy for Big Data Meets Big Biology – Xconomy Under  Big Data

More NEWS ? Click Here

[ FEATURED COURSE]

Artificial Intelligence

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This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances…. more

[ FEATURED READ]

Storytelling with Data: A Data Visualization Guide for Business Professionals

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Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You’ll discover the power of storytelling and the way to make data a pivotal point in your story. Th… more

[ TIPS & TRICKS OF THE WEEK]

Analytics Strategy that is Startup Compliant
With right tools, capturing data is easy but not being able to handle data could lead to chaos. One of the most reliable startup strategy for adopting data analytics is TUM or The Ultimate Metric. This is the metric that matters the most to your startup. Some advantages of TUM: It answers the most important business question, it cleans up your goals, it inspires innovation and helps you understand the entire quantified business.

[ DATA SCIENCE Q&A]

Q:What is the life cycle of a data science project ?
A: 1. Data acquisition
Acquiring data from both internal and external sources, including social media or web scraping. In a steady state, data extraction and routines should be in place, and new sources, once identified would be acquired following the established processes

2. Data preparation
Also called data wrangling: cleaning the data and shaping it into a suitable form for later analyses. Involves exploratory data analysis and feature extraction.

3. Hypothesis & modelling
Like in data mining but not with samples, with all the data instead. Applying machine learning techniques to all the data. A key sub-step: model selection. This involves preparing a training set for model candidates, and validation and test sets for comparing model performances, selecting the best performing model, gauging model accuracy and preventing overfitting

4. Evaluation & interpretation

Steps 2 to 4 are repeated a number of times as needed; as the understanding of data and business becomes clearer and results from initial models and hypotheses are evaluated, further tweaks are performed. These may sometimes include step5 and be performed in a pre-production.

5. Deployment

6. Operations
Regular maintenance and operations. Includes performance tests to measure model performance, and can alert when performance goes beyond a certain acceptable threshold

7. Optimization
Can be triggered by failing performance, or due to the need to add new data sources and retraining the model or even to deploy new versions of an improved model

Note: with increasing maturity and well-defined project goals, pre-defined performance can help evaluate feasibility of the data science project early enough in the data-science life cycle. This early comparison helps the team refine hypothesis, discard the project if non-viable, change approaches.

Steps 2 to 4 are repeated a number of times as needed; as the understanding of data and business becomes clearer and results from initial models and hypotheses are evaluated, further tweaks are performed. These may sometimes include step5 and be performed in a pre-production.

Deployment

Operations
Regular maintenance and operations. Includes performance tests to measure model performance, and can alert when performance goes beyond a certain acceptable threshold

Optimization
Can be triggered by failing performance, or due to the need to add new data sources and retraining the model or even to deploy new versions of an improved model

Note: with increasing maturity and well-defined project goals, pre-defined performance can help evaluate feasibility of the data science project early enough in the data-science life cycle. This early comparison helps the team refine hypothesis, discard the project if non-viable, change approaches.

Steps 2 to 4 are repeated a number of times as needed; as the understanding of data and business becomes clearer and results from initial models and hypotheses are evaluated, further tweaks are performed. These may sometimes include step5 and be performed in a pre-production.

Deployment

Operations
Regular maintenance and operations. Includes performance tests to measure model performance, and can alert when performance goes beyond a certain acceptable threshold

Optimization
Can be triggered by failing performance, or due to the need to add new data sources and retraining the model or even to deploy new versions of an improved model

Note: with increasing maturity and well-defined project goals, pre-defined performance can help evaluate feasibility of the data science project early enough in the data-science life cycle. This early comparison helps the team refine hypothesis, discard the project if non-viable, change approaches.

Steps 2 to 4 are repeated a number of times as needed; as the understanding of data and business becomes clearer and results from initial models and hypotheses are evaluated, further tweaks are performed. These may sometimes include step5 and be performed in a pre-production.

Deployment

Operations
Regular maintenance and operations. Includes performance tests to measure model performance, and can alert when performance goes beyond a certain acceptable threshold

Optimization
Can be triggered by failing performance, or due to the need to add new data sources and retraining the model or even to deploy new versions of an improved model

Note: with increasing maturity and well-defined project goals, pre-defined performance can help evaluate feasibility of the data science project early enough in the data-science life cycle. This early comparison helps the team refine hypothesis, discard the project if non-viable, change approaches.

Source

[ VIDEO OF THE WEEK]

#BigData @AnalyticsWeek #FutureOfData #Podcast with @ScottZoldi, @FICO

 #BigData @AnalyticsWeek #FutureOfData #Podcast with @ScottZoldi, @FICO

Subscribe to  Youtube

[ QUOTE OF THE WEEK]

Without big data, you are blind and deaf and in the middle of a freeway. – Geoffrey Moore

[ PODCAST OF THE WEEK]

#BigData @AnalyticsWeek #FutureOfData with Jon Gibs(@jonathangibs) @L2_Digital

 #BigData @AnalyticsWeek #FutureOfData with Jon Gibs(@jonathangibs) @L2_Digital

Subscribe 

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[ FACT OF THE WEEK]

And one of my favourite facts: At the moment less than 0.5% of all data is ever analysed and used, just imagine the potential here.

