I support you along side your full master data life cycle.

 
 1
START

 
 2
IMPROVE
 
3
OPTIMISE
 
             
   
How to start you data integration project:  Technology
Domain
Governance
Glossaries/data model
ROI, Incremental?

   
    • Data hubs APIS
    • Multidomains
    • Quality rules
    • Stewardhsip
    • Analytics
     
    • Compliance (SOXS, GMPs)
    • Social networks
    • Outsourcing
     
                 
     
    CONTACT

    yann.cherel@prodite.ch

     

     
    BIO

    I am based in Geneva, Switzerland. I have actively participated in a number of master data and Finance initiatives for large organisations including Nestlé, Bacardi and Novartis.

    I worked on MDM PIM, MM and business partner processes, effectively liaising with large spread of stakeholders.
    • Vision and strategy
    • Architecture / Integration hubs & migration
    • Documentation: standards, procedures, policies
    •  Data quality: planning &  improvements,
    •  Governance / Stewardship: roles and responsibilities,
    • Service Management
    • Analytics and scorecarding

    Certifications: CIMA, PMI, Prince2, Sig sigma black belt, ITIL Foundation
    Conversant with: IFRS, COBIT, SFIA, COSO, DMBOK, BPMN, GMPS (documentation, quality)

    Systems: SAP MM, Trackwise, IBM Infosphere, Informatica, Talend, Sharepoint,

    DAMA International member.


    PRODITE
    "Prodite" ("Prodeo, is, it, imus") means "go forward" in latin.

    Papers

    The objective of these articles is to offer NEW PERSPECTIVES from  MY experience with real life examples.

     Papers on Master data


      Master data governance project overview
     Tenets, risks and activities in a master data governance project
     
     
     Risk management for data migration
    Challenges, cycles and risks responses of a data migration project.

     

      The future of master data
     Thoughts about the data management progress cycle

     

      Master data quality Management
     Tips for planning and executing data quality improvements

     

    Other papers



    External links

    DAMA
                                                         
    Data Governance Institute 
                          
    Selection of books (Kindle)