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xxx     Enterprise Data Governance

                                software which is often locked in, hard-coded and stratified,
                                in order to situate it  in a new kind of information system
                                assets repository, under the responsibility of business users
                                themselves. The first of these repositories is that of reference
                                and master data, i.e. through  Master Data Management
                                (MDM).


                                The loss of control of data

                                  Under pressure, to be ever more agile and conform to
                                                     1
                                business regulations ,  a company can no longer tolerate a
                                rigid IT: it must find the means to transform it in order to
                                make it more flexible and transparent for  business users.
                                This transformation starts by retaking control of the heart of
                                systems, that is to say the data, in a unified manner across
                                the whole of the information system. The renovation of IT
                                cannot be achieved while the meaning and value of data are
                                unreliable and not shared by the actors in the company. This
                                re-appropriation effort is even more urgent as IT is not only
                                unsuitable for business users, it also lacks transparency for
                                IT specialists themselves, even though they are in charge of
                                maintaining it. They no longer know the data they are
                                supposed to govern  well enough. It is too often situated in
                                legacy databases which are poorly documented.

                                  Like me, the reader will have been confronted, too often,
                                with the inability of a company to provide up to date
                                documentation of the meaning of data, beyond a technical
                                description. This lack of quality is costly and poses strategic
                                problems that have been studied by a number of consulting
                                firms such as, for example, here: “Companies are making bad
                                operational decisions every day  of the week [and losing
                                money] because of bad data quality”, says Ted Friedman, an
                                analyst at Gartner Inc. in Stamford, Connecticut. “Poor data
                                management is costing global  businesses  more than $1.4


                                1. Sarbanes-Oxley Act (SOX), Basel II, Solvency II, Green regulations, etc.
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