Sourced from: Analytics.CLUB #WEB Newsletter

Bringing Data Analytics Communities Together

 

analyticsstreet_6_7registernow
With outburst of Big Data, Machine Learning, Deep Learning, Cloud platforms and startups, market is ripe for a storm on tools to address data analytics problems and provide immense power and capabilities to address various analytical issues.

While on one side it has produced a lot of options for businesses and professionals to pursue, on the other hand it has made market convoluted, complex and cluttered for businesses to indulge. This is the right time for data analytics ecosystem to drink its own coolaid and decrypt the ecosystem and make it functional for its members.

@AnalyticsWeek is on a mission to help businesses and professionals use it’s platform to create a clear bridge between demand and supply in data analytics. Within less than an year, @AnalyticsWeek has gained the support of 45 businesses, 2500 supporters, 10 industries (primarily 3 clusters): Consulting Services, Analytics Capabilities Providers, and Consumers of Analytics. @AnalyticsWeek partners include Big Enterprises, Mid-size companies and startups.

This is the right time for @AnalyticsWeek to pave ways to help data analytics driven businesses and professionals by providing them a targeted and adaptive environment, which listens to their problems and connects them to opportunities.

While on a mission, @AnalyticsWeek is determined to make a huge network of data analytics businesses and professionals and help them:

1. Recruit better tool, talent, technique and technology
2. Create effective partnerships faster for optimal impact
3. Build deeper community engagement for collaborative growth

Through it’s online and offline channels, @AnalyticsWeek is providing safe haven for data analytics professionals to mingle and grow collaboratively.
registernow

Source: Bringing Data Analytics Communities Together

Apr 05, 18: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[  COVER OF THE WEEK ]

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Insights  Source

[ AnalyticsWeek BYTES]

>> Who could be a Startup CEO? Ben Horowitz’s 2 cents  by v1shal

>> Where Big Data Projects Fail by analyticsweekpick

>> August 7, 2017 Health and Biotech analytics news roundup by pstein

Wanna write? Click Here

[ NEWS BYTES]

>>
 Big firms take an FB break – Khaleej Times Under  Data Security

>>
 4 modern challenges for the Internet of Things – Information Age Under  Internet Of Things

>>
 A Data Scientist Was Sick of Seeing Spam on His Facebook so He Built a Fake News Detector – Motherboard Under  Data Scientist

More NEWS ? Click Here

[ FEATURED COURSE]

Machine Learning

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6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending … more

[ FEATURED READ]

Superintelligence: Paths, Dangers, Strategies

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The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but … more

[ TIPS & TRICKS OF THE WEEK]

Strong business case could save your project
Like anything in corporate culture, the project is oftentimes about the business, not the technology. With data analysis, the same type of thinking goes. It’s not always about the technicality but about the business implications. Data science project success criteria should include project management success criteria as well. This will ensure smooth adoption, easy buy-ins, room for wins and co-operating stakeholders. So, a good data scientist should also possess some qualities of a good project manager.

[ DATA SCIENCE Q&A]

Q:How to efficiently scrape web data, or collect tons of tweets?
A: * Python example
* Requesting and fetching the webpage into the code: httplib2 module
* Parsing the content and getting the necessary info: BeautifulSoup from bs4 package
* Twitter API: the Python wrapper for performing API requests. It handles all the OAuth and API queries in a single Python interface
* MongoDB as the database
* PyMongo: the Python wrapper for interacting with the MongoDB database
* Cronjobs: a time based scheduler in order to run scripts at specific intervals; allows to bypass the “rate limit exceed” error

Source

[ VIDEO OF THE WEEK]

@AnalyticsWeek #FutureOfData with Robin Thottungal(@rathottungal), Chief Data Scientist at @EPA

 @AnalyticsWeek #FutureOfData with Robin Thottungal(@rathottungal), Chief Data Scientist at @EPA

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[ QUOTE OF THE WEEK]

The temptation to form premature theories upon insufficient data is the bane of our profession. – Sherlock Holmes

[ PODCAST OF THE WEEK]

Unconference Panel Discussion: #Workforce #Analytics Leadership Panel

 Unconference Panel Discussion: #Workforce #Analytics Leadership Panel

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iTunes  GooglePlay

[ FACT OF THE WEEK]

More than 200bn HD movies – which would take a person 47m years to watch.

Sourced from: Analytics.CLUB #WEB Newsletter

The Big List: 80 Of The Hottest SEO, Social Media & Digital Analytics Tools For Marketers

seo-social-media-marketing-analytics-tools

In online marketing, having the right analytics tools and software can make a major difference. A good program can save you time and help demonstrate the value of your work to supervisors or clients.

Over the last couple of months, while preparing the syllabus for my next UC San Diego class and doing research for clients, I compiled and reviewed an extensive list of analytics programs for SEO and social media. I’m sharing what resulted in this column.

(Editor’s note: be sure to check out the 2015 Martech landscape for the latest developments in software for marketing.)

A few notes:

  • This is not a comprehensive list, but it is one of the biggest lists online and represents a solid chunk of what’s available out there. The entries aren’t in any particular order.
  • Many of the analytics programs also have some type of tool component — so you can take action on what you learn through analytics — and I included those, as well. There seems to be a natural progression in which tools add analytics elements and analytics programs add tools.
  • I did my best to include everything relevant to SEO and Social Media. If I missed a good one, make sure to let us all know in the comments.
  • I was unable to include every feature each of these analytic tools offered. The descriptions are brief and mostly come from the information offered at face value on the website, so if you’re a user and want to share info about an important feature (or about something that doesn’t work as described) please do so in a comment.
  • I don’t have any financial relationships with any of the companies mentioned here.

