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Five Essential Elements of MDM and CDI

I think you can boil a successful Master Data Management (MDM) or Customer Data Integration (CDI) initiative down to these five essential elements: (1) a Hub of some type – there are three major types of MDM-CDI hubs. . (2) some kind of data integration or middleware – because it’s important to be able to dynamically synchronize data into and out of the central hub. . (3) data quality capabilities – most companies quickly realize (through data profiling, which is strongly encouraged) or just through looking at the data manually, that their information starts off with a low level of data quality. . (4) external content – also known as enrichment. . (5) data governance – I put this last, but it’s actually the most important of the five. Bringing together the previous four elements of an MDM or CDI hub is difficult enough – don’t try to do it without the support of a data governance council to own the solution as it is developed and deployed.

Like this: Méta données - Club d'entrai. Imaginons une application.

Méta données - Club d'entrai

La plus belle que vous ayez écrite... Dès qu'elle se trouve en exploitation, les utilisateurs râlent parce que certaines données n'ont pas été modélisées.Par exemple dans la prospection commerciale vous avez oublié les données "chiffre d'affaire" ou encore "forme juridique de la société"... Dans une approche classique il vous faut modifier la table des prospects en y ajoutant les colonnes demandées. Si vous voulez une base performante, il vous faudra peut être rajouter une table de références proposant les différentes formes juridiques de société, afin que les utilisateurs ne saisissent pas n'importe quelle information que vous aurez du mal ensuite à retrouver, pour, par exemple, extraire les prospects dont la société est une SA... chacun ayant l'habitude de codifier ou de saisir à sa manière.

Puis il vous faudra modifier nombre de requêtes afin de faire apparaître ces informations dans les différents écrans. Cela, c'est la partie la plus simple. 2.1. Master data management—lessons learned over the course of a year. Master Data Management Bidirection Data Integration XML Java Dat. Reducing operational costs and increasing business productivity are high priorities for enterprises in the current economic climate.

Master Data Management Bidirection Data Integration XML Java Dat

This has raised interest in a number of information management projects ranging from dynamic data warehousing, master data management, application migrations/consolidations, operational BI, and services-oriented architecture environments. For these initiatives to be successful, there is a common, pervasive need for a steady, reliable stream of data from a diverse range of data sources while not impacting existing production systems or adding any business or IT risk.

A key factor in the solution is effectively managing enterprise data through the timely capture and delivery of information as it happens. This not only helps reduce both business and IT costs, but also increases visibility into lines of business to help optimize/streamline processes to minimize business risk. This led to the IBM acquisition of DataMirror. Master Data Management. In business, master data management (MDM) comprises the processes, governance, policies, standards and tools that consistently define and manage the critical data of an organization to provide a single point of reference.[1] The data that is mastered may include: master data - the business objects for transactions, and the dimensions for analysistransactional data - supports applicationsanalytical data - supports decision making [2] In computing, an MDM tool can be used to support master data management by removing duplicates, standardizing data (mass maintaining), and incorporating rules to eliminate incorrect data from entering the system in order to create an authoritative source of master data.

Master Data Management

Master data are the products, accounts and parties for which the business transactions are completed. The term recalls the concept of a master file from an earlier computing era. Issues[edit] Solutions[edit] See also[edit] References[edit] External links[edit] Master Data Management - Teradata. Master Data Management Services MDM, metadata−Hyperion.

Blog: Colin White: Master Data Integration or Master Data Manage.