By their nature, both business and IT departments often think from the existing application portfolio, with all its limitations, workarounds, and sub-optimizations. Because each application has its own database and that leads to multiple 'sources of truth', a whole landscape of point-to-point connections to tie them together and a long list of hard-to-maintain authorization schemes to monitor access.
The future success of a cloud strategy will largely be determined by chain-wide data that is real-time and actionable. And that requires more than a central data warehouse or "data lake" to which applications periodically send a set of new data. Instead of defining the cloud strategy by the existing set of discrete applications and infrastructure environments, it is good to use the following three tools.
1. Take a closer look at your business model
A maximally profitable cloud strategy starts with the future vision of the organization and the possible need from the market to adapt or radically change the business model. Almost every traditional business model is threatened by newcomers who act from a 'born-digital' or 'born-in-the-cloud' mentality. They are already exploiting the opportunities offered by cloud platforms, machine learning, low code and blockchain to provide added value to customers in radically different ways.
The first step of a future-proof cloud strategy is therefore to take a critical look at the current business model. Besides new insights, this also leads to an overview of the most important strategic priorities for the coming period. Operationalization can then be initiated.
When implementing these strategic priorities, data (sets) are crucial for action-oriented and real-time adjustments. The better the business can indicate which data is crucial for optimal decision-making within the business processes, the more effective the next steps will be.