SEO Analytics Tools

1. BuzzSumo: BuzzSumo allows you to find key influencers to promote your content by analyzing content types and determining which topics receive the most attention, so you can get the best performance results. Simply enter a topic or domain to find a topic or influencer to reach out to, in hopes of getting them to promote your marketing or SEO campaign.

Pricing: Free, Pro $99, Agency $2299, Enterprise $499+ (per month)

2. HubSpot: HubSpot allows users to integrate marketing tools to build a marketing and sales platform. Offerings include analytics, CRM, blogging, social media, landing page creation, and call-t0-action testing.

Pricing: Basic $200, Pro $800, Enterprise $2,400 (per month).

3. Rio SEO: Local SEO, mobile search, social sharing analytics, retargeting software, and an automated SEO platform. A global automated SEO platform aimed at helping marketers to increase ROI.

Pricing: Determined upon needs. Must contact specialist.

4. Conductor: Conductor for SEO promises to help marketers reach out and grab their customers with compelling content. The web presence management tool helps you create a platform using unpaid channels like organic search, content, and social. The technology also gathers the data aimed at helping marketers transform their brand.

Pricing: Starter $1,995, Standard $3,750 (per month). Pricing for Premium and Elite packages available by request.

5. SEMrush: Discover competitive data from users, keywords, domains, and databases. SEMrush says it will help you drive your projects to the next level as massive amounts of SERP data is collected, allowing you to capitalize on search trends and competition to find relevant and real-world solutions. The comprehensive analysis fine tunes your SEO efforts.

Pricing: Pro Recurring $69.95, Pro 1 month $79.95, Guru Recurring $149.95 (per month).

6. Search Metrics: Search Metrics offers software, API, and SEO services for content, marketing, extensive digital solutions and web optimization. Review customized recommendations for on page and off page SEO using intelligence forecasts to define and achieve your business goals. Create a solid foundation with cross-channel campaigns to develop targeted strategies.

Pricing: User account Free, Essentials $69, Starter $449, Business price upon request (per month).

7. AuthorityLabs: Offers search engine ranking data with daily SEO ranking reports. Automate your marketing campaign, local rank tracking, and competition tracking. Then, share the data with your team by reporting to unlimited users.

Pricing: Plus $49, Pro $99, Enterprise $450 (per month)

8. Raven Tools: Manage and report all of your online marketing with Raven Tools. The company promises you’ll work smarter, not harder, with the SEO, content marketing, social media, and PPC tools you need. Raven says it will do the tedious work while you manage and report. Custom branding, campaign management, Google integrations, and more.

Pricing: Raven Pro $99, Raven Agency $249 (per month).

9. Spy Fu: The company promises you can expose the marketing formula of your competitors using Spy Fu to unlock their keywords, organic ranking, and ad variations for the past 6 years. Find the most profitable keywords and eliminate the poor to create the best ad copy by leveraging your competitors. Additionally includes SEO sales reporting and AdWords advice.

Pricing: Basic $79, Professional $139, Agency $999 (per month).

10. ProSEOTools: The company promises to combine big data analytics with actionable insights to help marketers maximize SEO performance. Discover the ranking of all keywords with instant ranking data, daily keyword and URL tracking, white label PDF reports, and the health of your SEO efforts.

Pricing: Pro Lite $49.95, Pro Medium, $89.95, Pro Large $199.95 (per month), Enterprise Custom pricing available upon request.

11. MOZ: Moz’s internet marketing software aims to simplify ranking, links, social, brand, content, and traffic– all in one place. It promises to help marketers find errors, missed conversions, and SEO opportunities with custom reporting and research tools. You can also create and manage your online business listings with a single click to boost your local search results and prevent your business from getting lost.

Pricing: Standard $99, Medium $149, Large $249, Premium $599 (per month).

12. Advanced Web Ranking: This online SEO software aims to help marketers thrive by providing local and mobile rank tracking, white label reports, competition monitoring, and data privacy. The company promises you will spend less time monitoring and more time optimizing as Advanced Web Ranking grows your business and revenue with pinpoint accuracy reports and monitoring, on demand ranking updates, and more.

Pricing for Lifetime Licenses: Standard $199, Professional $399, Enterprise $799, Server $2999.

13. SEO PowerSuite: The company says its 4 powerful tools will deliver everything you need for SEO functionality in one package. SEO PowerSuite says it can help marketers find the perfect whole website optimization campaign with specific automated SEO tasks to push their websites to the top. It also says you can accelerate your SEO efficiency by personalizing your SEO campaign by analyzing top competitors in a particular niche.

Pricing: Varies upon products and bundles http://www.seopowersuite.com/prices.html.

14. Whitespark: Whitespark’s tools and services allow you to manage and optimize your search presence and reach with a local citation finder, local rank tracker, and a link prospector. The company says it helps you make it easy for customers to find you with a review generator, building local search visibility that lasts.

Pricing: Varies upon product/service.

15. SERPs.com: The company promises to help marketers track and prove their SEO with accurate daily keyword rankings. Test and monitor SEO experiments, understand charts and SEO data, and access daily reports with this SEO software. Access everything you need, including conversions, rankings, and traffic, from one dashboard, the company says.

