Understanding the Customer through Big Data and Small Data

May 14, 2019

Big Data How is it defined? Gartner’s early definition remains widely accepted: ‘Big Data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation.’In recent years, some definitions include additional ‘Vs’: Veracity  how accurate is the data, and Value  how useful is the data.
Small Data How is it defined? There’s little agreement on the definition of Small Data. Allen Bonde, one of the earliest users of the term, defines it as connecting people with timely, meaningful insights (derived from big data and/or “local” sources), organized and packaged often visually to be accessible, understandable, and actionable for everyday tasks.’Martin Lindstrom defines it as ‘the tiny clues that uncover huge trends’, based on observational data. It’s also defined as data that is small enough size for human comprehension.

Spotlight

Blue DME

Blue DME is an Artificial Intelligence Independent Software Vendor specialized in sales performance acceleration, external data discovery and data science that works in the insurance, banking, automotive and industry sectors. We created a SaaS platform that improves sales and marketing performance of companies with a complex sales cycle. It is based on predictive marketing technologies to anticipate the likely behaviour of a visitor / prospect / customer: we optimize the targeting of commercial actions (best offer for specific consumers most likely to be receptive at a given time). Operational insights & recommendations are then provided in real-time to the sales teams (prescriptive analytics).

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Spotlight

Blue DME

Blue DME is an Artificial Intelligence Independent Software Vendor specialized in sales performance acceleration, external data discovery and data science that works in the insurance, banking, automotive and industry sectors. We created a SaaS platform that improves sales and marketing performance of companies with a complex sales cycle. It is based on predictive marketing technologies to anticipate the likely behaviour of a visitor / prospect / customer: we optimize the targeting of commercial actions (best offer for specific consumers most likely to be receptive at a given time). Operational insights & recommendations are then provided in real-time to the sales teams (prescriptive analytics).

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