Overview

Data Strategy & Governance is the foundational work of defining how your organization collects, names, stores, and maintains data across systems and teams. Without it, analytics and reporting built on top of that data are unreliable at best and misleading at worst. We work with your team to audit what you have, identify the gaps, and put practical rules in place that people will actually follow.

What We Do

Audit existing data sources, fields, and naming conventions across systems
Define and document a standardized naming convention and data dictionary
Establish data quality rules, validation logic, and acceptable value ranges
Map data ownership and stewardship responsibilities by domain or team
Identify and resolve duplicate, conflicting, or orphaned data records
Deliver a governance framework document with policies, processes, and maintenance guidelines

What to Expect

Engagements typically run four to eight weeks depending on the number of systems involved and the current state of your data. We work closely with whoever owns your data day-to-day — whether that's an analyst, an ops lead, or an IT team — so the standards we define are grounded in how your business actually operates. You should expect collaborative working sessions, not just a delivered document.

Client Benefits

Consistent, trustworthy data that teams across the organization can rely on
Faster report and dashboard development with less time spent cleaning inputs
Reduced errors and rework caused by mismatched field names or undefined values
Clear accountability for data quality with defined owners per domain
A documented foundation that scales as your data infrastructure grows

When to Choose This Service

This service is the right fit when your team regularly debates which number is correct, when reports built by different people produce different results, or when you're preparing to invest in analytics or a new data platform and need a clean foundation first.