Executive service questions
This section is written for decision-makers who need to understand the business reason, risk, first step and expected outcome before approving a CRM, data or automation engagement.
Data Governance & MDM should become a priority when the current process is limiting revenue visibility, slowing execution or forcing teams into manual workarounds.
Waiting usually increases hidden cost because poor process and data quality compound across reporting, automation, migration and user adoption.
A strong plan should connect business goals to architecture, process design, data ownership, implementation sequence, QA and adoption.
Approve the work when the business problem is clear, the cost of inaction is visible and the scope can be tied to revenue, efficiency or governance outcomes.
The first 30 days should deliver a decision-ready plan, not vague recommendations.
Prepare enough context to explain the business impact, current technical state and decision process.
Use these answers to decide whether this page matches your current CRM problem. If it does, ask Celumai for a focused audit and implementation plan.
Discuss Data Governance & MDM →Business challenges
01
No single source of truth
Account data lives in CRM, ERP, support desk, and spreadsheets -- all saying different things. Nobody trusts any of them. Reports require manual reconciliation every month.
02
Duplicates accumulate faster than you clean them
Teams deduplicate quarterly. Duplicates return within weeks because the root cause -- no creation rules -- is never fixed. The problem compounds year on year.
03
Nobody owns the data
When everyone owns data, nobody does. Fields go unmaintained. Picklist values multiply without governance. Required fields get bypassed with dummy entries.
04
Compliance risk from dirty data
GDPR and GDPR/CCPA require you to know exactly what personal data you hold, where it came from, and who can access it. Dirty CRM data makes this impossible to demonstrate to a regulator.
What is included
Full assessment of current data quality -- completeness, accuracy, consistency, and duplicate rate across every major CRM object. Benchmarked against industry standards with root cause analysis for every gap.
Deliverables
How it works
Data audit
Assess current quality, completeness, and duplication across all CRM objects. Benchmark against industry standards.
MDM design
Define golden record rules, source system hierarchy, and merge/survive logic for every entity.
Governance framework
Write the ownership matrix, validation rules, stewardship roles, and exception workflows.
Implementation
Deploy validation rules, merge logic, duplicate prevention, and stewardship dashboards in the CRM.
Ongoing stewardship
Monthly data health monitoring and quarterly governance reviews to maintain quality indefinitely.
Success stories
Celumai built a governance framework that reduced our duplicate rate from 34% to under 2% in 90 days. More importantly it has stayed under 2% for 18 months since -- because the prevention rules mean duplicates cannot be created in the first place.
We had 5 source systems all claiming to be the master record. Celumai designed the MDM layer that made Salesforce the undisputed single source of truth. Reports are now trusted across the entire business for the first time.
SaaS & Technology
2.1x increase in qualified demo requests
B2B SaaS Company, Early Growth Stage
SaaS & Technology
9 years of customer history migrated with zero disruption to active renewals
B2B SaaS Company, Mid-Market Segment
Platforms we use for this service
Free resource
Ownership matrix, stewardship RACI, validation rule library, and data quality scorecard template -- ready to customise for your CRM.
From our team
FAQ
Ready to start?
We respond within 1 business day with an honest assessment -- no commitment required.
Client results
