Monday 23 June 2014

Master Data Management and Big Data, what synergy?

In 2012, the Master Data Management (MDM) market recorded 21 % growth, according to the Gartner agency, to attain 1.9 billion dollars.

They predict that in 2015 the market will represent over 3 billion dollars. This increase testifies to the growing interest in corporations for MDM. In the era of Big Data, should we see a cause and effect relationship? Pascal Anthoine, Entreprise Information Management Practice Manager of  Micropole, answers this question.


Accessing master data (client, product, asset…) unique, integrated and in line with business stakes …what corporation doesn’t need that in the current climate? Similarly, the increase in data volume, the exponential growth of digital media and the social data it centralizes, as well as the cloud, are driving corporations to increase pressure on IS departments to streamline management and so the use of strategic data. We may well wonder what synergy there could be between MDM and Big Data… or simply if there is any. There is a real will to relate and link corporate data, and to enrich them with semi-structured, or even non-structured information from social and digital channels. This goes with the use of inferential statistics and predictive analysis of this huge volume of data.

The objective: adding value to information on a large scale

Obtaining related consolidated and qualitative information is the real challenge relating to Big Data which IS management faces today. But if Big Data is not structured, no processing can be performed and adding value could be complicated. Once structured, Big Data can also enrich the Corporate Master Data. Today, however, projects associating these two elements are few and far between. The reason? There is no strict legal framework notably concerning social networks. How will fans, web users react to their social network data being used for corporate purposes? What is the legal framework for usage?

Today, the precautionary principle is applied in corporations given the lack of clarity of the CNIL. But the need to centralize information coming from different channels remains present, especially with the rise of digital media. To do this, algorithms, parsing and data matching techniques may be used on very high volumes.

De-compartmentalizing channels 

Master Data Management gives a guarantee of data enabling customer processes to perform better. Most projects addressing customer-centric BtoC issues (often associated to the retail sector), are situated within a cross-channel and omni-channel strategy, and require unified information.

MDM also covers broader corporate data governance projects, including re-engineering of the IS, for which an integrated solution must be favored (including data analysis, cleansing and management). Indeed,   data quality is featuring more and more within MDM systems. This is why all the solutions provide a quality KPI dashboard solution. The benefit: manage and succeed in getting many corporate business lines to work together.


Keys to an MDM project

Today, at a time when IT budgets are being cut, projects require many meetings and considerable upstream work to identify and approve the gains. These gains must be identified and approved following the project launch.

Many companies had already implemented several ERP projects: their MDM project gives them the opportunity to obtain overall consistency, and at a lower cost.


Milestones to comply with 

  • Upstream: to detect where the real interest lies in implementing a governance project thanks to an in-depth but fast analysis of the existing status. 
  • During the scoping phase: identification of bundles and go-live over short project cycles (average 6 months) , and partnering on the corporate handling of their data. 
  • Downstream: a governance policy which is both operational and sustainable.


Find out more:


Contact: Pascal Anthoine