Ventana Research Viewpoint:
Changing Data Patterns Are Impacting Analytics


In their latest report, Ventana Research examines how organizations are handling real-time requests for data and why they need to turn to new types of analytics techniques based on machine learning (AI/ML) algorithms. 

According to David Menninger, SVP and Research Director for Ventana Research, “New analytics approaches that utilize automation for continuous analyses of this data will accelerate the decision-making process for line-of-business personnel and improve the organization’s performance.” Read the report to find out how changing data patterns are impacting analytics teams. 

In this report you’ll learn: 

  • Why organizations need the ability to react to changing data in real-time if they want to affect outcomes while the window of opportunity still exists.
  • How new types of analytical techniques based on machine learning can find correlations in data to highlight which factors have the greatest impact on the metrics that matter most to an organization’s performance. 
  • Why analytics organizations are turning to automated, proactive analyses to get the facts from their data in real-time. 
  • How automation can direct individuals to where their attention is most needed so they have more time to focus on key business problems instead of performing rote analysis. 

To read the report in full, fill out the form and download your complimentary copy.

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