Four in Five Companies Struggle with Data Quality, Hindering Growth
Four out of five companies are dissatisfied with their power bi data quality, with half lacking a suitable data basis. This poor data management leads to crucial decisions being made on incomplete or incorrect power bi data, hindering process optimization and growth.
A reliable data structure is vital for digital control and process optimization. Modern power bi tools can address these issues by collecting, structuring, and analyzing company data to derive targeted control impulses.
In Enomyc's consulting practice, power bi tools have proven successful. One medium-sized industrial company identified price deviations using a power bi tool, increasing their margins by around 250,000 euros. Another company stabilized production processes and reduced waste rates by eight percent through the use of power bi tools. These tools serve as a precise early warning system and a strategic control instrument for SMEs, providing data integration, transparency gain, early trend detection, risk assessment, process control, and potential recognition.
Establishing a solid data basis and integrating power bi tools can strengthen a company's resilience and tap into untapped potential. Despite the success stories, only one out of five companies is satisfied with their power bi data quality, indicating a significant opportunity for improvement in data management practices.
