In spite of these challenges, a data-driven culture can be reached, but not overnight. Instead, several small steps have to be taken.
1. Clean your data
The first step is to address and improve data quality. New approaches such as machine learning and data mining are a common option when cleaning and structuring data. For this step, external consultants can help to find the right tools and methods.
2. Make data easy to access
After the data cleansing process, companies must ensure that data and information are quick and easy to find, the cost of access is low and information is presented in the right way. This is especially important because the responsibility for data will be given to business users. Companies must create a data governance structure that gives employees greater access to data, instead of restricting it.
3. Improve data literacy
Data literacy is the ability to read data and use it to make better business decisions. This does not mean that you should blindly follow data, but you should be information-driven. Companies should invest in training to support data literacy for end users.
4. Enhance cultural change
In order to complete all these steps, the establishment of a data-driven culture requires the encouragement of critical thinking and the fostering of collaborative decision-making. This time-consuming transformation has to be directed and supported by senior management, especially when it comes to setting up a roadmap, facilitating change and altering the mindset of the organization.