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Big data in retail: How to turn a profit
Sponsored by SearchCIO.com
To successfully capitalize on big data, an iterative, experimental approach is essential to data-focused companies, and especially retailers, analysts say. In the cover story of this issue of CIO Decisions ezine, Senior News Writer Nicole Laskowski sheds light on how two retail companies -- one old (L.L. Bean) and one brand new (Etsy Inc.) -- are profiting from big data by adopting an R&D mentality predicated on A/B testing and other active analysis methods.
In our second piece, a cop-turned-Chicago CIO explains how he used open data to integrate data from various sources to improve the city's situational awareness and better serve constituents. In our third piece, we examine the Hortonworks' IPO and determine that big data enthusiasts shouldn't celebrate just yet, and also provide secrets to a data team's success.
Table Of Contents
- A tale of two retailers
- Cop-turned-CIO activates open data in Chicago
- With the Hortonworks IPO, has big data arrived?
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