How we build one trusted record
What we actually fix
What clients ask before they engage
Often paired with Master Data Management
Ready to agree on who your customer is?
Start here when
Consider another path when
The person who owns this is not always the person who signs.
Ownership and stewardship, so the record stays clean after we leave
We match and merge records for the same real-world entity across your systems using rules you can inspect and tune, not a black box, so a steward can see why two records were joined and override it when they shouldn't have been.
We decide, field by field, which source wins when systems disagree, so the trusted record is defensible. When Finance and CRM hold different addresses, the rule for which one survives is written down, not improvised.
We stand up the ownership, workflows, and operating model that keep master data clean after the project. A golden record with no steward is just a snapshot that starts decaying the day it's built.
We model the customer, product, and supplier domains for the whole business and its AI, not for a single application, so the same entity means the same thing in the warehouse, the CRM, and every model downstream.
Sales, Finance, and Support each hold a different record for the same account. The counts never reconcile, and every cross-system report starts with an argument about whose number is right.
Near-duplicate records quietly double-count customers and orders. Revenue, churn, and lifetime-value math all inherit the inflation, and the AI trained on it learns the wrong pattern.
A one-time cleanup produces a clean file that starts decaying immediately, because there's no steward and no workflow to keep new records from re-fragmenting the moment a project ends.
MDM is the work of creating one trusted, governed record for the core entities a business runs on, customers, products, suppliers, so every system and report agrees on who and what they are. It combines identity resolution across systems, rules for which source wins, and the stewardship that keeps the records clean over time.
A CDP or Customer 360 resolves the customer specifically, usually to power marketing and activation. MDM is broader: it governs all your master domains, customer, product, supplier, and focuses on one authoritative record with stewardship and survivorship rules. If your problem is only the customer and activation, a Customer 360 may be the right, lighter fit, and we'll tell you so.
Not always. Some organizations are well served by MDM capabilities already in their warehouse or existing tools; others need a dedicated platform. We design the matching, survivorship, and stewardship first, then recommend the lightest tooling that supports it, rather than starting from a license.
With explicit survivorship rules, set field by field and agreed with the business. The most recently updated source might win for contact details while the system of record wins for legal name. The rules are documented and visible, so the golden record can be defended and a steward can adjust it.
Models and reports are only as good as the entities behind them. When a customer appears as three records, churn and lifetime-value models learn from a customer they can't identify, and dashboards double-count. Resolving master data is often the highest-leverage fix for both analytics accuracy and AI readiness.
A scoped engagement on a single domain, resolving customer identity, setting survivorship, and standing up stewardship, typically runs 8 to 14 weeks. Multi-domain programs take longer, but we start with the domain whose fragmentation costs you the most today.
There's no flat rate. These are the factors that move the effort and the price.
Customer only is one job; customer, product, and supplier together is a program.
Each system that holds the entity adds matching, mapping, and reconciliation work.
Heavy duplication and poor data quality on arrival add cleanup before matching can work.
Standing up ongoing ownership and workflows is more than a one-time resolution.
The same customer, product, or supplier reads differently in every system.
Duplicates are inflating your reports and confusing your models.
You only need the customer resolved for activation: see Data 360 Consultant.
The problem is metric definitions, not entities: see Data Governance.
You need the whole modeled foundation first: see Data Foundation.
Master data management is core data and analytics work, not a side project. One trusted definition of a customer, a product, or a location is what lets your dashboards agree, your books close, and your AI reason on something solid. Thinklytics is a data and analytics firm first, and this is where much of that foundation starts.
Master data, your customers, products, and suppliers, lives in a different shape in every system, so the counts never match and the AI models inherit the confusion. We resolve identity across systems and put stewardship behind it, so there's one trusted record of each thing that matters, and it stays that way.
Master data management (MDM) is the work of creating one trusted, governed record for the core entities a business runs on, customers, products, suppliers, so every system and report agrees on who and what they are. Thinklytics resolves identity across your systems, sets the matching and survivorship rules, and stands up the stewardship that keeps the records clean over time.
The customer-specific version: a unified customer profile for activation, identity-first across CDPs and warehouses.
Definitions, ownership, access, and a clear trail back to the source. Governance for the metrics that sit on top of the entities.
The modeled, governed data layer the master records feed, so every downstream report means something.
Start with an audit. We review your systems, your duplication, and your ownership, then give you a scoped MDM plan before any work begins.
The people who normally own this problem are CFO, Analytics director, CDO. They are the ones who start the search, and they are not always the person who signs for the work.
A buyer usually describes the situation this way: Two teams report the same metric and get different answers, and no report settles it.
The spend is normally gated by the CFO or executive sponsor, whose question is: Is the improvement worth the investment? What that person needs to approve it is a business case with stated assumptions and measurable outcomes.