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Why your digital transformation plan is incomplete without data and analytics

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Location
Online Webinar
Date
January 30, 2020
1:00PM EST

Location
Online Webinar
Date
January 30, 2020
1:00PM EST
Date
1 speakers
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The path to workforce productivity, asset optimization, process efficiencies, and customer satisfaction

Modern organizations are awash with data. The reality is that much of it is going to waste, however, because the data exists in silos that make it hard to extract insight in a timely way. Business initiatives related to digital transformation merely exacerbate this problem by creating more real-time data, in more systems, than ever before.

The biggest challenge facing enterprises today is how to leverage all these siloed and diverse data sources and extract insights to improve workforce productivity, asset optimization, process efficiencies, and customer satisfaction across the organization. In this first of our “Back2Basics” series of webinars, we look at how we got to where we are today and describe how implementing a modern data architecture will break down these silos and enable real, data-driven, business transformation across the enterprise.

The bottom line is, the core challenge for organizations is no longer collecting data but being able to extract value from it effectively and turn it into business-centric information. This webinar will show you how.

In this webinar, you will learn about:

  • The evolution of analytics and how to gain a better understanding and appreciation of the challenges that have been faced
  • How each challenge was approached uniquely by organizations leveraging that era’s best-of-breed technologies, and why some were more successful than others
  • How the adaptive and agile platform of Birst®, an Infor company, has addressed these challenges head-on and continues to be part of the emerging technologies recognized by analysts

Speaker

Paula Burton
Director of Product Strategy Birst, an Infor Company

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Why your digital transformation plan is incomplete without data and analytics

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