The importance and challenges of data governance in integration processes
According to Gartner, by 2026, over 80% of organizations without comprehensive data governance strategies will face regulatory non-compliance penalties or lose competitive advantages due to poor data quality. Enterprise data management (EDM) and data governance form the foundation for digitalization, ensuring data accuracy, compliance with standards (GDPR, HIPAA, SOX), and information security.
System integration without proper data quality control can lead to the consolidation of inconsistent information. Key implementation challenges include the complexity of combining disparate systems (legacy and cloud solutions), fragmented data sources, and a lack of unified standards within organizations.
Impact on the industry
For modern enterprises, failing to establish robust data governance during system integration leads to direct financial and operational risks. Organizations face severe regulatory penalties under GDPR, HIPAA, or SOX, alongside a loss of competitive edge due to corrupted analytics and fragmented, inconsistent data across legacy and cloud systems.
Practical solutions from Ukrainian developers
Association members offer comprehensive tools to overcome these challenges:
- Data Management IG specializes in integrating enterprise landscapes, implementing MDM, and developing data management strategies.
- Softline builds integrated systems based on the UnityBase platform and provides cybersecurity for solutions, particularly for the public sector.
- IQusion adapts data governance approaches to the strict requirements of the public sector, ensuring security and regulatory compliance.
- The joint integration of the Megapolis.DocNet system (developed by InBase) with customers' accounting systems enables the automation of end-to-end document management.
Prepared by a Software Ukraine member. Original publication.