Pricing: Solo $99, Pro $299, Enterprise $1999 (per month).

16. Positionly: Use this SEO software to monitor daily changes, measure SEO performance, and track competitors to improve your search engine ranking. The company says its tools will help you generate more organic traffic using pro-level tracking tools that feature a simple, usable interface. Plus, it says you can monitor media from around the web to react to mentions and monitor incoming links.

Pricing:$19, Silver $49, Gold $99, (per month). Platinum pricing available upon request.

17. RankRanger: The tool maker promises you can gain a competitive edge with this comprehensive SEO platform that provides daily keyword rank, tracking reports, and website insights to reach traffic and marketing achievements. Report and analyze, conduct market research, monitor social signals, and use a link manager to increase your site’s performance with the team-based platform.

Pricing: 250 Keywords $49, 500 keywords $99, 1500 keywords $249 (per month). 30 day free trials also available.

18. MySEOTool: Manage and monitor rankings, analytics, backlinks, social media, and PPC with simplified SEO tools with a traditional SEO interface. Automatically gather SEO metrics with automated PDF repots to take control over SEO. My SEOTool promises that with in-depth reporting, you can manage all aspects of SEO for better results and performance by staying organized with custom management features.

Pricing: Freelancer $49, Agency $99, Enterprise $249, Unlimited $499 (per month).

19. SheerSEO: SheerSEO is an online software that automates SEO efforts with rank tracking and link building. According to the company, you can create SEO reports for your website with SERP tracking, historical graphics, directory submission software, link analysis, social mentions, and alerts. You’ll receive data from Google Analytics to increase search volume.

Pricing: Varies from $7-$40 depending on needs. 2 months free also available.

20. WebPosition: The company promises competitive keyword optimization, inbound link analysis, and online rank tracking aimed to help marketers build an audience. It says you may use the data to get to know your competition to evaluate for inbound link opportunities, benefit from white label search ranking reports, and view an SEO summary in a single report.

Pricing: Standard $29, Premium $69 (per month). Free 30-day trial also available.

21. SEO Rank Monitor: SEO Rank Monitor, according to its makers, is a complete SEO ranking tool used to boost rankings, track competitors, and monitor SEO performance with comprehensive rank tracking reports. It promises to take the stress out of tracking with a user-friendly dashboard that makes ranking quick and simple.

Pricing: Personal $19, Pro $49, ProPlus $99, Enterprise $199 (per month).

22. Analytics SEO: This search engine optimization software offering promises to help you improve your search engine ranking to gain more website traffic, leads, and customers. It says whether you’re a small business or an agency, you can explore keyword data and create custom SEO campaigns with automated keyword research to discover the keywords that matter the most.

Pricing: Startup $29, Growing $59, Established $169 (per month). Free limited starter package available.

23. GeoRanker: Benefit from local ranking reports for cities and countries with custom heat maps to monitor and track rankings. Find local citation sources with indexation secrets to reveal the top sources in a specific city and industry. GeoRanker claims to have a powerful API that offers the data you’re hungry for and allows you to analyze white label reports to boost traffic.

Pricing: Pro $99, Agencies $249, Enterprises $490 (per month). Free account also available.

24. Microsite Masters: The company promises its offerings will provide you with reliable and accurate SERP tracking with ranking and performance reports. Advanced tracking metrics increase campaign efficiency by reducing guess work, the company says. Then, the tools allow marketers to share results, including multiple keyword sets and domains, while keeping sensitive data private.

Pricing: More information on site http://www.micrositemasters.com/#pricing

25. Sistrix: The company promises an easy to use SEO tool that helps you create a SEO strategy in one place. Evaluate your link risk, learn from competition, and improve your on page optimization, while recognizing Google penalties, Sistrix says.

Pricing: Varies between 100-400 Euros per month. A 14 day free trial is available.

26. BrightEdge: The company says it offers a complete platform for content ROI with the latest SEO technology. It promises to help you align and optimize your content to improve results with increased conversions and revenue.  BrightEdge says it allows you to discover your competitor’s strategy so you can beat your competition.

Pricing: Available upon request.

27. Marketing Samurai: Marketing Samurai aims to help marketers automatically find more customers. Get your customers to buy more with increased traffic and leads through highly efficient SEO courses. You’ll sell more and sell faster as you climb in search engine ranking, turning more leads into actual revenue.

Pricing: Varies by needs.

28. GetSTAT: The company promises to help marketers exceed the ordinary with unlimited keywords from any location in the world. It says you’ll see unlimited SERP tracking from anywhere at any time with always fresh metrics and custom alerts. GetSTAT says it can help you stay ahead of your competitors with automated insights and full-scale competitor tracking results.

Pricing: Available upon request.

29. SEO Diver: The company says you can benefit from daily monitoring and analysis of competitors with keyword research and analytic backlink research. It claims it will help you optimize your website for more targeted and efficient results.

Pricing: Varies upon subscription length and needs.

30. ZoomRank: Supercharge your search marketing with the best tools and data with ZoomRank, the company claims. ZoomRank says it allows marketers to view accurate organic rankings, mobile rankings, local rankings, and raw rank results. It also tracks social metrics.

Pricing: Available upon request.

