Creating Analytics

Matt Jackson suggests four considerations when designing analytics :

1. What data do you collect?
2. What data do you value?
3. What data do you act on?
4. Are there any alignment requirements?

-DD

Data Analysis Project Failures

Mary Branscombe explains the causes of common failures in data analysis projects :

1. Assuming your data is ready to use — and all you need
2. Not exploring your data set before starting work
3. Expecting too much
4. Not using a control group to test your new data model in action
5. Starting with targets rather than hypotheses
6. Letting your data model go stale
7. Automating without monitoring the final outcome
8. Forgetting the business experts
9. Picking too complex a tool
10. Reusing implementations that don’t fit your problem
11. Misunderstanding fundamentals like causation and cross validation
12. Underestimating what users can understand

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-DD

Analyzing Customer Data

Ralph Tkatchuk shares ideas for small business who want to analyze their data. He suggests using Google analytics and user surveys.

-DD

Data Analysts Are In Demand

Katherine Noyes notes that data analysts or data scientists are in high demand. This is in part due to the flood of data being developed by sensors and new technologies.

-DD

Data Analytics

Bob Brown offers the names of 13 cloud data companies which are attempting to grab market share in the data analytics market.

-DD

IBM's Watson

Joab Jackson reports that IBM's Watson technology may someday replace spreadsheets as the default tool for analyzing data.

-DD

 

Data Analytics Need Improvement

According to Michael Cooney, DARPA is seeking more robust data analytics to cope with the surges of data being introduced by new technologies.

-DD

Data Literacy

Brian Mathews shares what Virginia Tech is considering to inculcate data literacy .

-DD

 

Big Data Will Save Your Life

Lucas Mearian reports that soon big data will save your life.

-DD

Data Sharing

Neil Savage provides examples of how government agencies and various non-profits may share their data with the world.   The development of a simple application programming interface is key to these sharing efforts, according to Savage.

-DD

Data Analysis Tools

Sharon Machlis has developed a Chart and Image Gallery of tools for data analysis.

-DD