The Who, Why, and How of Big Data

Data analysis isn’t just one person’s job today.  Yet data often still exists in silos. Or it’s organized in a way that actually makes it harder to distill valuable information.  Forward-looking companies are integrating data into all facets of the business.  They are enabling users from across the company to explore and generate insight from data from different sources, in one place, at any time, with complete transparency.

Really Good Analytics

It is ultimately humans who need to make the decisions around what all this data actually means, and why it matters for their brands and consumers.

Big Data – Building high-fidelity models for simulation

Big Data is about turning data into information about what happened, where it happened and why it happened.  Predictive Analytics is about turning that information into knowledge of what may happen.

Most people think predictive analytics is a turbo charged spreadsheet or rows and columns of data in statistical packages.

Predictive analytics is about models that give you knowledge of the potential futures

The Who Why How of Big Data
 
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