31. Rank Tracker: Discover how your search engine rankings are tied directly to your bottom line, Rank Tracker promises. You’ll see just where your site ranks on Google and Yahoo within minutes, the company claims. Then, view the best keywords to optimize your site for maximum performance.

Pricing: Range from $15-$499 per month. A free package is also available.

32. SERPFox: The company promises to help marketers leverage a simple, powerful, and automated search engine tracking system with advanced reporting, multiple timeframes, and consistent data. It says you can visualize SERP changes in a new light as you’re able to track daily, weekly, and monthly changes and also receive customized alerts.

Pricing: Starter $10, Intermediate $24, Pro $55, Corporate $99, Agency $200 (per month).

33. Tiny Rocket Lab: Track your onpage SEO efforts with the combined power of the rank trackers and onpage optimizer through Tiny Rocket Lab, the company says. It says you can track keywords, get suggestions, and follow results from one location. Create and assign tasks and experiments to team members with visuals to tell what’s working and what isn’t.

Pricing: Available upon request. Free account is available.

34. Rankinity: Measure your internet visibility with visual representations of your performance, Rankinity promises. It says it allows marketers to check hundreds of keywords on multiple search engines, including local searches, to estimate standings to reveal weaknesses. Compare your positions to your competitors and reveal new players on the market to enhance your promotion strategy.

Pricing: Varies upon number of keywords and checking interval.

35. Web CEO: Web CEO says its SEO tools and training allow marketers to research their niche and promote their website with a comprehensive SEO checklist. Create optimized content and monitor your site ranking across local and global search engines, according to the company. Listen to what people are saying about your company to analyze visitor traffic, conversions, and ROI.

Pricing: Varies upon needs.

36. SERPBook: Utilize accurate tracking with automated and white label SEO reports, SERPBook says it offers. Gather keyword information then view it on sophisticated charts and through powerful notes, so you can  see how your keyword has progressed throughout time, the company claims.

Pricing: Varies between $4.95 per month for 25 keywords/domains, to $329.95 for 500 keywords/domains.

37. CognitiveSEO: The company claims it offers cutting edge SEO tools to benchmark and outrank SEO competition. It promises a fast backlink checker, daily ranking tracker, and refined link analysis for better insight. Unique SEO features and integrated tools simplify management, tracking, and optimization, says CognitiveSEO.

Pricing: Professional $99, Premium $199, Elite $499 (per month). Custom Plans also available starting at $999/month.

38. Ezee Rank Tracker: Get accurate reports of your website’s ranking with unlimited website and keyword searches for regional and leading search engine results, Ezee Rank Tracker promises. Track social signals from 9 platforms and YouTube and receive up-to-date notifications to maintain your site’s performance with quick change reports, according to the company. Track and save your results to monitor performance.

Pricing: Varies upon product

39. SERPWoo: Monitor all of the top 20 results for your keywords with ORM and SERP analysis, SERPWoo claims. The niche tracker, according to the company, offers a quick glance as to how the top keywords are performing for a better understanding of your site. With integrated data, you’ll spot new competition, view SERP archives, discover new platforms, ORM monitoring, and view multiple data feeds.

Pricing: $19.95 per month.

40. SpyRanks: Improve your SEO with real-time position details, monitoring competitors, and API Google analytics, according to SpyRanks. The company says its tool will help you understand your global visibility better than ever before. The report configuration will allow you to plan, customize, and monitor your SEO campaigns with an easy to use interface.

Pricing: Is dependent upon subscription length and professional or individual status. One month and one year subscriptions available.

41. GinzaMetrics: GinzaMetrics aims to help marketers use marketing intelligence that’s designed to get you found with thousands of marketing strategies, search terms, content creations, and daily metrics to improve brand visibility. The company says its scalable SEO platform lets you view marketing channel insights, perform daily SERP tracking, do keyword and topic discovery, and gain content recommendations, while checking out competitor intelligence.

Pricing: Professional $1000, Premium $2000, Portfolio $3000 (per month). Enterprise package available upon request.

42. AlloRank: AlloRank says it allows marketers to view daily Google SERP reports with multiple keyword positions on several websites. Set the frequency to view results hourly, daily, or weekly. The personalized dashboard offers a free SEO tool, which is directly accessible through your web browser so there’s no need to install any software.

Pricing: Varies between 29-449 euros per month depending on plan. A free plan is also available.

43. Colibri.IO: Maximize brand visibility with social media and SEO monitoring in one, claims Colibri.IO. Tap into conversions, competitor info, collect leads, and improve your search engine ranking with SEO monitoring.

Pricing: Standard $95, Large $295, Agency $995 (per month).

44. SERPScan: Track your search engine rankings with SERPScan. The company says its tool will reveal actionable insights with daily reports and alerts for any drastic change. SERPScan claims to help you find out more about your local ranking, track your competitors, and track over 150 search engines from around the world with query tracking and real time updates.

Pricing: Consultant $99.99, Agency $249.99, orporate $399.99 (per month).

45. EZ Website Monitoring: Keep tabs on your website and your competitors with one easy to read report, says EZ Website Monitoring. Monitor and track the popularity of keywords, view historical graphs, and receive instant notifications. With Uptime monitoring, your website will be checked every 5 minutes from multiple locations to ensure it’s performing its best, the company claims.

Pricing: Site is currently in Beta, so it’s free.

