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Capturing master data value – Part 2

January 11, 2021
5
min read
Capturing master data value – Part 2
Master Data Management is intended to provide a view over consolidated data from multiple system sources.

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On Part 1 of this article, we approached the concept of MDM and how it works. On this final part, we will get into deeper detail by speaking about MDM key processes, use cases and impact for the Telecommunications industry.

MDM key processes

These are the key processes for any MDM system:

Historically, enterprise applications were written with the understanding that they had total control over their own data. Today we know that key business data needs to come from authoritative sources outside of particular application domains, and that data needs to be shared beyond the applications boundaries.

MDM is designed to accomplish these goals, but implementation roadblocks are created by applications that are not aware of these realities. When an application understands that the key data elements within its domain have business value beyond its borders, it is called a “MDM Aware Application”.

An MDM Aware application is prepared to:

What is MDM used for?

Over the last decades, IT landscapes have grown into complex arrays of different systems, applications and technologies. This fragmented environment has created significant data problems, and as systems of record and customer engagement applications expand in use, companies find they have no single clear view over data. In fact, the need to create, manage and deliver a single version of truth is vital to enabling organisations to drive true digital transformation, such as providing a superior product, digital and customer experience. It’s also more challenging than ever, given the ubiquitous use of mobile, IoT and the cloud, to manage the overwhelming amount of data produced by companies worldwide every day.

This is where MDM comes into play and where it can help highly-data-distributed organisations and those that have frequent or large-scale merger and acquisition activity. MDM is intended to provide a view over consolidated data from multiple system sources. At the same time, the MDM system typically is configured to give a federated view of data across the organisation so that standard approaches to treatment of data are maintained. It removes duplicate records and combines incomplete data to create a “golden record”, which acts as a single version of the truth that connects business systems. MDM also helps companies with segmented product lines, preventing disintegrated customer experiences.

MDM for Telecom?

MDM is applicable to Telecoms in the same above described scenarios. It is useful mainly for scenarios where multiple systems master the same business data, commonly where different IT stacks manage different lines of businesses or product lines. MDM brings benefits by managing a common business data view, by merging the same data from the siloed distinct IT stacks.

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Conclusions

Merging everything together, MDM is all about:

MDM concepts should not be confused with Data Virtualisation concepts. The main difference between them is that when introducing a MDM into the IT landscape, the same MDM system will become the master system for the data it will manage, removing the mastership from the operational systems. Any related data flow needs to be updated to consider this new mastership, i.e., any operation over data in any operational system needs to be validated and made effective by the MDM system, being the result of that same operation propagated to any system using the same data.

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References

Data

Telco

Written by
Eurico Frade
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