How to Make Analytics More Meaningful

Organizational Performance

Subscribe To Our Channel

Subscribe On Your Favorite Podcast Platform

The bottom line with analytics is simple: To make analytics more meaningful, you must be able to answer the business’s key questions. Equally, you have to measure what is meaningful for your company, and not necessarily use best practices. If you don’t know what to measure, you cannot gain any insight from it. Worse, if you measure the wrong thing, your conclusion may actually lead you down a path that can negatively impact business performance. In our research, (and in our work with clients) we have observed three challenges that companies typically face when trying to make analytics more meaningful. Today I’m going to share those challenges with you and how to overcome them.

I hope you enjoy this video and learn something that you can apply right away.

Until next time.

Time Stamps

In this episode you will learn:

  • Three challenges that companies typically face – 0:43
  • Challenge #1 – 0:53
  • Challenge #2 – 0:58
  • Challenge #3 – 1:04
  • Criticality – 1:11
  • Analytics prioritization principles – 1:37
  • Prioritization exercise – 1:45
  • 100 Questions – 2:41
  • 10 specific areas – 3:51
  • Question examples – 4:13
  • Scaling down the questions – 5:30
  • Sharing with your Leaders – 5:44
  • Creating the conversation – 6:12

Resources Mentioned

Guest

THIS EPISODE WAS SPONSORED BY:

COMMENTS BELOW

Let Us Know Your Thoughts

Bring Your Organization to the Next Level