To address this need of organizations to implement strong data literacy initiatives, a six-step approach to help organizations put in place a data literacy program. An overall key to success with data literacy programs is the iterative approach it needs to take.
The six-step approach follows strong principles and helps an organization to evolve naturally to using data effectively. The six-steps are the following:
- Planning and Vision – Organizations need to plan a true data literacy vision, embrace it at the Chief Data Officer Level, and ensure the plan and vision are adopted into the organization.
- Communication – True communication is needed, so organizations are fully aware of the evolution taking place in the analytics economy.
- Workforce Assessment – To ensure people know how to learn and develop, they must know their comfort level with data literacy. This assessment helps to position everyone appropriately for the data literacy learning and initiative.
- Culture Learning – Before individual learning, organizations must train on the culture of data literacy. By so doing, individuals know the characteristics and things that need to exist in the data literacy vision.
- Prescriptive Learning – Each individual will have their own plan to develop data literacy. Everyone has their own data literacy comfort level and should address it as such!
- Measure – We must measure the organizations growth in data literacy. When we measure, we can see the progress the organization is making toward being more data driven.
This was just an intro into the six-steps of a true adoptive framework for data literacy.
For more information, visit:https://blog.qlik.com/data-literacy-the-key-to-adoption