46. Fresh Web Explorer: Research and compare mentions and links with analytics of your brand, competitors, and keywords with Fresh Web Explorer, the company claims. Fresh Web Explorer says it helps marketers index and find the latest mentions from over 3 million RSS feeds and more than 72 million URLs to discover the most relevant content on the web.

Pricing: Available with Moz packages. 30-day free trial also available.

47. SERP mojo: Track your rankings on an Android phone with this cool tracking application, say the makers of SERP mojo. There is a free version that is easy to install and use. With over 10,000 downloads and 788 largely positive reviews, this app helps marketers to track rankings on the go. You can also upgrade to Pro for daily data refresh and additional analytic insights.

Pricing: Free version and upgrade to pro for $3.99.

Social Media Analytic Tools

There are a lot of social media tools out there, but here are some to watch.

48. Iconosquare: Become more familiar with your Instagram account and how it’s performing with key metrics offered by Iconosquare, the company says. The company says it helps improve audience engagement via sponsored photo and video contests, while allowing marketers to discover their total “likes,” the origination of responses, and how followers are finding them. Iconosquare can be connected to Hootsuite.

Pricing: Available upon request.

49. Curalate: Curalate offers a smarter means to measure, monitor, and grow a brand using visuals, the company claims. According to Curalate, marketers can use the visual marketing platform to connect Pinterest, Instagram, Tumblr, and Facebook to run contests, analyze social images, and schedule and publish posts.

Pricing: Available upon request.

50. Sprout Social: The company claims it offers world-class engagement tools allow you to engage, publish, and analyze to create an exceptional brand experience . The tool, according to the company, allows marketers to publish to Google+, Facebook, LinkedIn, and Twitter, while engaging their audience right from their desktop or mobile device. Integrated analytics allow users to monitor their social media efforts with in-depth reports.

Pricing: Packages range from $59/month – $500/month

51. Brandwatch: Brandwatch is a business platform that allows advanced social media monitoring and analytics, according to the company. Searches pinpoint every discussion about your brand or product, allowing you to “listen” in 27 different languages to what people are saying. The data analytics offer customizable solutions to share data with your entire organization.

Pricing: Packages range from $800/month – $3200/month.

52. Radian6: Known as the industry’s social pioneer, Radian6 says it lets marketers quickly and efficiently track, monitor, and react to comments, questions, and complaints in real-time. Listen and engage more than 650 million sources, including Facebook, Twitter, and YouTube.

Pricing: Available upon request.

53. Woobox: The company urges marketers to join more than 3 million brands by creating engaging social media promotions with powerful contests, sweepstakes, coupons, polls, and more. The promotional marketing and Facebook apps allow you to engage your fans to grow your fan base by spreading your message, while keeping fans happy. Although Woobox is more of a social platform for contests and engagement, they do offer some Facebook analytics.

Pricing: Packages range from free to $249/month.

54. North Social*: Offers fully integrated Facebook apps aimed at improving marketing and PR. The software, according to its makers, allows you to attract and engage to capture and maintain leads to drive better conversion and retention rates. Then, get a snapshot or in-depth report with easy-to-read analytics to measure your results to get more from your marketing.

*Note: Now a division of Vocus.

Pricing: Available upon request.

55. Hootsuite: Manage and measure more than 35 social media platforms from what the company calls the leading social media dashboard. Manage multiple social media accounts, schedule social media posts, track mentions, and analyze social media traffic to track conversions and measure campaign results. Join more than 10 million satisfied users to simplify managing your social networks, Hootsuite urges marketers.

Pricing: Varies upon needs. Contact for more information.

56. Twitter Feed: Feed your blog to Twitter, Facebook, LinkedIn, and many other social networks, Twitter Feed promises. With real-time tracking, monitor stats for each of your feeds to see which content in generating the most engagement and which is generating the least. Use the data to adjust your blogging for increased success.

Pricing: Varies upon needs. Contact for more information.

57. Followerwonk: Followerwonk, a Twitter analytics tool from Moz, allows you to find, analyze, and optimize to increase your social growth. The company promises the tool helps you explore your social graph by connecting with new influencers, sort your current followers, understand your social network with actionable visuals, and share your reports to engage your followers with niche specific tweets.

Pricing: Starting at $99/month (included in Moz Pro Subscription – includes other tools as well).

58. Peek Analytics*: Peek Analytics is the ultimate Twitter audience measurement tool, the company claims, offering unmatched demographics and psychographic insights to consumer data. Gather data from more than 60 social networking sites and every major blog platform to understand your social customers. The in-depth social audience reports offer aggregate level insights, including demographics, career, education, interests, and more.

*Note: This site is now StatSocial.”

Pricing: Available upon request.

59. Simply Measured: Simply Measured says it provides social media analytics that are specifically designed with serious marketers in mind, featuring visuals of your efforts and those of your competitors. The company claims that, with its tools, you’ll get the most complete view of your social activities from top social networks to analyze owned, earned, and paid social media, as well as audience insights with cross-channel analysis.

Pricing: Social $500, Professional $800 (per month). For Enterprise package contact Simply Measured.

60. Social Mention: Social Mention is a real time social media search engine that looks for mentions of whatever keyword you put in. One of the best parts is, you can do a search for just about anything in real time and get results. Social Mention gives insight into the sentiment of the term, based on keywords used in social media posts.

Pricing: Available upon request.

