Why It’s Important
All analytics solutions will have embedded AI tools – in this case several different AI tools – by the end of 2023. While AI tools will greatly improve the usability of analytics platforms and provide recommendations for creating reports, graphics and dashboards, they will not supplant the need for data literacy among staff. In fact, they increase the need for data literacy. With AI, staff can access and analyse data, but the key issue is not the how, but the why of analytics. What questions should be asked and what problems can be solved with data?
Who’s Impacted
- Data analytics team
- End user computing/digital workspace teams
What’s Next?
- Measure and develop your staff’s data literacy skills, factoring that while AI will make exploring and interpreting data easier, it will not supplant staff reasoning.
- Take a steady, tested and well-evaluated approach to leveraging AI.
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