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Business Glossary – Sooner Rather than Later
If you are undertaking any significant data initiatives, such as MDM, Enterprise Data Warehousing, CRM, integration/migrations due to mergers or acquisitions, etc., where you have to work across...
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Big Data Security
In the Big Data Stack below, security is a vertical activity touching upon all aspects of a Big Data architecture which must receive careful attention, especially in a healthcare environment when PHI...
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Healthcare Data Modeling Governance
I participated in a webinar/panel discussion last week hosted by Dataversity on Data Modeling Governance, which was well attended and lively. The focus was on governance of Data Models and the Data...
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Big Data as an Archival Platform
Operational systems frequently have to have data archived (i.e., backed up and purged from the database) in order to maintain performance SLA’s. Historical data is frequently maintained for a much...
View ArticleKey insights on source data for healthcare analytics & exchanges
Providers and payers need to exchange or source a lot of data, and the rate of this activity will only increase with implementation of Obamacare and other directives. Given the poor state of metadata...
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The Conceptual Data Model – Key to Integration
The importance of data integration, whether for analytics, mergers/acquisitions, outsourcing arrangements, third party interfaces, etc., is easy to understand but extremely difficult to realize. The...
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A Low Cost Big Data Integration Option?
With all of the interest in big data in healthcare, it’s easy to get drawn in by the excitement and not realize that it’s not a silver bullet that’s going to address all your data and infrastructure...
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Disruption caused by Data Governance?
Instituting Data Governance is a major initiative providing a significant opportunity to leverage enterprise data assets more effectively. As such, there is sometimes concern about being seen as a...
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A Wish List for Data Modeling Technology
I was recently a panelist for a Dataversity webinar/discussion focused on the future of data modeling tools, functionality, and practice. Given the holiday season, the panelists discussed their wish...
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Database inferencing to get to trusted healthcare data
A health insurance client of mine recently embarked on an initiative to truly have “trusted data” in its Enterprise Data Warehouse so that business leaders could make decisions based on accurate data....
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