61. ViralTag: Publish your visual content to multiple platforms at once with ViralTag. The company says its platform already has over 40,000 users, both individuals and business, and is geared largely towards Pinterest.

Pricing: You can sign up for free. There is a pricing page, but it was not working at the moment.

62. Piquora: Geared towards Pinterest and Instagram marketing, Piquora is currently used by over 400 brands to get more out of the visual web, according to the company. They have both a Pinterest and Instagram marketing tool and analytics set. On the Pinterest side, you can see things like most pinned, repinned, etc. On the Instagram side, see most liked, most commented, etc.

Pricing: Get a demo is your only option.

63. Tailwind: Trusted by over 25,000 brands and agencies, the company says, Tailwind is a Pinterest management and analytics tool that lets you schedule pins and repins, track comments, likes and traffic on pins over time and helps you determine influencers in each niche.

Pricing: Free trial option, $9.99 option, $149 option, $399 option and enterprise option.

64. Pin Alerts: This simple tracking tool tells you when someone pins a URL from your website. According to PinAlerts, “Setup free PinAlerts in seconds, and receive email notifications whenever someone pins something from your website.”

Pricing: Free.

65. ViralWoot: Over 39,000 individuals and businesses use ViralWoot for their Pinterest management and analytics, according to the company. The platform allows you to gain followers by being displayed in the ViralWoot database, promote pins, create pin alerts, manage multiple accounts and get analytics on each of these items.

Pricing: Sign up for free, no pricing listed.

Honorable Mentions

These analytics programs are not necessarily social media or SEO focused. Some are big data, others are mobile- or marketing-focused.

66. KeenIO: According to the company, Keen IO takes the pain out of custom analytics with powerful APIs to gather the data you want to find the answers you need, which is stored in the Cloud. Transform your data into answers to strengthen your network with scalable information in minutes. Build and collect huge amounts of event data whenever you’d like.

Pricing: Packages range from Free to $2,000/month.

67. MixPanel: MixPanel says it has created the most advanced platform for mobile and web to measure engagement metrics, not just page views. The segmentation tool simplifies queries by allowing marketers to visualize data in less than 10 minutes. With in-depth data, MixPanel claims, you’re able to customize your social approach to reach more relevant social engagement.

Pricing: Packages range from Free to $2,000/month.

68. SimilarWeb: Receive insights from any website or app with SimilarWeb — the secret weapon of marketing teams around the world, the company claims. Integrate tools you’re already using to sort data from your databases using traffic and engagement factors. Use your insights to boost your intelligence capabilities directly from your browser with instant traffic stats.

Pricing: Basic $199, Advanced $499, Ultimate $799 (per month).

69. Voodoo Alerts: Voodoo Alerts offers 24/7 automated conversion and funnel monitoring to identify conversion problems with alerts, according to the company. Voodoo Alerts claims it makes it simple to pinpoint website problems and broken segments to visualize online conversions.

Pricing: From $25 – $500 per month. Discounted if you sign up for a year.

70. Lucky Orange: See how your visitors actually use your website with specific heat maps and polls using Lucky Orange. The company claims you can learn directly from your customers with interactive user chat and instant customizable polls to form comprehensive analytics to understand your audience. Use the heat maps and visitor recordings to strengthen weak areas for increased engagement.

Pricing: From $10 – $100 per month. 10% off if sign up for one year, 30% off if sign up for two years

71. Optimizely: Optimizely for websites and mobile apps offers testing tools that allow marketers to experiment with different versions of pages and choose the one that’s best at reaching their business goals. The company says it has a code-free visual editor that provides a powerful experience that’s fast, scalable, secure and integrates with best-in-class solutions.

Pricing: Starter Package is Free, Enterprise package available with pricing upon request.

72. Crazy Egg: See where visitors click to improve conversions and understand user behavior with Crazy Egg’s visual website analytics and heat maps. Over 200,000 businesses are producing better conversions with heat mapping technology to target and engage website visitors, the company claims. Receive immediate insights to understand your visitors’ behavior.

Pricing: Packages range from $9 -$99/month (paid annually).

73. Megalytic: The company claims its tools simplify analytic reports to enable marketers to gain faster insights and deliver the data you need to the right people exactly when you want it. Streamline the monthly client reporting process to produce better reports faster with insightful digital analytics, Megalytic says.

Pricing: Packages range from $4.99 – $179.99 per month.

74. Cyfe All-In-One Dashboard: With Cyfe all-in-one dashboard, you’re able to monitor all of your business’s date from one location. View social media, analytics, marketing, sales, and even your infrastructure with pre-built widgets for custom data sources. Find worldwide information about your business or manage projects from one location. The company urges you to join more than 70,000 satisfied users by trying the dashboard app.

Pricing: $19 per month ($14 per month if paid annually).

75. Tableau Software: Tableau Software provides one of the simplest methods to use and access your data by providing real answers to your data needs, the company claims. The simple interface allows you to analyze your data without the need for canned reports, dashboard widgets, or templates. With the interactive data features and the creation of custom charts, you’re able to easily share analytics in the Cloud.

Pricing: Ranges from $500 – $1,999.

76. IBM Watson Analytics: Watson Analytics by IBM gives you the ability to improve, manage and sort data in advanced ways in order to make better business decisions. With Watson Analytics, you can create clear infographics (not the marketing kind, the big data display kind). According to the company, 22,000 people have signed up for this platform since it launched on December 14th. The three main areas offered are explore, predict and assemble.

