Master Data Management
A single version of the truth for the entire business: master data governed, consistent, and synchronized across systems.
Tools and platforms
We use modern governance and MDM platforms that integrate AI to maximize impact and reduce technical dependency on the team.
What is causing inconsistency in your data?
With the wrong approach:
Duplicate master data with different versions of customers, products, or suppliers in each system
Contradictory decisions because Each area works with a different version of the same data
Friction between systems by Lack of synchronization of master data between ERP, CRM and operational platforms
The organizations They lose up to 30% of their potential value due to inconsistent or poorly governed master data
Sin ownership of the dataNo one is responsible for maintaining the consistency of customers, products, or suppliers
With the right approach:
A single version of customers, products, and suppliers synchronized and consistent in all systems
Clear rules and Defined golden record to resolve conflicts between systems and ensure operational consistency
Synchronization between systems so that ERP, CRM and operational platforms Always work with the same data
Reduction of operational errors up to 40% less when the master data is governed and synchronized
MDM as sustainable capacity with roles, metrics, and processes that maintain consistency over time
We turn your master data into an operational advantage
DEFINITION OF MASTER DOMAINS
We design models that eliminate duplications in customers, suppliers, and products, aligning definitions between the business and IT.
GOLDEN RECORD AND BUSINESS RULES
We establish clear master registration and ownership criteria to operate consistently from the outset.
INTEGRATION WITH CORE SYSTEMS
ORGANIZATIONAL ADOPTION
SUSTAINABILITY IN TIME
We turn MDM into an ongoing practice of improvement, not an isolated project dependent on IT.
Organizations lose up to 30% of their potential value due to inconsistent master data. MDM transforms that hidden risk into operational consistency and reliable decisions.
WHAT WE DO
(in the order that really matters)
1. Definition and management of master domains
- Domain and system diagnostics
We identify where inconsistencies arise, which data is critical, and how it is actually used in business processes. - Master data model and golden record
We design the master model with business rules and criteria for resolving conflicts between systems. - Definition of ownership and governance
We establish responsibilities, approval roles, and metrics so that MDM becomes a real capability and not just a technical document.
30%
Organizations lose up to 30% of their potential value due to inconsistent or poorly governed master data across their systems.
Gartner – Master Data Management
Success story: An international bottler needed to standardize its master data for purchasing and supply processes in multiple countries.
Results: Reduction of rework and greater consistency in purchasing processes with unified catalogs in SAP Ariba.
2. Implementation and integration with core systems
➤ We integrate MDM with ERPs, purchasing platforms, and operating systems to ensure synchronization of master data between all critical business applications.
- Integration with ERP and operating systems
We connect MDM with SAP, Oracle, Dynamics 365 and other platforms to ensure that all departments work with the same information. - MDM for SAP Ariba Procurement
Specialization in purchase catalogs and master data of suppliers to reduce errors in corporate procurement processes. - Synchronization and traceability
We ensure that master data flows correctly between systems with clear lineage and less operational friction between areas.
Success story: We implemented MDM for SAP Ariba Procurement in a corporate organization with multiple business units and purchasing systems.
Results: Consistent catalogs and lower error rates in corporate purchasing processes between areas and countries.
40%
Companies with mature MDM reduce operational errors related to inconsistent master data between systems by up to 40%.
McKinsey – Data Governance & MDM
3. Organizational adoption and sustainability of the MDM
We accompany the adoption of the MDM model by defining roles, processes, and metrics that ensure its real use in daily operations—not just on paper.
- Definition of roles and responsibilities
We establish who is responsible for each master domain and how decisions are made when there are conflicts between systems or areas. - Approval processes and continuous improvement
We design operational flows for high, modifications, and low data changes with validations and traceability. - Adoption and quality metrics
We have defined indicators that allow us to measure whether the MDM is being used correctly and where there are opportunities for improvement.
60%
More than 60% of the MDM programs fail due to a lack of organizational adoption and continuous governance, not because of the chosen technology.
Gartner – Data Governance Programs
Success story: A corporate organization implemented MDM but without clear roles or processes. We redefined domains, ownership, and adoption metrics for all involved areas.
Results: Less conflict between areas and decisions based on consistent information from a single source of truth.
HOW DO WE DO IT?
- Domain and system diagnostics
We identify inconsistencies, critical data, and how it is actually used in business processes. - Definition of the master model
We design the data model, business rules, and golden record criteria aligned with the actual operation. - Implementation and integration with core systems
We connect MDM with ERP, purchasing platforms, and operating systems to ensure synchronization and traceability. - Adoption, governance and continuous improvement
We define responsibilities, processes, and metrics so that MDM is used and respected by all departments.
We do this so that the MDM will be a real operational advantage, Not a technical project that nobody uses, but a capability that reduces friction and enables reliable decisions.
RESULTS
that speak for themselves
Organizations with mature MDM reduce operational errors by up to 40% and improve confidence in their master data in less than 12 months. Gartner, McKinsey
%
reduction of loss of value due to inconsistent data
%
Reduction of operational errors with mature MDM
%
MDM programs that fail without organizational adoption
%
improvement in consistency of decisions with data governance
Why us?
At Grupo Scanda, we implement MDM as a real organizational capability. We don't just deliver a technical model: we accompany the implementation process. Definition, integration and adoption so that the entire organization operates with a single version of the truth.
Proven experience:
MDM implementations in bottlers, corporations, and organizations with SAP Ariba, ERP, and purchasing platforms in multiple countries.
Atlan Platform + AI:
We use Atlan as a collaborative data hub, integrating multiple sources, facilitating traceability and governance with integrated AI.
Organizational focus:
We approach MDM as a change in culture and operation, not just as technology, ensuring real adoption and sustainability over time.
Experience in SAP Ariba:
Specialization in MDM for corporate procurement processes, catalogs, and master data of suppliers in SAP environments.
Ready to boost your business?
We have the solution for youContact by telephone
(55) 1251-2700
Location Mexico City
Miguel Laurent #804, Col. Letrán Valle, Alc. Benito Juárez
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