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Increasing the Data Quality in CRM
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Increasing the Data Quality in CRM

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Arlanis salesforce.com Customer Day 2010

Arlanis salesforce.com Customer Day 2010

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  • 1. Increasing the data quality in CRM Arlanis salesforce.com Customer Day 2010
  • 2. Who is UNISERV?
    • Market leader in customer data quality in the German-speaking countries and France
    • Head office in Germany, branch office in France
    • Partner network in various European countries and the USA and Canada
    • Listed in Gartner's Magic Quadrant for data quality tools
    • ~ 870 customers
    • ~ 130 employees
    • More than 40 years experience
  • 3. UNISERV – (Small) extract from customer references
  • 4. UNISERV – Fields of application of data quality solutions Analytical business applications CPM BI / BDW Data migration Compliance Dialogue / Direct marketing Data integration MDM / CDI Operative Business Applications ERP CRM eBusiness
  • 5. UNISERV – Fields of application of data quality solutions Analytical business applications CPM BI / BDW Data migration Compliance Dialogue / Direct marketing Data integration MDM / CDI Operative Business Applications ERP eBusiness CRM
  • 6. Typical quality problems for customer data
    • Incorrect customer data
    • Obsolete customer data
    • Duplicates
  • 7. Incorrect customer data
    • Causes
      • Typing errors, illegible documents, phonetic ambiguities
      • Errors during data transfer
      • Inadequate consideration of international addresses
    • Effects
      • Loss of image
      • Undeliverable addresses
      • Risk of duplicates
  • 8. Obsolete customer data
    • Causes
      • Place was incorporated
      • Street was renamed
      • Buildings were re-numbered
      • Customer/prospective customer has relocated
    • Effects
      • Undeliverable addresses
      • High costs for manual research and correction
      • Risk of duplicates
  • 9. Duplicates
    • Causes
      • Contacts / accounts are inadvertently recorded twice
      • Automated transfer from different sources
      • Address changes
    • Effects
      • Additional costs and dead letters for mailings
      • Information distributed over different data records
      • "Single View of Customer" is not implemented.
  • 10. "Intelligent" solution for duplicate check KFZ Werkstatt A. Müller Ringstr. 12 12345 B-Stadt Anton Müller Ringstr. 12 12345 B-Stadt Autohaus am Ring Ringstr. 12 12345 B-Stadt similar similar not different KFZ Werkstatt A . Müller Ringstr. 12 12345 B-Stadt Auto haus am Ring Ringstr. 12 12345 B-Stadt Anton Müller Ringstr. 12 12345 B-Stadt
  • 11. International address validation France Italy Switzerland Austria Germany Canada USA Norway Poland Denmark Sweden Finland UK Portugal Spain Netherlands Luxembourg Belgium Brazil Russia Czech Rep. Hungary Slovakia Global solution for ~ 240 countries
  • 12. Securing the data quality in a closed cycle
  • 13. Data quality audit at www. data - quality -on- demand . com
    • Select free audit
    • Upload address file
    • Carry out address validation and duplicate check
    • Download result statistics and quotation
  • 14. Database cleansing at www. data - quality -on- demand . com
    • Select processing with costs
    • Upload address file
    • Carry out address validation and duplicate check
    • Download results
  • 15. Check for new entries and changes
    • Integrated check in salesforce.com (together with Arlanis)
    • Address check + duplicate check
    • Automatic check of each new entry or change of a contact or account
    • Fully integrated in salesforce.com

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