Insights from simple data analysis.

Things you can do to make sense of data without being a data scientist.

In the previous article, we talked about collecting data and using it to make better decisions. Data analysis can be complex, but it does not have to be. This article will show you examples of simple analysis techniques that can give great insights that everyone can do — even if you are bad at math.

  • Which products show slowing growth but are still growing in profitability or maintaining profitability?
  • Which products are showing a decline in growth?
  • Which products are showing a decline in growth and profitability?
  • How many new products are on the list?
  • Are they new or just old products renewed and spiced up?
  • Have you in the last two years gone into another customer market?
  • Have you in the last two years introduced a new product?
  • If you have introduced a new product, was it yours, or did you get it from someone else (partnered with someone)
  • If you introduced a new product that was yours, how is it doing?
  • Have you been able to break into the mainstream market with your new product?
  • Have you killed a new product because you could not get it to work?
  • Have you killed any product because it was not selling?
  • Have you killed any product because it was no longer profitable?
  1. Jobs that customers want to do but cannot at the moment (some constraint needs to be removed).
  2. Jobs that we do ourselves to get our products ready to be hired to help customers get their jobs done (you can think of it as our internal environment and also as non-functional specifications).
  3. Jobs that customers did not even know they have, but once they know it, they would love to do it (revolutionary ideas or products that disrupts a market)

Johann Botha - the digital change provocateur & CEO of getITright®, specializing in building organizational agility & other digital-age capabilities.