Your Challenge

• Clean master data is the baseline for efficient processes and consistent reporting. However, in your company, it is exactly the master data quality which is not up to expectations.
• The requirements regarding completeness and quality of data continue to rise, be it because of the internationalisation, new legislative requirements, or new business cases and reporting requirements.
• As if that wouldn't be enough, Master Data seems to be a topic where no one feels responsible and taking on the subject is a tough and not so glamorous task.
• You are looking for a Partner with drive and experience in the subject, in order to institutionalise a master data management which ensures significant master data improvement and sustainable master data quality.

Master Data Improvement with ANTESIS - Your Benefit

 

 

 

The implemented solution is designed to your specific company and requirements, based on proven solution-modules from comparable successful projects.

Solutions with ANTESIS are not tool-driven, but sustainable organisational solutions. They are practical, effective and particularly: sustainable.

The ANTESIS implementation approach ensures that the solution is quickly accepted by the employees and institutionalised. It also ensures that there is no long-term dependency on costly tools or consultants.
 
ANTESIS brings in the required drive and enthusiasm which is required in such a "dry" topic, in order to deliver high-quality results.

Next to the implemented solution for sustainable master data quality, most implementation require a one-time Special effort to clean-up existing data. ANTESIS can provide also here pragmatic sourcing solutions, from automatic cleaning cycles to manual interventions with economic trained trained external resources.

With ANTESIS you leverage master data quality sustainably and thereby set the baseline for efficient processes and consistent reporting.

Role of ANTESIS

Coach, Consultant, and/or Project Manager

"The process can only as good as the based on master data is consistent."
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