Data is one of your most valuable assets, but pulling value from it without creating risk takes more than good intentions. Data governance puts policies, procedures, and clear accountability around how data is classified, secured, retained, and accessed across the company. We help you design and roll out a governance program that supports data-driven decisions and meets your legal and regulatory obligations, drawing on a background in the systems where this data actually lives.
Designing the Governance Framework
Good governance starts with a clear framework: who decides, who is accountable, and how decisions get made. We help you set up the right governance bodies, define roles and responsibilities for data management, write policies that establish real standards, build processes that put those policies into practice, and track metrics that show whether governance is working. We size all of it to your organization. Heavy-handed governance smothers the business, while thin governance leaves you exposed, and the right framework sits in between.
Classifying Data by Sensitivity
Not every dataset deserves the same lockdown. A classification scheme lets you match protection to the data, sorting by sensitivity and confidentiality, regulatory obligations, business criticality, and retention needs. Classification then drives the practical controls: access restrictions, encryption, retention periods, and disposal. We help you write classification standards that are clear enough to apply consistently, so sensitive data gets real protection and low-risk data stays usable instead of getting locked behind rules it never needed.
Quality, Metadata, and Access
Bad data leads to bad decisions and compliance trouble, so we help you set quality standards around accuracy, completeness, consistency, and timeliness, and put controls in place to keep quality from slipping. Strong metadata, including business glossaries, data dictionaries, lineage, and catalogs, makes data discoverable and supports inventory obligations. On access, we help you implement role-based controls, request and approval workflows, periodic recertification, and logging, balancing security against the genuine business need for people to get at the data they use.
Retention and Defensible Disposal
Holding data longer than you need adds risk without adding value. We help you build retention schedules grounded in legal, regulatory, and business requirements, wire retention controls into your systems and processes, run disposal when retention periods expire, and document what you destroyed and when. We also help you manage legal holds that pause normal retention. Defensible retention cuts storage cost, shrinks your breach footprint, and shows regulators you take data minimization seriously rather than keeping everything forever by default.
Tying Governance to Compliance
Governance and regulatory compliance are two sides of the same work. A solid governance program already delivers much of what privacy law demands: data inventories and mapping, consent management, rights fulfillment, and cross-border transfer controls. Industry rules like HIPAA, SOX, and GLBA layer on their own data management duties. We help you fold those requirements into the governance framework, and pick technology like catalogs, quality monitoring, and access tooling that supports the program, so compliance becomes ongoing practice rather than a series of one-off projects.