PROFOUND EXPERTISE IN THE HIGH-END SECTOR
Modern data-management
The central challenge of data management is making data usable. Everyone in the company must have easy access to data despite numerous requirements.
Many companies are currently facing the challenge that their tried and tested data warehouse is no longer sufficient to meet the constantly increasing requirements and their complexity. Often, data lakes have already emerged organically, which store large amounts of data at low cost, but which enjoy little trust within the company and are very difficult to operationalize. As a direct consequence of this, the data situation is deteriorating noticeably and presents decision-makers with difficult challenges. The classic centralized approach no longer works and modern concepts such as data fabric or data mesh need to be established.
Increasing problems and the high potential that arises at the same time are forcing companies to think in new directions. Possible large-scale projects and extensive investment sums with high entrepreneurial risks are being discussed. At the same time, few successful projects with serious substance can currently be found on the market. The situation is made even more difficult by the sales force of large consulting firms, which are beckoning with big promises. However, the challenges cannot be met with the introduction of products, but with change management, process change, know-how development and cultural change. Before I discuss modern solutions in the next article, I would like to present the problems of traditional data solutions. This will help to clarify the specific problems that are addressed by alternative approaches.
Data democratisation and federal approaches
Modern data-driven organisations don't have time to wait for data. They need it in real-time and democratised so that everyone in the company who can make use of it has the opportunity to do so. In recent years, data decentralization has become a response to sluggish data management. Companies have had to rethink how every part of the organisation works in order to move faster. Decentralisation distributes responsibility back to the business units and gives them access to data. To ensure that a federated approach does not descend into chaos without control, a federated set of rules and processes is needed - there are procedures and frameworks for this.
