Data Governance implementation - The Easi Data Excellence Approach
Data Quality
Accuracy and Consistency:
Ensures data is correct, error-free, and uniform across systems, preventing discrepancies.
Validation and Cleansing:
Regular checks and data lineage tracking maintain transparency and reliability.
Data Security
Access Control and Protection: Regulates who can access and modify data, protecting sensitive information.
Risk Mitigation & Compliance: Ensures adherence to relevant standards and laws, minimizing the risk of data breaches and errors.
Data Consistency
Uniform Definitions:
Establishes consistent definitions for key metrics and data elements across the organization.
Master Data Management:
Provides a single, consistent source of truth for critical data entities, reducing redundancy.
Trustworthy Data
Confidence in Reporting: Stakeholders have more trust in reports and insights, leading to better decisions.
Timeliness of Data:
Ensures that up-to-date data is available when needed for timely decision-making.
Efficient Data
Reduced Redundancy:
Avoid duplication of data efforts and resources, leading to cost savings.
Streamlined Processes:
Clear governance policies enhance efficiency in data management.
Data Ownership
Ownership and Accountability:
Defines roles and responsibilities for data management, ensuring accountability.
Ongoing Enhancement:
Encourages continuous assessment and improvement of data governance practices.
Adoption & Change Management
90% of companies sit on a goldmine of data that they hardly use or don't use at all. We help companies become data-driven. In doing so, change management is more important than technology. Technology is almost secondary. Many companies have the initial reflex to invest heavily in a large data platform. However, in practice, such a platform offers little more than a foundation. After this challenging exercise—which often consumes a lot of time and budget—the real work still needs to start. That's why at Easi, we approach data projects differently: we prioritize change management and are technology-agnostic.
The Data Maturity Circle helps guide your data strategy
Based on global market trends, we define 4 interlinked domains that shape your Data Maturity, with Data Excellence at the center of your data strategy.
Our Data Excellence & Strategy Solutions
Business Intelligence
Gut feeling cannot predict the future, data can. With Business Intelligence solutions from Microsoft PowerBI and Qlik, Easi provides in-depth expertise and a customized approach.
Data Lakehouse
The first step toward leveraging the power of a data lakehouse is to collect and store data from all sources in any form, and then transform it for advanced analytics. Discover how our experts can guide you through implementing a data lakehouse and AI solutions.
Artificial intelligence
Data maturity took on an added layer in recent years with the rise of AI. A lot of companies are not ready to unleash AI on their data due to all kinds of reasons (cybersecurity, data structuring, etc.). Find out if you are ready, or how you can get ready.
Enterprise Performance Management (EPM)
Align vision, data and people by creating one single source of truth that shuts down isolated reports. Reach short-term and long-term strategy with a top-down approach that offers company-wide inclusion, data transparency and data ownership.