Information governance and master data management initiatives are complex and require participation from a broad range of enterprise constituents.
- Most organizations use data to drive efficiencies and improve their operations across multiple divisions. This means they must collect and connect structured and unstructured data.
- Demand is growing for assessment and integration of internal and external big data sources with structured master data in multiple domains. This is the case particularly in industries that are heavily regulated or rich in intellectual property.
- Effective information governance and master data management (MDM) programs unlock the value of information in silos.
Here are some 2015 (c) Gartner recommendations for information managers involved in information governance and MDM programs, such as data stewards, storage management leaders, chief technology officers and chief data officers (CDOs):
- Support your data ecosystem for improved context management with agile data-as-a-service
platforms. - Use emerging vendors that specialize in information governance in a big data environment.
- Adopt innovative solutions for socializing and enriching your approach to information governance and MDM by focusing beyond the organization and its known customers and partners.
Your DATA Governance and Master Data managements system should integrate reliable and consolidated golden data for both simple and complex master data management projects, using an iterative approach that enables a data governance strategy to grow incrementally over time.
For Business Users
Business user should have access to master data they can trust to:
- Drive better business decisions using accurate, consolidated and trusted data. Business analysts are empowered with an accurate and comprehensive view of the company and can take precise and confident decisions.
- Discover new business opportunities – cross-sell and up-sell – to increase revenue and improve customer satisfaction and retention using a single 360° view of the customers and products.
- Acquire better knowledge and control of critical data: A shared understanding of master data concepts together with global access to consolidated master data supports better operational efficiency and a faster adaptability to environmental challenges.
- Reduce the cost of Mergers & Acquisitions. Merged companies automatically provide their data as new trusted assets on which the enterprise will apply the appropriate governance processes. This translates into an immediate return on investment on the IT costs for integrating the new business critical data.
- Increase transparency and traceability of the data for regulatory compliance: By having a centralized platform for managing data governance, the enterprise ensures total control, traceability and history of the data involved in critical processes. Your Master Data Management system should reduces the risks and cost by providing accurate audit trails and version control.
For IT Management
Your Master Data management platform should :
- Drive MDM and data governance projects on the path to success on time and budget.
- Have a tactical MDM solution to today’s MDM problems while laying the foundations for tomorrow’s multi-domain strategic MDM needs.
- Facilitate adoption of MDM initiatives through an non-intrusive solution that does not affect existing systems or processes and entirely avoid a disruptive MDM Big-Bang in the enterprise.
- Enable shorter project lifecycles using a fast and safe incremental approach that supports the three dimensions of MDM lifecycle evolution.
- Easily adapt the MDM implementation to business users’ needs and data governance requirements.
- Support current and future scalability and performance requirements with no added complexity.
- Deliver projects that meet your company’s quality standards on time and budget and increase your organization’s capability to react to changing data requirements.
- Provide the Right Data at the Right Time to the Business. The IT team should deliver data where and when it is expected by the Business.
- Support Future Scalability and Performance Needs. The ELT architecture is the cornerstone that safeguards your data integration investments. Mission-critical integration initiatives running on top of your MDM should run with the best performances today, and support out of the box the future growth of your data volumes.
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