Do we need a dedicated MDM tool?

Not necessarily. Many companies start with clear rules and processes on an existing platform and only add a dedicated MDM tool once the domains and data volumes justify it.

How quickly do we see benefits?

Initial improvements—such as cleansed customer or product data in one domain—are often visible within a few weeks. The full benefit unfolds iteratively as further domains and systems are connected.

Who owns master data internally—IT or the business?

Both. IT provides the platform, interfaces and automation, while the business acts as data owner, responsible for the factual accuracy and approval of master data. Clear governance roles are part of our approach.

How do we minimise the change effort for the business teams?

Through a step-by-step rollout, involving the business teams closely from the start, and processes that stay close to existing ways of working instead of overhauling them completely.

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Master Data Management (MDM)

More on Master Data Management (MDM)

Customers, products, suppliers, locations—your entire business is built on this master data. CONSENSO TECH helps you consolidate, govern and keep this critical data consistent across systems. The result: stable processes, reliable reporting and a solid foundation for BI & Data Analytics.

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Central definition & governance of your most important master data

Consistent data across systems (ERP, CRM, shop, BI, …)

Clear responsibilities & processes for creation and maintenance

Measurable data quality with monitoring and KPIs

Master data in practice Sound familiar

Without structured master data management, every extension of your system landscape gets more expensive, slower and more error-prone

Customer “Muster AG” exists with slightly different names and IDs across several systems.

Product structures, categories and prices differ depending on the system.

Reports need tedious corrections because labels and attributes don't match up.

There's no clearly defined responsibility for maintaining and approving master data.

Core principles What we focus on

Authoritative master data

Every domain (customer, product, etc.) has one clearly defined “truth”.

Business governance

Roles, processes and rules define who is allowed to change what.

Cross-system consistency

The same master data is used across all connected systems.

Single source of truth

An MDM hub or clearly defined master that feeds other systems.

Our approach to MDM

An end-to-end approach to master data management

Assessment & target vision

Analysis of the current master data landscape
Identification of the most important data domains
Identification of the biggest risks and quick wins

Data model & governance

Definition of harmonised data models
Roles (data owner, data stewards, IT)
Approval and change processes (workflows)

Technical platform & integration

Selecting / using an MDM solution or an existing platform
Interfaces to ERP, CRM, shop, data warehouse & BI
Validation, duplicate logic, data enrichment

Monitoring & improvement

Defining data-quality KPIs (completeness, uniqueness, timeliness)
Dashboards & alerts for rule violations
Ongoing optimisation of rules and processes

Typical scenarios for master data management

Financial Services

Clean customer and account master data for reporting, KYC and risk management.

E-commerce & Retail

Unified product master data across PIM, shops and ERP, consistent pricing & availability, a central view of customers.

Manufacturing

Harmonised material and supplier master data, consistent bills of materials, transparency across plants and locations.

Pharmaceuticals & Healthcare

Tightly controlled product, customer and site master data for audits and regulatory requirements.

Connection to BI & Analytics

From MDM to BI, reporting & analytics

Master data management only reaches its full value once cleansed master data reliably reaches reporting and analytics:

Connecting MDM to your data warehouse / data lake

Consistent metrics and dimensions across all reports

Using master data in OLAP cubes and BI tools

A foundation for data science, AI & advanced analytics

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FAQs

FAQ – Master Data Management (MDM)

Quite the opposite. Companies with a system landscape that has grown over time benefit particularly strongly from a lean MDM setup. Often it's enough to start with a single domain—customers or products, for example.