Secrets of predictive analytics

A recent study indicates that big data and business analytics will grow from nearly $122 billion in 2015 to more than $187 billion in 2019. That’s a 50 percent increase over the five-year forecast period. The bottom line is everyone wants data on everything all the time, but collecting and analyzing this data isn't effective unless done correctly.
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Spotlight

OTHER ON-DEMAND WEBINARS

BI & Data Trends 2022

According to PwC, nearly 4 out of 5 CEOs believe that remote collaboration will last after the pandemic. And Gartner predicts that through 2025, 80% of organizations trying to scale digital business will fail because they don’t take a modern approach to data and analytics governance.
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Digital Leadership: Accelerating Growth with Data and Analytics

The events of the past year have changed the way we think about digital experience, and organizations that are serious and strategic about digital transformation are leaping ahead of the rest. Kirsten Newbold-Knipp, Fullstory's Chief Marketing Officer, and guest speaker James McCormick, Principal Analyst at Forrester, host this on-demand exploring Digital Leadership: Accelerating Growth with Data and Analytics, featuring Forrester’s Winning Strategies for Getting Digital Experience Right.
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Predictive Analytics vs. Data Science: Why We Built One and Not the Other

In this webinar, Heap’s head of Data Science, David Robinson, will talk about why we took a data-science-led approach to insights that starts with the questions teams actually care about. He’ll also talk about how a combined quantitative + qualitative platform gives teams the predictive information they need and the context that makes that information actionable.
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Why Your Data Management Strategy Isn’t Working

IDERA

Despite good intentions, data management strategy and practices are coming up short in the majority of organizations. This is often due to many factors that are attributable to low data maturity and misalignment with business objectives. IDERA’s Ron Huizenga will discuss a number of misconceptions and behaviors that limit effectiveness, as well as how to overcome them. This will enable you to identify and implement the necessary changes to achieve business alignment and derive maximum value from your data management strategy and practices
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