Comprehensive digitization and networking mean that huge volumes of data are generated in companies. And they want to use this data with the help of intelligent processes and machine learning to generate added value. But many projects fail because companies neglect the strategic relevance of the entire use case or fail to consider it at all. This is where a comprehensive data strategy can help. It enables companies to successfully shape their digital future, make better decisions and optimize processes.
New business projects often start with the words “I’ve got an idea: Why don’t we ...”. An employee or the CEO has developed an idea for a use case or was inspired to do so—be it at a conference, through an article or a conversation with a customer.
In fact, many projects start from such spontaneous ideas. And it is generally also not a bad starting point for gaining first experiences and learning lessons from them. But many ignore the fact that they may have limited or sometimes not the right resources in terms of people, tools, data and time available.
Possible consequences: The implementation fails, comes to nothing or turns into a never-ending story. Once the use case is implemented, it offers little added value and is ineffective. Therefore, it is not put into practice. Accordingly, companies should clarify in advance whether the necessary resources are available and the use case will increase efficiency and be strategically relevant. A few successful examples from various fields of application show how this is done.