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Clean data is crucial for deriving insight from data and powering applications like Predictive Analytics, Business Intelligence, Machine Learning and Artificial Intelligence. “Research shows that 40% of the anticipated value of all business initiatives is never achieved. Poor data quality in both the planning and execution phases of these initiatives is a primary cause,” according to Gartner.

In this webinar recording you’re going to learn how to build a data lake to power these applications and other emerging data technologies. We will explore how to implement an Enterprise Data Management strategy by Caserta that will unleash your data to power decisions, fuel efficiencies and shape the direction of your organization. We will examine a real-world digital-transformation use case from a Tier-1 bank and see a demo of Trifacta Wrangler.

In this 50-minute recording you’ll learn:

  • Why data lakes become data swamps
  • Effective Enterprise Data Management Strategies
  • Corporate Data Pyramid
  • The role of data preparation and how it fits into the corporate data pyramid
  • Key elements of data preparation to clean the swamp into pristine data assets

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""