Is your data warehouse due for a tune-up—or a complete rebuild?
Like an aging car, a data warehouse can develop problems that expensive new technology alone won’t fix. This article explores “second surgery”—restoring trust in existing data warehouse investments through better data quality, sound design, and effective governance.
Sometimes the smartest solution is to repair and realign what you already have.
Why reinvent the wheel when proven data foundations already exist?
This article explores how organizations can reduce the cost, risk, and time of data initiatives by building on proven data models, governance metadata, business glossaries, and reconciliation controls.
Rather than repeatedly starting from scratch, the goal is to reuse what works, adapt it to the organization, and accelerate the path to trusted, controlled data.
How much valuable time is lost simply proving that your data is correct?
This article explores how an integrated Reconciliation Control Framework® can replace repetitive manual validation with automated, continuous controls across systems, data warehouses, spreadsheets, and the General Ledger.
By connecting reconciliation results with the right governance stakeholders, organizations can turn data validation into actionable evidence—reducing waste, strengthening controls, and increasing trust in data.
Who is truly accountable for your data?
This article explores why effective Information Governance requires clear distinctions among Data Owners, Stewards, Consumers, and Custodians.
By eliminating ambiguous ownership and maintaining these relationships as governance metadata, organizations can answer the fundamental question: “Who uses what data, and from where?”—strengthening accountability, communication, data quality, and risk management.
How do you govern tens of thousands of data elements without creating more complexity?
This article explores why effective Information Governance starts with a practical classification structure—organizing data into manageable subject areas while maintaining traceability to the underlying data.
The key is governance metadata that connects business meaning to physical data assets, making ownership, accountability, and continuous governance both scalable and sustainable.
What connects business, technology, data, security, and governance across the enterprise?
This article explores Information Governance Architecture as a framework that spans every layer of the enterprise. At its core is metadata—the “glue” that connects business rules, technology, data, and organizational objectives.
By governing these relationships as a whole, organizations can move beyond isolated governance initiatives toward a truly connected enterprise architecture.
How do organizations turn information into a trusted business asset?
This article explores Information Governance as the bridge between business needs and the management of data quality, risk, compliance, and accountability.
Success requires more than policies—it demands executive sponsorship, clear stewardship, integrated controls, and continuous improvement connecting the boardroom to daily operations.
What if Information Governance became a competitive advantage—not just a compliance function?
This article explores how business-driven, technology-enabled Information Governance can elevate information from an operational asset to a strategic one.
With the right approach, governance moves from the back office to the boardroom—helping organizations reduce risk, create value, and compete more effectively in the information age.
