Key Challenges Affecting Business Performance
Many organizations struggle with inconsistent, duplicated or unreliable data spread across multiple systems. Data is often maintained in silos, with overlaps, gaps or conflicting definitions, while ownership and accountability remain unclear. As a result, business teams spend too much time validating information, reconciling discrepancies and correcting avoidable errors instead of focusing on value-adding activities. Gartner identifies inconsistency across sources and lack of ownership as common barriers to improving data quality.
Implementation of Data Governance Frameworks
We design and implement Data Governance frameworks tailored to each organization’s context and business strategy. This includes defining principles, policies, roles, and decision structures that ensure data consistency, accountability, and long-term sustainability across the enterprise.
MDG implementation & operations
We support the implementation and ongoing operation of Master Data Governance (MDG) solutions, ensuring that master data is created, validated, and maintained in a controlled and standardized way. Our approach ensures seamless integration with existing systems and stable day-to-day operations that support data quality and compliance.
Data Quality Management & KPI dashboards
We establish data quality management processes and metrics that enable continuous monitoring and improvement. By defining business-relevant rules and KPIs and delivering clear dashboards, we help organizations gain transparency into data quality issues and make informed, data-driven decisions.
Role Models (Data Owner, Data Steward) & Governance Processes
We define and operationalize data governance role models, such as Data Owners and Data Stewards, to ensure clear accountability for data across the organization. In parallel, we design governance processes that support effective decision-making, issue resolution, and collaboration between business and IT teams.
Master Data Harmonization & Migration
We support master data harmonization and migration initiatives to ensure consistency across systems, business units, and geographies. Whether following system changes, mergers, or acquisitions, we help clean, standardize, and migrate master data while minimizing business risk and operational disruption.
Business Impact
Costs
Poor data quality creates hidden costs across the organization. It increases manual effort, slows reporting and decision-making, reduces operational efficiency and can expose the business to regulatory and compliance risk. As data volumes grow, these issues scale across processes and functions, making it harder to operate efficiently and confidently. Gartner states that data quality is crucial because it supports accurate, reliable and timely information, which in turn supports informed decision-making and enhances operational efficiency.
Proof
Organizations that implement structured data governance and master data management create a stronger foundation for reliable reporting, better decisions and more efficient operations. Gartner notes that poor data quality costs organizations at least $12.9 million per year on average, underlining the financial relevance of strong data governance and data quality practices.
Link: Gartner – Data Quality: Why It Matters and How to Achieve It
https://www.gartner.com/en/data-analytics/topics/data-quality
SimpleMDG
Bernd A. Grimm Consult LDA is Laidon Group’s exclusive partner for SimpleMDG product in Portugal, Spain and Latin America.
SimpleMDG is an innovative creation from the experts at Laidon, SAP® Silver Partner for application development.
The perfect solution to also support the transformation of master data to SAP S4/Hana or ECC backend system, including non-SAP environments.
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