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MDG Summit 2021 - Tobias Pentek & Peter Ertl (CDQ)

Weitere Infos: https://www.ibsolution.com/sap-mdg-summit-2021

Datenqualität als Service: Automatisierte Datenqualität in SAP MDG - Maximieren Sie den Wert Ihrer Business Partner Daten

Erfahren Sie, warum Daten einen Wert für jedes Unternehmen darstellen, was die Werttreiben sind und wie jeder mit Datenqualität als Service mehr Wert aus seinen Daten erzeugen. Zusätzlich erfahren Sie, wie Datenqualität als Service im Kontext von SAP MDG integriert werden kann.

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MDG Summit 2021 - Tobias Pentek & Peter Ertl (CDQ)

  1. 1. 1 Datenqualität als Service (DQaaS): Automatisierte Datenqualität in SAP MDG Maximieren Sie den Wert Ihrer Business Partner Daten Dr. Tobias Pentek CDQ AG Peter Ertl CDQ AG
  2. 2. 2 This session has four objectives Learn how data creates value in enterprises Understand what Data Sharing is 1 2 Discover how CDQ’s DQaaS ensures “First Time Right” Business Partner data in SAP MDG 3 Learn how CDQ’s DQaaS enables “Zero Maintenance” for Business Partner data in SAP MDG 4
  3. 3. 3 Source: CC CDQ Whitepaper “Managing Data as an Asset with the Help of AI”, 2019 https://www.cc-cdq.ch/publication/data-value-formula
  4. 4. 4 The CDQ Data Value Chain illustrates the way from raw data to value from data Manage data assets Acquire and create data Unify and maintain data Protect and retire data Discover and use data Decision-making Digital products and services Business processes Generate business value Generate revenues (top-line) Increase efficiency & reduce costs (bottom-line) Reduce risks and ensure compliance (risk mitigation) RAW DATA VALUE IN USE Data lifecycle Source: CC CDQ Research Report (2021) “The Data Value Formula – Three keys to unlock your data´s full potential” V Q U VOLUME QUALITY USE DATA VALUE X X Source: Deloitte CPO Survey 2019 & The costs of poor data quality, Journal of Industrial Engineering and Management, 2011 78% of respondents said cost reduction is their top priority 33% of organizations have delayed or cancelled new IT systems because of poor data 88% of all data integration projects either fail completely or significantly over-run budgets Less than 50% of companies claim to be very confident in the quality of their data" CHALLENGES
  5. 5. 5 Maintaining business partner data is a big challenge Business partner data changes all the time, often with no common view 1 3 4 2 1 1 1 2 2 3 3 3 3 4 4 Company A Company D Company B Company C Customer & Vendor Data Customer & Vendor Data Customer & Vendor Data Customer & Vendor Data 1 Address Change 2 Out of Business 3 New Tax Number 4 Legal Name Change
  6. 6. 6 What is Data Sharing ? Companies maintain non-competitive data together –higher data quality with less effort with sharing • community- sourcing • less efforts • faster updates Company A Customer & Vendor Data Company D Company B Company C Customer & Vendor Data Customer & Vendor Data Customer & Vendor Data Company A Company C Company B Shared Data Company D no sharing • silos • double work
  7. 7. 7 What makes CDQ stand out as DQaaS service provider? Value creation for our customers requires more than just a DQaaS platform Community DQaaS platform & Services Expertise Records in data pool Years of expertise in quality oriented data management 14 Processed customer records each week +5 Mio. +135 Mio. Partnerships (continuously expanded) +30 Partnerships Value-add Services 25 Business rules for business partner data (Best Practices) +1’700 Projects +180
  8. 8. 8 CDQ delivers services conveniently as a managed service Combining best cleansing tools with best data content Data quality Time insufficient analytics, process errors, higher risks Get Clean Get Clean Get Clean Data Quality Improvements Proactive Data Management • Initial clean-up A B A • Continuous monitoring of business partner data B Data Quality Monitoring Proactive Notifications Business Partner Updates Duplicate Identification Data Cleansing & Enrichment Data Validation & Correction Data Migration New Implementation Process Improvement M&A
  9. 9. 9 D&B (Premium) • Call against existing data (data mirror) -> avoid creating duplicates First Time Right Process in MDG-S Comprehensive approach to ensure correct business partner master data 2. Business Partner Lookup 1. Duplicate Check 3. Address verification 4. Data Validation • Combines reference data sources and builds a so- called CDQ Augmented Record Webcrawling (CDQ) LEI Register (Open Data) National Registers* (mainly Open Data) **USA: Selected states with open data availabilities **NDL: Separate (minor) subscription with register required **FinanzOnline and Bundeszentralamt für Steuern require company credentials Among others • In addition to legal references, global addresses can be verified (e.g. in case of branches, ship-to, natural persons, etc.) Address Data (Premium, contingent included) • Ultimate quality gate, ensures record quality on a global level regarding completeness, validity, correctness and consistence 1’700 Global Quality Rules (CDQ/Community) Compliance (Premium) EU – VAT Qualification** (Open Data) Data Sharing (Community) Bank Data (Premium)
  10. 10. 10 CDQ – Data Quality as a Service Best data quality is enabled by CDQ’s data sharing community Data Sharing Community External Data Sources APIs Web Apps Data Maintenance Workflow Continuous Monitoring Data Quality Monitoring Proactive Notifications Business Partner Updates Business Partner Data Mirror of Business Partner Data CDQ Cloud Customer Duplicate Identification Data Cleansing & Enrichment Data Validation & Correction
  11. 11. 11 CDQ’s DQaaS automates Business Partner creation and updates to unleash new business value Manage data assets Acquire and create data Unify and maintain data Protect and retire data Discover and use data Decision-making Digital products and services Business processes Generate business value Generate revenues (top-line) Increase efficiency & reduce costs (bottom-line) Reduce risks and ensure compliance (risk mitigation) RAW DATA VALUE IN USE Data lifecycle V Q U VOLUME QUALITY USE DATA VALUE X X Data Quality Monitoring Proactive Notifications Business Partner Updates Duplicate Identification Data Cleansing & Enrichment Data Validation & Correction CDQ’s DQaaS Source: CC CDQ Research Report (2021) “The Data Value Formula – Three keys to unlock your data´s full potential” Enable Digitalization Maximize process speed Failure reduction Data based decision making Know your Business Partner Reduce legal risks
  12. 12. 12 Questions & Answers
  13. 13. 13 +45 20 11 27 03 Business Development Manager Peter Ertl peter.ertl@cdq.ch +49 152 217 340 56 Head of Community and Innovation Dr. Tobias Pentek tobias.pentek@cdq.ch

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Weitere Infos: https://www.ibsolution.com/sap-mdg-summit-2021 Datenqualität als Service: Automatisierte Datenqualität in SAP MDG - Maximieren Sie den Wert Ihrer Business Partner Daten Erfahren Sie, warum Daten einen Wert für jedes Unternehmen darstellen, was die Werttreiben sind und wie jeder mit Datenqualität als Service mehr Wert aus seinen Daten erzeugen. Zusätzlich erfahren Sie, wie Datenqualität als Service im Kontext von SAP MDG integriert werden kann.

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