Many companies collect vast amounts of data – yet only few succeed in turning them into real business value. This is what Philipp Hoppe, Associate Partner at Porsche Consulting, explains in an interview with Transform, the flagship event of Bitkom (Germany’s digital industry association). The reason: In many organizations, data is still treated as a byproduct rather than a strategic resource that needs to be actively shaped and used.
Data-driven companies operate fundamentally differently. They establish clear structures, define a common data language, and ensure that information can be used across organizational boundaries. Only then can artificial intelligence unfold its full impact: from analysis to continuous improvement. “Leaders are not the companies with the biggest data containers, but those that use data the right way,” Hoppe emphasizes.
So why do so many organizations still struggle? “The causes lie in fragmented data landscapes, unclear responsibilities, and a lack of data culture,” says Hoppe. The result: numerous AI use cases, but limited economic impact. The key lies in a holistic approach that improves data quality, clarifies ownership, and fosters a culture in which knowledge is actively shared. Only then can data become a true value driver for companies.
Read the full interview on Transform (German only).