© CDQ AG – St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 0
Kai Hüner
Simon Schlosser
Corporate Data League
Cross-corporate business partner data management in the cloud
St. Gallen, 2015
© CDQ AG – St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 1
Ever-growing regulation and
Compliance rules
Companies from several industries are facing the same
challenges in business partner management
Operational excellence – or
“do more with less”
Rise of professionally
digitized frauds
 Find ways to improve process
performance with less head count
 Digitize manual processes to reduce
head count and risk
 Learn from others to avoid “reinventing
the wheel”
 Advancement in hacker capabilities
 Scammers perform multi-channel attacks
(e.g. hacked email and phone)
 Professional frauds are run again multiple
companies
 Provide upstream transparency and certificates
to fulfill regulation and consumer demands
 Provide downstream transparency to comply to
e.g. blacklists and embargos
 Provide high-quality data to fulfill legal reporting
requirements
Share
updated business
partner data
Share
fraud warnings
with forged data
Share
certificates
and blacklists
Share
updated business
partner data
Share
fraud warnings
with forged data
Share
certificates
and blacklists
© CDQ AG – St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 2
Corporate Data League
Cross-corporate business partner data management in the cloud
Increase data quality
Automated address cleansing, normalization and translation,
semantic business rules validation, state-of-the-art matching technology
Reduce data maintenance efforts
Common standards, trustful community, sharing of up-to-date information,
managed community processes, and easy-to-use cloud services
Manage compliance risks
Up-to-date blacklist information, sharing of banking data fraud information,
compliance with Swiss data privacy law, cloud services hosted in Switzerland
Benefit from the shared wisdom of the crowd
www.corporate-data-league.ch
© CDQ AG – St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 3
Collaboration and cloud technology are the major pillars of
the Corporate Data League (CDL)
Corporate Data League*
The CDQ Team
 Manages the CDL community as a
neutral moderator
 Operates CDL cloud and services,
 Monitors data quality and
process performance
 Provides up-to-date reference data
(e.g. blacklists, business rules)
The CDL Cloud
 Protects all CDL data by
state-of-the-art IT security
concepts
 Keeps all data in a protected
cloud hosted at Swisscom in
Switzerland
The CDL Members
 Share updates of business partner data
 Double-check updates to assure data quality
 Share compliance information such as uncovered
banking data frauds
 Review and revise CDL metadata such as business
rules and blacklists
 Share best practices for processes and organization
* CDL members and interested companies
CDL Cloud
read
write
© CDQ AG – St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 4
CDL cloud services provide a number of benefits across the
entire business partner data lifecycle
Lookup
Required information:
Name, country, locality
Add details
e.g. legal form and address,
tax number, and banking data
Check compliance
Check data against
CDL compliance database
Get regular updates
Call CDL cloud services
to receive updates
Higher data quality Less maintenance Less compliance risks
 Lookup business
partner data in CDL
database
 Cleanse addresses
 Translate addresses
 Validate data
 Lookup banking data
 Match against
blacklists
 Check for banking
fraud warnings
 Pull updated
business partner IDs
 Pull updates per
record
Skip maintaining details and just copy complete
and up-to-date data including compliance checksBusiness partner
found in CDL database
© CDQ AG – St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 5
Visit our website to test CDL cloud services and to get a
detailed conceptual and technical documentation
www.corporate-data-league.ch
CDL Metadata Repository
Browse the documentation of CDL core concepts
Browse CDL Business Rules
Browse CDL Reference Data (e.g. blacklists)
CDL Demo Web Application
Create demo data and understand CDL Processes and CDL Business Rules
Cleanse and translate data with the CDL Cleansing Engine
Check data for duplicates with the CDL Matching Engine
© CDQ AG – St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 6
www.cdq.ch
CDQ AG
www.corporate-data-league.ch
Corporate Data League
www.benchmarking.iwi.unisg.ch
CC CDQ Benchmarking Platform
www.xing.com/net/cdqm
CC CDQ Community at XING
Contacts
University of St. Gallen
simon.schlosser@unisg.ch
Research Assistant
+41 (0)79 9642762
CDQ AG
kai.huener@cdq.ch
Partner
+49 (0)176 20195027
Dr. Kai Hüner
Simon Schlosser

Corporate Data League - Data Shareconomy

  • 1.
