Do you get significant business value from Data?  Is your Enterprise Data well managed?

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Data creates a sharp divide — some organizations extract significant value from it, while others struggle with accessibility, quality, compliance, privacy, and security.

Deriving value from data means knowing which business challenges you are trying to solve — opening new channels, reducing fraud, improving product quality, reducing waste — and then understanding how data will help you solve them.

As for managing data well, it means knowing the answers to these questions:

  • Where is the data located?
  • Can I access it easily? / Can I protect it?
  • Are only the right persons allowed to access it? / Who is responsible for it?
  • Can I trust it? / Which version is the truth? / Is it consistent with other sources?
  • Can I explain the provenance of data?
  • Do we keep data long enough according to regulations?
  • Do we discard data according to regulations?
  • Can we handle the volume? / Can we handle the speed?
  • Do we have the right skills to manage the data lifecycle?
  • Do we know which data is consumed by processes and/or applications?
  • Do we have a corporate glossary?
  • Do we know the business rules associated with the data?

Enterprise Data Governance & Management (EDGM) Consulting

Our expertise covers entire spectrum of EDGM: AI, BI, Data Governance / Quality / Lineage, MDM, Big Data & Analytics, Data Architecture / Security / Privacy, Metadata and Operational DB.

Data is fragmented in organizations and integrating it is harder than most people think. Here are some of the practices, architecture, processes and tools you should consider deploying to take care of this critical asset:

  • Data Architecture & Governance (including SIPOC and CRUD matrices)
  • Master Data Management (MDM)
  • Data Quality with stewardship/ownership/custodianship
  • Business Glossary
  • Data Dictionary (including mapping)
  • Service Based Architecture
  • Metadata Management & Data Lineage
  • Governed Lakehouse
  • Data Privacy
  • Retention and Archiving (ILCM)
  • BI and Advanced Analytics
  • Security including Risk and Threat Analysis
  • Security in the cloud
  • Data Policies

Data manifests itself in many ways across the organization. We have contributed to the design of enterprise-wide data models for multiple organizations — extending them with user-defined functions in data modeling tools (ErWin, PowerDesigner, and more) to integrate governance elements such as ownership, custodianship, stewardship, and retention policies. We applied Six Sigma SIPOC to associate data to business processes and built CRUD matrices using Information Engineering principles. We have been involved in MDM projects and implemented operational processes to handle data quality.

We reused the ITA&S-F metamodel to capture all these relationships in some projects, and helped other organizations build their own metamodels supporting their EA frameworks for the same purpose.

Tooling has matured significantly — platforms like Purview, Collibra, AtScale, Denodo, and Informatica Cloud Data Governance and Catalog now support these relationships natively, from semantic layers to data fabrics, whether on a Data Lake or in a Data Fabric context. However, they all share a fundamental flaw: they start from physical data assets and work upward toward business concepts — with business concept catalogs that are generally weak, having never been designed from a clean CEDM perspective. This forces Data Governance actors into redundant and fragmented efforts. This is precisely why we built our own Data Governance Platform — to address this weakness at its root.

Our team includes practitioners who have worked in highly regulated environments where data privacy and security were non-negotiable, developing deep expertise across both disciplines. And as this page makes clear, we bring extensive experience in Data and Analytics. In short, EDGM requires multiple areas of expertise that can only be acquired through many years of hands-on engagement with data from every angle.

Finally, we also offer Fractional CDO Services — to establish the Chief Data Officer function, fill a departure, or help bring a new executive up to speed in this critical role.