Master data management creates a consistent, quality set of critical data for reuse across systems and processes.

We blend consulting, education and tools to provide a complete business solution to master your data.

We have delivered a number of MDM programs for clients in financial services, government and manufacturing.

Master Data Management

What is Master Data Management?

Master Data Management (MDM) is the technology, processes and governance enabling an organisation to link and share critical master data.

Master data are the objects of a business - typically people, places, things and concepts. For example, a supplier (person) may provide a service (thing) under the terms of a contract (concept). Or a customer (person) may buy a product (thing) from a store (place).

In practise, master data may reside across many systems, each applying different standards and rules. Even within a single system, data quality problems mean that master data is often duplicated or redundant.

Throwing technology at the problem without business oversight frequently makes problems worse.

Our MDM approach

Not all data is equally important. Business priorities should be the focus

Create a focussed scope by supporting key business processes first.

Identify key business stakeholders relying on these processes – these include producers, consumers and owners of data.

Data governance is a critical success factor to ensure business alignment for the MDM project.

Governance should enable collaboration between all stakeholders, identify key data requirements and standards, and create the context and priorities for successful MDM. Without data governance, MDM projects frequently unravel due to conflicting needs and political agendas.

Identify critical data elements supporting these processes and the producing and consuming systems

What master data is required, where is it currently stored, how is it changed?

Conduct an MDM Readiness Assessment to on the key master data.

Are there any unpleasant surprises lurking in the data? Data Quality efforts typically take much longer and cost much more than planned.

An MDM Readiness Assessment is vital to understanding and managing the data risk inherent in MDM, to define a data model that will minimise data migration failures, and to keep implementation time scales within scope and budget.

The MDM Readiness Assessment will provide you with critical metadata for planning the most cost effective data models, migration strategy and implementation plan.

Develop the master data model

What attributes must be supported to support key processes?

The metadata generated during the MDM Readiness Assessment is a key feed into this model, as are the business requirements defined by your Data Governance team.

The goal is to define an extensible model that can support your existing requirements and that allows you to map all source system attributes to a “best fit” physical model. However, the model should not be more complex than required - the more data that is added the more difficult to manage

Generate and test the master data

Enterprise data quality capabilities must be used to standardise and consolidate various representations of each record into the single best “golden” record.

You need to be able to trust your match process – no data stewards have the time to manually validate matches.

Implement Data Quality metrics

Is your master data fit for purpose? Master data that is of poor quality can quickly spread to consuming systems, degrading the overall quality of data within your business.
Data stewards, and other interested stakeholders, should monitor data quality dashboards to ensure that master data remains fit for purpose, and to allow corrective action if it reaches unacceptable levels.

Modify the producing and consuming systems

Existing systems may need to be modified to use the new master data. At the very least, systems should not add new master records without first doing a check to see whether the record already exists in the master system. If possible, leverage the same data quality solution as used in the MDM application for this.

Extend, Enhance and maintain

Multidomain master data is not static.

As business processes improve, additional data elements may need to be added, or data quality standards and policies may change to support new business requirements.

Your data governance process should drive ongoing enhancements and changes to the MDM solution to keep it relevant.

A full "single view" may extend beyond master data to include all data related to each domain subject

15 years master data management experience

Our consultants have delivered master data solutions for a range of data areas - including Product/Materials Data, HR/Employee Data, Supplier/Vendor Data, Customer Data and Name & Address Data.

We have worked in a number of industries - including banking, insurance, government, telecommunications, hospitality, mining and manufacturing

We understand the complexities of managing African data - including multiple languages, minimal standards and a lack of reference data and our methodologies address these complexities for best results.

Whatever your data quality problem, we provide a practical solution:

  • Once off Readiness Assessment or ongoing Data Quality metrics
  • Once off Data Migration
  • Data Governance and Quality for MDM
  • Automated data cleansing and matching processes - in batch and real time
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