A data framework forms the basis for the efficient handling of all company data - from collection and processing to storage and evaluation. It includes all the necessary processes, technologies and architectures to make data available, consistent and analyzable. Data tracking, data warehouses, data lakes and omnichannel integrations play a central role. This phase is primarily about the technical implementation of a powerful data infrastructure so that you can use your data smoothly - e.g. for reporting, machine learning or real-time bots.