State of Analytics 2022: The Quest for Data Literacy

New insightsoftware research, in partnership with Hanover Research, has found that more organizations are prioritizing data literacy in 2022. However, results also highlight a clear sequence of gaps that must be bridged on the road to data fluency:

1. Data quality and consistency is the foundational challenge. Most organizations work from multiple disconnected data sources with unreliable data entry methods. Without confidence in the base data, employees will never reach data fluency. Systems and processes must be carefully considered to ensure data alignment and accuracy.
2. Next, connected data is essential for users to achieve a wholistic view of the organization. Analysis of data from one system does not give a complete picture. Ironically, many businesses feel like their analysis is hamstrung by the complex array of data systems and tools at their disposal.
3. Related to this complexity, self-service of analytics emerged as a priority for many organizations. ‘Self-service’ has been a business intelligence buzzword for the last decade but lacks a clear definition. The truth is that self-service is a relative state, depending on the specific needs and skills of your analytics users.
4. Finally, predictive analytics is the capstone to true data fluency, representing true synergy of people, data, and tools. With all the other, more foundational, challenges to work through, predictive analytics unsurprisingly scored lowest on the list of current capabilities. However, predictive analytics and true data synergy should be the end goal for any data-driven organization.

Download the full report now to better understand your organization’s data literacy challenges and how you can bridge the gap.