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© Panoply Ltd. 2018

Is it a golden age of data analytics? Is it the data analytics dark ages? Innovation everywhere and competitive vendors are great for organizations, but the overwhelming variety of technologies and products serves as an obstacle to analytics adoption, progress and success.

In this report, we identify data product categories, identify several companies within it, then explore the way in which they approach the union of data and the elimination of the silos within it.

In this white paper, you'll discover:

A pragmatic framework for operationalizing a data transformation

The 9 major categories of data products and the differences among them

How to address data silos and when to eliminate them in the data lifecycle.

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By:

Andrew Brust

Analyst, Gigaom Research

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Removing Silos & Operationalizing Your Data: The Key to Analytics

Data Warehouse + Data Lake: 

Get the Synergy, Ditch the Complexity

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