Data Governance
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ENSURE RELIABLE AND ACCURATE DATA ACROSS YOUR ORGANIZATION


Data is an organization’s most influential and valuable asset, and for that reason, requires effective governance.

Published governance frameworks can be overwhelming, and many organizations want to start small. Our data experts help both data-rich and data-poor organizations by custom designing data management processes, teams, and technology to align with your goals and culture.

This includes effective engagement of data owners and stewards across your organization. Data Governance councils should be established that fit your organizational design.


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Engaging the right team across business and IT enables the successful implementation of metadata management, data catalogs, data lineage and master data solutions.

Being truly data-driven requires effective data governance – across people, processes and technology solutions.

TECHNOLOGIES
  • Alation
  • Reltio
  • Metacenter
  • ER Studio/Team Server
  • Informatica
  • erwin
  • Collibra
  • IBM InfoSphere
  • SAP Information Steward, Data Services, MDG
  • Oracle Enterprise Metadata Management

DATA GOVERNANCE: OUR THINKING




Data Quality in Healthcare

  • Data & Analytics
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  • Healthcare
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  • Interoperability
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By: Mike Brennan, Lead Consultant, Impact Makers  and  Kevin Cox, AWS SSA, CCSK, Lead Consultant, Impact Makers This is the third post in a series about sharing healthcare data according...



APIs for Sharing Healthcare Data

  • Automation
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  • Data & Analytics
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  • Featured
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  • Healthcare
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  • Interoperability
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This is the second post in a series about sharing healthcare data according to new CMS guidelines. The first post covers New Solutions for Sharing Healthcare Data WHY IS THE...



New Solutions for Sharing Healthcare Data

  • Advisory / Strategy
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  • Featured
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  • Healthcare
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  • Interoperability
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Why would providers, payers, and consumers share Healthcare data?  Healthcare as an industry has been slow to implement data sharing across payers, providers and patients.  Impediments to data sharing have traditionally included regulations (i.e. HIPAA) as well as the use of closed system architectures.  However, current industry forces are changing...



Inform Decisions with Master Data Management: A Primer

  • Data & Analytics
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Master data represents some of the most valuable information shared across an organization such as customer, vendor, product, and employee data. It tends to be static and non-transactional in nature, meaning...



How Low Can You Go? Reducing Data Insight Delay

  • Data & Analytics
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Across all industries, the race is on for firms to differentiate with data — through data-driven products; enhanced customer acquisition and experience; reduced risk; or streamlined operations (cost-out). C-suite executives...



Data Storytelling: A Cheat Sheet

  • Advisory / Strategy
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  • Data & Analytics
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Data Storytelling is an essential skill of of any data scientist that makes data come alive. It is a structured method for turning data insights into action through analysis, design,...


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