close
Altair Newsroom

Featured Articles

Reconsidering the Role of Open-Source in Data Analytics

Only 11% of business intelligence (BI) and analytics users consider open source critical. Despite sitting squarely in a minority, those people outperform the other 89% on many key measurements. They report significantly more instances of:

  1. BI and analytics budget increases
  2. The highest level of success with BI initiatives
  3. Data leaders in place
  4. The two highest levels of data literacy
  5. Making data-driven decisions all the time

So how can organizations become more open-source literate with their data analytics infrastructure? Find out in this latest report from Dresner Advisory Services. 

Executive Summary

  1. Only 11% of the surveyed organizations deem open source as critical to their analytics and BI initiatives going forward. However, that minority outperforms the other 89% in many important measures.
  2. Organizations that view open source as critical report more instances of increasing BI and analytics budgets, and fewer instances of flat and decreasing budgets.
  3. Those who consider open source critical most frequently come from both the smallest and the largest organizations.
  4. Organizations that view open source as critical are 39% more likely to have a data leader and 26% less likely not to have a data leader (compared to all other organizations).
  5. Organizations that view open source as critical report having the two highest levels of data literacy almost twice as often as all other organizations.
  6. Organizations that view open source as critical express a slight preference for best-of-breed build-your-own environments, compared to single-vendor integrated BI platforms.
  7. Organizations that see open source as critical are more likely to have everyone using spreadsheets.

You can read and download the full report, “Time to Seriously Reconsider the Role Open Source Can Play in Data and Analytics” here.

Read Previous Reports

Related Articles