How We Work

A straightforward process to identify, control, and correct your critical data

Our Three-Step Process

We don't overcomplicate this. Here's exactly how we help you get data you can trust:

1
IDENTIFY

Identify What Actually Matters

Not all data is equally important. We work with you to pinpoint the Critical Data Elements (CDEs) that actually drive your business decisions and operations.

  • Interview key stakeholders across your organization
  • Map data flows through your critical business processes
  • Identify which data elements are mission-critical
  • Document current data quality issues and their business impact
  • Prioritize where to focus efforts for maximum ROI

What You Get:

  • Clear list of your Critical Data Elements
  • Data quality assessment showing current state
  • Prioritized roadmap for improvement
  • Business case for data quality investment
2
CONTROL

Control Data at the Source

Prevention is better than cure. We implement validation rules and controls that catch errors before they spread through your systems.

  • Define business rules for each Critical Data Element
  • Implement real-time validation in your source systems
  • Set up automated monitoring and alerts
  • Create data stewardship workflows
  • Establish data governance processes that actually work

What You Get:

  • Automated validation rules running in real-time
  • Dashboard showing data quality metrics
  • Alert system for critical issues
  • Clear ownership and accountability
3
CORRECT

Correct Existing Issues

Now we clean up the mess. We fix existing data problems and ensure consistency across all your systems so everyone's looking at the same truth.

  • Remediate existing data quality issues
  • Standardize data across systems
  • Eliminate duplicates and reconcile conflicts
  • Ensure cross-system data consistency
  • Document data lineage and transformations

What You Get:

  • Clean, accurate data in all systems
  • One version of truth across the organization
  • Documented data quality improvements
  • Ongoing monitoring and maintenance plan

Typical Implementation Timeline

Weeks 1-3

Discovery

Identify critical data elements and assess current state

Weeks 4-8

Design

Define rules, build validation logic, set up monitoring

Weeks 9-12

Deploy

Implement controls, clean existing data, train team

Week 13+

Sustain

Monitor, optimize, and expand coverage

Ready to Get Started?

Let's talk about your specific situation and create a plan that works for your business.

Schedule a Conversation