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Building a Solid Foundation for Advanced Analytics Maturity

Published on 09 October 18

As the best of big data analytics and business intelligence coalesce, organizations now have their sights set on AI for predictive and prescriptive analytics. But how can they get there?

Effective predictive and prescriptive analytics will put an organization in an advanced analytics maturity level, but a solid foundation at the more basic levels has to come first. Earlier analytics maturity phases, including descriptive and diagnostic/root cause analytics, and intermediate levels, such as operational analytics, must be addressed robustly before further phases can be approached successfully.

Understanding the capacity your organization has to leverage analytics, and designing your analytics to match that, may be the best way forward, and this requires introspection and planning. Join us for this free 1-hour webinar from GigaOm Research to discuss how to assess, shore up, and advance your company’s analytics maturity. The webinar features GigaOm analyst Andrew Brust and special guest Steve Mahoney, Product Director from Looker, a leading provider of modern analytics platform software.

In this webinar, you will learn:

  • What a rational analytics maturity model looks like and where your organization lies within it
  • How to strengthen the integrity of your current analytics maturity level
  • How to map out your path to advanced analytics maturity and approach practical adoption of AI and machine learning
This blog is listed under Development & Implementations Community

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