Master data interoperability: how to make ERP, CRM and e-commerce speak the same language

The ERP speaks one language. The CRM speaks another. The e-commerce platform speaks a third. And the customer, the very same customer, becomes three different records, each holding a piece of the truth.

That is a lack of master data interoperability. I have watched this scene repeat since the years when I was implementing SAP at large companies, and it did not go away with the cloud or with AI. It just changed clothes.

What master data interoperability is

Master data interoperability is the ability of a customer, supplier or material record to move between different systems without losing information, without being duplicated and without turning into a different record along the way.

It is not about having a nice ERP or a modern CRM. It is about SAP, Salesforce, the e-commerce platform and the invoicing system agreeing that customer 4521 is the same company, with the same CNPJ (Brazil's company registration number), the same billing address and the same registration status with the Receita Federal (Brazil's federal tax authority).

When that does not happen, each system becomes an island. And each island has its own version of the truth.

How it works in practice

In practice, master data interoperability is solved with three pieces working together: a unique identification key, a set of translation rules between systems and an update flow that tells everyone when the data changes.

The unique key is what lets SAP, the CRM and the sales site recognize the same supplier even when each system uses a different internal code. Without it, the integration turns into a giant Excel "from-to" mapping, updated by hand, that nobody trusts after six months.

The translation rules take care of the rest. A field called "unit of measure" in the ERP may be called "UOM" in the logistics system and "measure" in the online store. If nobody maps this carefully, the system reads "box" as "unit" and the order goes out wrong.

And the update flow is what prevents the worst pain: the customer changes address in the CRM, but billing keeps going to the old address because the ERP was never told. I have seen an invoice issued to an address the company had closed two years earlier.

The technical architecture behind this usually relies on real-time APIs for what cannot wait, such as approving a new supplier, and on batch processes for larger loads, such as the nightly sync of the product catalog. The MDM platform works as the central point that receives, validates, enriches and distributes that master data to all consuming systems, instead of each system trying to talk directly to every other one.

Who is responsible for data interoperability

IT and data architecture handle the technical side: integration design, protocol choice, flow monitoring. But responsibility does not stop there.

The data steward is the one who decides what happens when two systems bring different information for the same customer. They are the referee of the business rule, not just the inspector of the master record.

Procurement and supply chain come in because they are the first to feel the pain when interoperability fails: a purchase order that does not match the contract because the supplier is registered one way in the purchasing module and another way in the finance module.

And the data governance committee, when there is one, is the body that decides which system is the source of truth for each attribute. That seems obvious until you ask in a meeting, "does the delivery address come from the CRM or from the ERP?" and watch two areas disagree, having done so for years without noticing.

Which tools support interoperability

At the integration and middleware level, companies use platforms such as SAP PI/PO or SAP Integration Suite, plus market tools like MuleSoft and Boomi, to make systems talk to each other through APIs.

At the master data level, real interoperability comes from MDM platforms such as SAP Master Data Governance, Informatica, Stibo Systems, Reltio, Semarchy, Profisee and Ataccama. Each one has its own way of attacking the problem, but they all exist to solve the same thing: to be the trusted source that other systems consult, instead of each one having its own truth.

At the catalog and metadata level, tools such as Collibra, Alation and Microsoft Purview help map where each piece of data comes from and where it goes, which makes it much easier to design a new integration without breaking the existing ones.

No tool alone solves interoperability without process and without a data owner. I have seen a company buy the most expensive platform on the market and keep its duplicate records, because the problem was never technology.

How to learn about master data interoperability

Anyone who wants to understand data interoperability needs a foundation in two pillars: integration architecture, to understand how APIs, middleware and ETL talk to each other, and master data governance, to understand business rules, quality and responsibility for the data.

DAMA's CDMP certification helps organize the knowledge in a structured way, especially the data architecture and master and reference data management modules. There is a widespread myth in Brazil that certification is useless. Nonsense. It organizes what you already live in practice and gives you the vocabulary to discuss with other areas.

Beyond theory, I recommend closely following a real integration project between ERP and CRM, or between ERP and a marketplace. That is the kind of project where the theory of the unique key and the translation rule stops being a slide and becomes a real headache, which later becomes real learning.

Career opportunities in this area

Master data interoperability sits at the crossing of data and systems integration, and that crossing has more and more open positions. Companies that migrate to S/4HANA, adopt a new CRM or launch an e-commerce channel run into this problem all the time.

Data architecture professionals, integration analysts and data stewards with multi-domain MDM experience are among the most sought after today, because few professionals understand both ends: the technical side of integration and the business side of the master record.

Those who already work as master data analysts or data analysts and want to grow in their careers can stand out a lot by understanding how data moves between systems, not just how it is validated inside a single system.

Main questions about master data interoperability

Is data interoperability the same as systems integration?

Not exactly. Systems integration is the technical plumbing that connects two pieces of software. Master data interoperability is the guarantee that what goes through that plumbing arrives with the same meaning on both sides, without being duplicated or turning into a different record.

Do I need an MDM platform to have interoperability?

In small companies, a well-designed process and a well-defined unique key already solve a good part of the problem. In midsize and large companies, with many systems and many data domains, an MDM platform pays for itself quickly, because it centralizes validation instead of spreading business rules across ten different integrations.

What causes more interoperability failures: technology or process?

Process, almost always. Technology today solves practically any technical integration. What fails is the lack of a data owner, of a clear rule about which system rules each field, and of a routine for record maintenance.

Does data interoperability help with LGPD?

It helps a lot. When a data subject's personal data is scattered across systems that do not talk to each other, it is much harder to fully handle a deletion or correction request. Well-done interoperability makes it easier to trace where each piece of personal data is and to propagate a correction to all systems at once. (LGPD is Brazil's General Data Protection Law.)

Is this pain more common in large or small companies?

It is more visible in large companies, because the number of systems grows faster than governance. But a small company that is growing and buying new systems without planning the integration is planting the same problem, it just has not felt its size yet.

MDM Academy

MDM Academy is 4MDG's school of governance and master data. It was created to train professionals who understand both the technical side of master records and the business impact of poorly managed data, the kind of professional the market misses every day.

There you will find training in MDM, data governance, data quality, SAP for master data and LGPD, built from real project cases, not loose theory.

If you want to truly understand how interoperability, master data and governance connect in the day-to-day of companies, it is worth getting to know MDM Academy or joining Data Club, our community of master data and governance professionals who exchange real experience every day.

Conclusion

Every company that grows buys new systems. And every new system that comes in without a master data interoperability plan becomes one more record to distrust.

Integration technology is mature. What is missing, in most of the companies I talk to, is deciding who owns the data and which system rules each truth. You cannot buy that on any platform.

At your company, do the ERP and the CRM already agree on who your customer is?