{{ quoteLabel }}“The technology is ready. The data is slowing everything down.”
Accelerate platform modernization, migrations, consolidations, M&A, replatforming, and major transformations by automating profiling, mapping, cleansing, reconciliation, and preparation.
Pick a problem to read more.
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Reads the source data as it sits today, and both sides of a migration or merger: structures, attributes, relationships, rules, the target model, and the dependencies and overlaps between them.
Proposes the mappings, transformations, reconciliations, and improvements the target needs, each with its evidence and confidence, and flags conflicts and what will not move cleanly.
Turns the work into a governed, reviewable workflow and prepares governed data for cutover, then keeps improving it after go-live. People approve the exceptions and every consequential change, and approved decisions are reused on the next similar case.
And it learns from every decision, so the next similar case needs less human work.
The reasoning behind every decision sits in the brain rather than inside one platform, so it carries forward when a PIM, MDM, or model changes. The model is replaceable. The accumulated understanding of the enterprise isn't.
Before you build the mappings by hand, let the brain look at both sides.
You sendRepresentative samples from your source systems and your target model.
What the brain understands about both estates before you build the integration by hand.
You sendSamples from both companies: products, customers, or suppliers.
See what the brain can take off the implementation before it starts.
You sendA representative sample of source data, exactly as it sits today.
A few examples of what companies might use Cogentric Enterprise Digital Brain for here. They are possibilities, not a closed list or the core offering, and each is offered as a challenge or a pilot on your own data.
Determines which product and party data, relationships, rules, and dependencies must move, change, or retire when a platform moves from on-premises to cloud or back, and flags the risks before cutover.
Offered as a challenge or pilotIdentifies what a PIM, MDM, ERP, or commerce platform upgrade changes in schema, attributes, rules, and integrations, and carries the data forward so the upgrade does not stall on data.
Offered as a challenge or pilotReveals overlapping customers, suppliers, accounts, and ownership structures after an acquisition.
Offered as a challenge or pilotIdentifies products nearing obsolescence and recommends replacements or migration paths.
A likelihood with evidence and confidence. People decide.
Offered as a challenge or pilotEstablishes who the party actually is across systems.
Offered as a challenge or pilotStart the data work before cutover, not after. Enterprise Digital Brain is designed to understand, improve, and map product and party data ahead of the migration and keep improving it after, so the new platform starts with data it can use. 46% of surveyed companies already live on their new ERP platform found the migration more time-consuming and resource-intensive than anticipated (ERP user-group survey, Jul 2024).
Turn mapping, transformation, and reconciliation into a governed, reviewable workflow instead of spreadsheets. The brain proposes each mapping with its evidence and confidence, people approve the exceptions, and approved decisions are reused on the next similar case. Months → weeks of implementation data work on a mid-size product estate (Enterprise Digital Brain benchmark; not a customer result).
The understanding stays with you. Enterprise decision memory, the reasoning behind every decision, sits in the brain rather than inside one platform, so it carries forward when a PIM, MDM, or model changes. The model is replaceable. The accumulated understanding of the enterprise isn't.
Not only records: the relationships, rules, and dependencies around them. Cloud migration intelligence, an example solution, determines which product and party data, relationships, rules, and dependencies must move, change, or retire, and flags the risks before cutover. It is offered as a Migration intelligence challenge.
An upgrade can change schema, attributes, rules, and integrations. Platform upgrade intelligence, an example solution, identifies those changes and carries the data forward so the upgrade does not stall on data. It is offered as a challenge on your own upgrade scope.
The data work is often the schedule. More than a quarter of organizations report their ERP project over budget, and almost a quarter over schedule (Panorama Consulting Group, 2026). Treating data readiness as a governed workflow that starts before cutover takes it off the critical path.
Start with who the customers and suppliers really are across both companies. M&A relationship discovery, an example solution, reveals overlapping customers, suppliers, and relationships so integration decisions are made on evidence. Only 32% of CIOs say they are significantly meeting deal objectives (EY, Aug 2024).
Bring samples from both sides of the migration or merger. We will show what maps, what conflicts, and what will not move cleanly.