Data, Analytics, and Data Sciences, unlike any time prior, and unlike any other organizational asset, has quickly become one of the most valuable assets for competitive organizations.  With AI and Data Sciences becoming more commonplace, and much simpler to implement, the need for clean and useful data continues to grow. 

At Stephens Insight Group, we believe that organizations should treat their data as an asset that everyone cultivates.  We will help you develop an Information Domain Management program, and then begin to build out appropriate data governance as each domain requires.  Each domain is different, and savvy Data Governance Practitioners will focus their efforts consistently across domains, yet specific to each. 

In other words, domains that suffer from poor data quality should have the same Data Quality framework applied consistently across different families of information.  Domains that lack organizational awareness or have inconsistent language may need to implement metadata management best practices.  But not every domain needs a full Data Quality Framework, and not every domain needs an enterprise-wide business glossary.  

We'll help you invest your time and resources with a use-case based approach, where you'll get the most value.  Then we'll help you find ways to showcase that value to build momentum for future Data Governance initiatives.

Defining Data & Analytics Governance

Data governance, at its core, enables organizations to benefit more from their data.  What software vendors and practitioners have turned that core value into, is a series products, tools, methodologies, and terminology that tends to vary less and less as time goes on.  According to current literature and modern trends, it's most closely associated with Data Quality Management and Metadata Management, but it in fact is much broader.  Data Governance encompasses all things related to the organization's cultural approach to data, along with roles and processes, councils, and structures intended to derive increased value from data.

Analytics Governance is the process organizations use to govern priorities for use-cases, and to set the standard for both the creation and consumption of analytics capabilities across the organization.  As organizations decentralize their data and analytics capabilities, the need to govern for consistency, efficiency, and quality becomes more and more critical.

Data & Analytics Governance Services

• Data Governance Strategy - Design and Implementation
• Analytics Governance Strategy - Design and Implementation
• Metadata Management - Best-Practices, Approach
• Master Data Management - Communication, Organizational Success, Strategy
• Data Quality Management - Visualizing, Communicating, Strategy
• Data Governance Structural Design
• Analytics Standards Development
• Roadmap & Roll-out
• Value Steam Analysis
• Domain-based Governance
• Key Leadership Role Development

Advanced Specialties

• Healthcare System
• Healthcare Payer
• Master Data Management/Reference Data Management
• Communicating Value
• Alignment to Operations