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RESEARCH & RESOURCES

Available On-Demand - This webinar has been recorded and is now available for download.

Seven Strategies for Achieving Big Data Analytics Maturity

TDWI Speaker: Fern Halper, TDWI VP and Senior Research Director

TDWI Speaker: David Stodder, TDWI Senior Research Director

Date: Wednesday, October 26, 2016

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

Big data analytics is full of potential – but also fraught with pitfalls, obstacles, and a fog of hype surrounding the technologies. To be successful, organizations need to know where to begin with big data analytics and how to sustain progress so that they can achieve objectives. With key strategic initiatives hinging on success with big data analytics – including developing competitive innovations in customer intelligence and engagement, fraud detection, security, and product development – organizations need a roadmap for how to move ahead.

Attend this TDWI Webinar to learn how your organization can develop a plan for increasing its big data analytics capabilities and charting a path toward becoming an innovative, visionary leader in big data analytics. Hundreds of organizations have employed TDWI’s Big Data Maturity Assessment Tool to see how they compare with peers and learn in which areas they need to focus so they can advance more rapidly and in a sustained fashion. In this Webinar, TDWI will discuss what we have learned about the state of big data analytics maturity from these assessments. Based on our recently published Checklist series on big data analytics maturity, we will describe steps organizations can take to become more mature.

In this Webinar, TDWI will cover seven strategies to help you learn:

  • How your organization can move from one stage of big data analytics maturity to the next
  • Best practices for overcoming organizational, infrastructure, data management, analytics, and governance barriers to maturity
  • Strategies for gaining business buy-in for big data analytics project investment
  • Important technology trends for consideration in big data analytics roadmaps

Fern Halper, Ph.D., David Stodder


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