A New White Paper from Eagle
Today’s financial services organizations are tackling data management issues that expand well beyond reference data management. While reference data is typically the first subject area that is pursued, it is only one small aspect of a comprehensive enterprise data management solution, where there are other well-defined subject areas that must be addressed. Understanding the various activities within a data management solution, from integration, to quality, enrichment, warehousing and ultimately business intelligence, is critical to being able to establish a clear vision and prioritize goals.
Organizations that view their business data as a strategic asset will be most successful in the long run. This appreciation provides the impetus to establish a data management program and provide the fortitude to tackle the technical and organizational challenges that arise. A data management program can deliver immediate cost savings through the optimization of data use within the enterprise by reducing the duplication of data licenses, streamlining data acquisition, and minimizing data storage. Ensuring the data is available and secure will instill confidence. Providing transparency throughout all operational flows and having business data defined, ownership understood, usage made consistent, and auditing controls and processes in place will create a smoother transition throughout the duration of the project. And finally, establishing a strategy to measure data quality on an ongoing basis will aid the organization in achieving a successful data management program.
Marc J. Firenze, Eagle’s chief technology officer collaborated with Jeff Shortis, Pioneer’s Chief Data Architect to dissect the enterprise data management challenge into a simple framework that helps readers compartmentalize data management issues into a series of unique solutions, rather than one big solution. In this white paper, they illustrate how the relationships of each individual solution can help resolve an organization’s overarching data management problems.
Download the white paper here.
