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Geneva, October 5th 2011 – Global Data Excellence announces that the Canton of Valais has chosen the DEMS software to implement its Data Excellence programme.
DEMS is the first tool that verifies that data is used compliant to the rules defined by an organization. Furthermore, DEMS measures in terms of value (usually monetary) the implication of non-compliancy.
In Switzerland, the provisions in “The Law on Harmonization of Registers (2008)” have made it necessary for the administration of the Canton of Valais to implement a central data repository. The canton’s IT department will be managing the implementation of the repository which implicates more than 140 communes. It will simplify data exchanges (definition of the list of characters, codes and flags) and impose the principal of the unique identification of physical persons, the address of residence or a postal code.
The project, which will be completed in 2012 (eliminating paper messaging), has been organized in 3 phases:
Release date: 9/21/2011
New European partnership will be extended to the US market to help spur adoption of data governance.
Paris (21 September 2011) — DataFlux, a leader in data management solutions, today announced it has finalised a global partnership agreement with Global Data Excellence (GDE), a leading provider of data quality and data governance software. Under the terms of the partnership DataFlux and GDE will provide a joint technology and expertise offering that will help organisations improve the commercial, marketing and financial value of their corporate data.
GDE’s approach and technology compliments the comprehensive DataFlux Data Management Platform by allowing firms to assign a business and financial value to their data. As the DataFlux platform is deployed to help organisations improve data management key performance indicators (KPIs) the GDE system is then able to show the financial and business impact of improvements made to corporate data. The combination of the two technologies is well suited for organisations that wish to prove the on-going business case for data management.