    © CDQ AG– St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 0 Kai Hüner Simon Schlosser Corporate Data League Cross-corporate business partner data management in the cloud St. Gallen, 2015
  • 2.
    © CDQ AG– St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 1 Ever-growing regulation and Compliance rules Companies from several industries are facing the same challenges in business partner management Operational excellence – or “do more with less” Rise of professionally digitized frauds  Find ways to improve process performance with less head count  Digitize manual processes to reduce head count and risk  Learn from others to avoid “reinventing the wheel”  Advancement in hacker capabilities  Scammers perform multi-channel attacks (e.g. hacked email and phone)  Professional frauds are run again multiple companies  Provide upstream transparency and certificates to fulfill regulation and consumer demands  Provide downstream transparency to comply to e.g. blacklists and embargos  Provide high-quality data to fulfill legal reporting requirements Share updated business partner data Share fraud warnings with forged data Share certificates and blacklists Share updated business partner data Share fraud warnings with forged data Share certificates and blacklists
  • 3.
    © CDQ AG– St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 2 Corporate Data League Cross-corporate business partner data management in the cloud Increase data quality Automated address cleansing, normalization and translation, semantic business rules validation, state-of-the-art matching technology Reduce data maintenance efforts Common standards, trustful community, sharing of up-to-date information, managed community processes, and easy-to-use cloud services Manage compliance risks Up-to-date blacklist information, sharing of banking data fraud information, compliance with Swiss data privacy law, cloud services hosted in Switzerland Benefit from the shared wisdom of the crowd www.corporate-data-league.ch
  • 4.
    © CDQ AG– St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 3 Collaboration and cloud technology are the major pillars of the Corporate Data League (CDL) Corporate Data League* The CDQ Team  Manages the CDL community as a neutral moderator  Operates CDL cloud and services,  Monitors data quality and process performance  Provides up-to-date reference data (e.g. blacklists, business rules) The CDL Cloud  Protects all CDL data by state-of-the-art IT security concepts  Keeps all data in a protected cloud hosted at Swisscom in Switzerland The CDL Members  Share updates of business partner data  Double-check updates to assure data quality  Share compliance information such as uncovered banking data frauds  Review and revise CDL metadata such as business rules and blacklists  Share best practices for processes and organization * CDL members and interested companies CDL Cloud read write
  • 5.
    © CDQ AG– St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 4 CDL cloud services provide a number of benefits across the entire business partner data lifecycle Lookup Required information: Name, country, locality Add details e.g. legal form and address, tax number, and banking data Check compliance Check data against CDL compliance database Get regular updates Call CDL cloud services to receive updates Higher data quality Less maintenance Less compliance risks  Lookup business partner data in CDL database  Cleanse addresses  Translate addresses  Validate data  Lookup banking data  Match against blacklists  Check for banking fraud warnings  Pull updated business partner IDs  Pull updates per record Skip maintaining details and just copy complete and up-to-date data including compliance checksBusiness partner found in CDL database
  • 6.
    © CDQ AG– St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 5 Visit our website to test CDL cloud services and to get a detailed conceptual and technical documentation www.corporate-data-league.ch CDL Metadata Repository Browse the documentation of CDL core concepts Browse CDL Business Rules Browse CDL Reference Data (e.g. blacklists) CDL Demo Web Application Create demo data and understand CDL Processes and CDL Business Rules Cleanse and translate data with the CDL Cleansing Engine Check data for duplicates with the CDL Matching Engine
  • 7.
    © CDQ AG– St. Gallen, 2015, K. Hüner, S. Schlosser | Corporate Data League | 6 www.cdq.ch CDQ AG www.corporate-data-league.ch Corporate Data League www.benchmarking.iwi.unisg.ch CC CDQ Benchmarking Platform www.xing.com/net/cdqm CC CDQ Community at XING Contacts University of St. Gallen simon.schlosser@unisg.ch Research Assistant +41 (0)79 9642762 CDQ AG kai.huener@cdq.ch Partner +49 (0)176 20195027 Dr. Kai Hüner Simon Schlosser