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What’s the ceiling on the adoption of business intelligence?

June 14, 2022

Truth or myth? The tools required for data-driven decision-making are made for people with technical skills. If you lack the skills, you live life at the mercy of those equipped to access the data and provide you with the user-friendly reporting you need. Business intelligence tools are simply too complex and time-consuming for everyone to learn and use.

The truth is, typical business intelligence and analytics tools do lack widespread adoption within organizations. According to The BI & Analytics Survey 22 by BARC, the average adoption rate of business intelligence among employees in mid to large companies is just 15%.

This means that despite the large-scale investments organizations have made in business intelligence tools for self-service analytics, the actual adoption of these tools by decision-makers is not measuring up. We have found that more than 80% of available business data isn’t available for use in decision-making, and more than 80% of employees don’t even have access to analytics. The very people who need to make fast, well-informed decisions aren’t doing it.

Here’s another truth:

The right platform will scale to everyone who needs it.

Reports of low levels of analytics adoption are only accurate for organizations using the wrong tools. Widespread adoption of analytics and BI is possible on the right platform.

Unlike business intelligence tools, the right decision intelligence platform can centralize data access in a governed location. By giving anyone—regardless of skill—analytics experiences that adapt to their needs, organizations can scale analytics beyond the few to the many. Decision intelligence can be extended to everyone in the organization to make better decisions in their unique roles.

Here are some of the tried and tested benefits we’ve seen among organizations that embrace decision intelligence:

  • They create more compelling and relevant data stories.
  • Insights are delayed while waiting for IT to move data into a central repository.
  • The backlog of requests for reports, dashboards, and data extracts is sharply lessened.
  • Adoption of insight-led decisions ramps up as decision-makers are given tailored access to the insights they need to answer questions and take action.
  • People are more self-sufficient.

Our new guide, Mythbusting Business Intelligence vs. Decision Intelligence, debunks 12 common myths about business intelligence and shows you why decision intelligence is what’s next in analytics. Get instant access to the Mythbusting guide here (no registration required).

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