Data analysis issue, or data collection issue?

The research explored in my latest active information post caught the attention of my inner retailer, figuring out why customers do the things they do:

“…Sifting, cleansing and connecting disparate pieces of data to unearth a clue or two to customer behavior. Think click-stream analysis. And in the case of multichannel businesses, follow-on activities to correlate in-store visits, customer service calls and such.

That’s a significant amount of up-front time and effort. Compounding the issue, the shortage of data explorers is well documented. No wonder organizations are focusing on data collection and procrastinating on data discovery.

But perhaps, the big problem of big data isnt one of analyzing the data stockpiles. Rather, the problem is in our data collection techniques and scoping…”

Read the post: Customer behavior data: better collection, better … – Input Output.
Related posts:

  1. Big Data, ambiguity & the new era of Data R&D – active information
  2. 8 Rules for Big Data – Active Information
  3. Developing data literacy: Informed Skeptics & Big Judgment — Active Information

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