4 Data Patterns to Investigate for Certification Training and Test Prep Program Success


Navah farahat benchprep
Data Engineer, BenchPrep
Webinar Recording Details
  • Date and Time
    Wed, Oct 12, 2022 at 9AM Pacific / 12PM Eastern
  • Duration
    1 Hour
  • Cost
    $0 (Free)
  • Want Access?
    Register to view the recording.


Does your current learning technology give you the data you need to crack the case for eLearning success? Does it leave you insightful clues about what’s working, what’s not, and what your learners need to succeed? Or is all of that a mystery to you, a case yet to be solved?

The right learning technology can give you the data, but you need to be your own data detective to draw conclusions and identify patterns that give you a deeper understanding of your learners, content, and overall training program. Only then can you ensure that your learners are adequately prepared for their high-stakes certification exams and that you are making better-informed business decisions that positively impact your bottom line.

In this webinar, you will learn:
  • How the right LMS uses data analytics and reporting to take your training program to the next level
  • How to analyze and interpret data from your training and test prep programs
  • Examples of patterns our customers have identified to improve their training programs and help their learners succeed

About Navah Farahat, Ph.D.

Navah Farahat is a Data Engineer at BenchPrep, an award-winning learning platform purpose-built to help learners feel confident and prepared to take high-stakes certification exams by delivering an intuitive, efficient, and engaging study experience. Learners worldwide engage with a wide range of BenchPrep-powered content every day, producing millions of individual interactions. Navah is responsible for developing and maintaining BenchPrep's powerful data platform, which unveils stories about learning, engagement, and mastery contained within our customers' raw data.

Sponsored By

Panel newest members
Digital Sponsors