Analytics 3.0: Merging Big Data and Business Intelligence (report)

Why a modern analytics approach involves fast data and fast intelligence.

Published: Jan 23, 2017
Updated: Sep 10, 2018
1 minute read
big data and business intelligence

<p>Data analytic icon set. Flat design</p>

Businesses want answers to complex questions quickly. But to accomplish that, the right information needs to be in the hands of the appropriate decision-maker at the right time.

That poses complexities for analytics software, because the total time to find, access, collect, process, and analyze data can take a long time. Business users also need effective visualizations to guide decisions.

All along the way, however, a business must constantly innovate with data to find new means of analysis.

In this special report from TDWI, “Data Driven Analytics: Knowing What You Don’t Know,” you will learn:

  • Advice from Deloitte Analytics on data innovation, using an Analytics 3.0 method that combines traditional business intelligence tools with big data platforms.
  • Why self-service analytics platforms are veering towards an “empowered UX” that can easily access and integrate data from structured and unstructured sources.
  • The benefits of ZoomData’s time-to-analytics approach, to shorten the cycle of effective decisions.

Fill out the form to download the report.

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