Pricing: Free Trial, No Pricing Information.

The Good Old Boys

Don’t forget about the core programs out there, of course. I think of these as some of the most important and haven’t mentioned them above because they’re practically a given. We love those too!

  1. Kiss Metrics
  2. Google Analytics
  3. Webmaster Tools
  4. Omniture
  5. Etc.

Summing It Up

I hope you enjoyed my list and hopefully found a new analytics program that got you excited. There are so many programs out there, it can be hard to keep up. If I missed one of your favorites let me know. Please keep in mind, I tried to stay away from programs that only have a tool component like Tweet Adder,  Screaming Frog andXenu Link Sleuth. This was more of an analytics list.

Creating this list fascinated me. I really feel we are in the infant stages of Internet marketing analytics. Watching these programs and tools evolve is going to be very exciting. Special thanks to @DannyAtIgnite and @alyssa_ast for your help on some of the pricing research and write ups.

Note: This article originally appeared in Marketing Land. Click for link here.

Originally Posted at: The Big List: 80 Of The Hottest SEO, Social Media & Digital Analytics Tools For Marketers by analyticsweekpick

Slow progress forces Navy to change strategies for cloud, data centers

computer-data-center
The Department of the Navy isn’t making as much progress on data center consolidation and moving to the cloud as it wants to. So the Navy is moving the initiatives under a new owner and coming down hard on those who are standing in the way.

“Later this year, we will make an organizational change to our approach to data center consolidation. The Data Center and Application Optimization (DCAO) program office will move from under Space and Naval Warfare Systems Command (SPAWAR) headquarters to under Program Executive Office-Enterprise Information Systems (PEO-EIS) as a separate entity or program office,” said John Zangardi, the Navy’s deputy assistant secretary for command, control, computers, intelligence, information operations and space and acting chief information officer. “This will better align consolidation efforts with network efforts and more fully leverage the Next Generation Enterprise Network (NGEN) contract.

So we will build on their application experience. The DCAO will be responsible for establishing a working model for Navy cloud hosting service brokerage. This will be for the delivery of application hosting via commercial and federal agencies. Culturally, we have to make this shift from a mistaken belief that all our data has to be near us and somewhere where I can do and hug the server, instead of someplace where I don’t know in the cloud. This is a big shift for many within the department. It’s not going to be an easy transition.”

Since 2012, the Navy has made some progress. Zangardi, who spoke at the 14th annual Naval IT Day sponsored by AFCEA’s Northern Virginia chapter, said over the last three years, the Navy has consolidated 290 systems and apps across 45 sites. But overall, he said getting bases and commands to move faster just isn’t happening.

The Navy plans to officially move the data center consolidation office into the PEO-EIS office in July.

Testing the cloud access point

Knowing the difficulties and challenges over the past few years, Zangardi said he’s taking several steps to help ease the pain.

First, he said his office picked three data centers that are lagging behind and required them to develop a plan to consolidate and move their data to a centralized data center.

Second, the Navy is rationalizing large scale apps. Zangardi said too often people hold their applications and servers close.

“I spend a lot of time thinking about the cloud access point (CAP) and our data centers. My objective is to move stuff as quickly as possible. The applications we are looking at right now to move to our cloud access point, the ones I’m most interested in moving right now, would come out of the N4 world, so we are talking about things like maintenance or aviation type of stuff so think logistics,” he said. “We’re also looking at enterprise resource planning (ERP). Can we move our ERP to a cloud type of solution to drive in more efficiencies? I think most of the things we are looking at, at least upfront, would be business sort of applications.”

The third way to ease the pain is by using pilot programs to get commands and bases comfortable with the idea of letting go of their servers and data.

“PEO-EIS and SPAWAR Systems Center Atlantic are piloting a cloud access point in conjunction with the commercial cloud service provider. It’s currently operating under an interim authority to test,” Zangardi said. “These organizations have the right expertise to develop the approach for the department to leverage the cloud. However, the CAP pilot is in its early stages. Essentially right now we are doing table top testing.

Our objective over the next year is to move from a pilot effort to what I would term a productionized commercial cloud. What do I mean by productionized? Simply to me it means an industry leveraged approach that can scale to demand from users. This capability should be secure, provide lower costs for storage and data and facilitate mobility.”

One big question about this consolidation effort is how to break out the 17 or 19 data centers that fall under the NGEN Intranet, and put them under the PEO- EIS team with the other data centers.

Zangardi said the Navy is considering an approach to this, but it’s still in the early stages.

Private cloud works just fine

While the Navy is open to using commercial or public clouds, the Marine Corps is going its own way.

Several Marine Corps IT executives seemed signal that the organization will follow closely to what the Navy is doing, but put their own twist on the initiative.

One often talked about example of this is the Marines decision to not move to the Joint Regional Security Stacks (JRSS) that is part of the Joint Information Environment (JIE) until at least version 2 comes online in 2017. Marine Corps CIO Gen. Kevin Nally said the decision not use the initial versions of JRSS is because Marine Corps’ current security set up is better and cheaper than version 1 or 1.5.

More see – http://www.federalnewsradio.com/412/3857833/Slow-progress-forces-Navy-to-change-strategies-for-cloud-data-centers

Source: Slow progress forces Navy to change strategies for cloud, data centers