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Posts Tagged ‘Enterprise Data Model’

Establishing Authoritative Sources in Data Governance

Establishing an authoritative sources capability confirms the enterprise approved source for data ownership, including both origination and distribution. Before a financial institution can agree on authorized sources of data, there must first be a common understanding of the type of data being sourced. Data will need to be classified in an agreed-upon enterprise data model. […]

Responsibility of Data Architecture in Data Governance

The data architecture capability will supply the components and standards necessary to implement other capabilities coherently and enable them to work together. A primary responsibility of data architecture is to define and have an accepted enterprise-wide set of models, standards, glossaries and hierarchies which allow a standard description of data across business lines, products and […]

Pre-Packaged Analytics Applications Measure What Matters

My years of working with transactional systems helps me really appreciate the age old question of “how to get data out?” My curiosity about using data to gain actionable business insights started with the first computer program I ever developed. It was a natural progression of my problem-solving skills. I was involved with building transformational […]

Webinar: Healthcare Enterprise Data Model: Buy vs Build Debate

The healthcare industry is undergoing an extensive transformation and the changes are putting pressures and demands on organization leaders. Healthcare executives are searching for ways to improve measurable outcomes not only because of the impact they have on the financial health of their organization, but because it is the right thing to do. Organizations are […]

Webinar: Healthcare Enterprise Data Model: Buy vs. Build Debate

Transformation is sweeping across healthcare in the United States at a rapid rate. Healthcare organizations, regardless of size, need to embrace new technologies in order to keep up with the quickly changing landscape and comply with evolving regulatory requirements. The solutions to these challenges have one thing in common, the need for accurate information. In […]