Start: will be conducted with DM Survey 26
Publication: to be announced
Region: Global
Data intelligence is an essential component of successful data strategies. This assumption is widespread, but the reality of implementation paints a different picture. Not only do strategic, cultural and organizational hurdles need to be overcome, but deployment of data intelligence technologies must be aligned with user needs. This involves identifying and implementing the right data intelligence platform, data catalog and data marketplace. However, a large proportion of software selection and implementation projects fail today. The reasons for this range from unrealistic expectations and a lack of structures within the company to a lack of experience, best practices and user acceptance, among other factors.
The study will analyze recommendations for software selection, the added value achieved through the use of data intelligence technologies, but also the reasons for the failure of data intelligence projects. We will also look at which functions deliver added value and which fail to materialize despite initial requirements.
The study provides users with valuable insights and expertise for selecting and implementing software and implementation, and gives providers a deep insight into current requirements for their product management.