Making Data Literacy a Top Priority
Data literacy needs to rise to the level of human-language literacy and become part of the cultural fabric of organizations. Yet, many individuals in today’s workforce are not at such a level, having never received proper training—if any—in data-literacy concepts. For many years, it was common for even advanced-degree programs not to provide data-literacy training beyond a basic statistics class. That makes the need for ongoing data-literacy programs a critical, strategic imperative for data leaders as well as executive management. How can organizations upskill their personnel and bring their organization to the cutting edge of data analytics? Find out in this latest report from Dresner Advisory Services.
Executive Summary
- Organizations with the highest levels of data literacy also report most frequently making data-driven decisions all the time.
- Organizations with the highest level of achievement with their business intelligence (BI) initiatives also have the highest levels of data literacy.
- In organizations with high and extremely high levels of data literacy, availability of data-literacy education contributes to their BI success three times more often than it does in organizations with moderate, low, and very low data literacy.
- Organizations with the highest rates of data literacy also report the highest levels of BI penetration, while those with the lowest rates of data literacy also report the lowest levels of BI penetration.
- Organizations with the highest levels of data literacy also report having the most data-literacy programs in place.
- The presence of formal data leadership within an organization significantly increases the likelihood for support of a data-literacy program.
Read Previous Reports
- Part One: The State of BI, Data, and Analytics in Financial Services in 2022
- Part Two: Making Data Easier to Find, Access, and Use Should Start With a Data Catalog
- Part Three: Time to Take Ownership and Align Spreadsheets With Your Data Strategies and Programs
- Part Four: Cloud BI: Think Big, Think Small, Act Rationally
- Part Five: The Evolution of Demand for Master Data Management
- Part Six: Time to Seriously Reconsider the Role Open Source Can Play in Data and Analytics