Data is the new oil. One of today’s most hyped sentences and we are sure you might hear someone said it once, or twice. In practice, we still see companies struggle to turn access to their data into business successes. In order to become a successful data-driven organization one should have a 1) solid strategy for data quality, data governance and data access 2) make sure to have the right tools, technology and expertise on board and last not but least 3) create a culture that places data at the heart of the organization.
Becoming a data-driven organization should always be considered as a tool to make better business decisions or more efficient usage of your resources. Being data-driven also opens the door for new services or empowers a new data-driven business model. Mediaan support customers in the field of:
- Access your data: it all starts with good data management. Defined architectural and design principles need to be in place to guarantee the quality of data. Accessing high quality, available data when and where you need it means designing and managing highly-available data infrastructures and powerful datastores. Our BI & Datawarehousing experts can help you to identify, combine, and manage multiple sources of data.
- Data analytics: our AI & machine learning experts can help you to detect interesting AI use cases to generate immediate business value and build advanced-analytics models for predicting and optimizing outcomes.
- Data mindset: data-driven organizations are not only effective by choosing the right tools and technology but need to be able to adapt a changed mindset. Our experienced data strategists can help you transform your processes, systems and culture.
THE DATA-DRIVEN WORLD
Become a data-driven organization is important to drive operational excellence, discover hidden business opportunities, make better business decisions and improve customer intimacy. Companies use new technologies and insights to go a step further and rethink their whole strategy, or even come up with new and creative business models. For example, governments can provide a safer environment for their citizens, logistics companies can organize their resources more effective based on the prediction of orders and financial departments can forecast their liquidity.