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Data Scientist: Human Today, Software Tomorrow
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D. Henschen
D. Henschen,
User Rank: Author
1/22/2015 | 8:55:09 AM
Data analysts using the least of their skills
I've heard the complaint about data analysts wasting time on mundane reporting tasks for years. As I report in this slide show on CIO priorities for 2015, GameStop had the same problem. "We were getting more questions than we had time to respond to, so our analytics team was turning into a reporting team," said Jason Kappel, GameStop's director, CRM, at the recent NRF (National Retail Federation) Big Show in New York.

Using the combination of Tableau Software for dashboard-based reporting and Alteryx for deeper analytics, GameStop was able to set up more of a self-service environment for business users. "We took Monday-morning reporting routines that were taking half a day and brought them down to about 5 minutes," said Kappel.

This common problem has been the impetus of the trend toward self-service reporting, which has led to fast growth for business-user-friendly BI tools such as Tableau, Qlik, and many imitators who have since added data-exploration and data-visualization products.
User Rank: Ninja
1/21/2015 | 10:07:20 AM
While automation will undoubtedly help organizations with some of the tedious tasks currently performed by data scientists, the evolution will only afford more time for specialists to utilize their talents to continuously come up with creative new ways to leverage data.  We need to keep in perspective that the big data analysis space is still maturing. Most organizations still have quite a ways to go before they are truly effective at utilizing data. It is something that comes with time, experience and honestly learning from failures/mishaps. 

Peter Fretty, IDG blogger working on behalf of SAS


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