The dab:group @AM:DataConsult Business Assurance Series (English)

318 views

Published on

Read Mr. Stefan Wenig's (CEO of dab:Group) presentation at theAM:DataConsult Business Assurance Series.
A look at adhoc versus CCM approach for data analytics.

Published in: Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
318
On SlideShare
0
From Embeds
0
Number of Embeds
51
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

The dab:group @AM:DataConsult Business Assurance Series (English)

  1. 1. info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 1 Two data analytic approaches for SAP® data: CCM with Dashboard vs. Ad-Hoc Analytics ACL™ Business Assurance, Dortmund, 06. March 2014
  2. 2. dab: Daten – Analysen & Beratung GmbH References info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 2 dab: Daten- Analysen & Beratung GmbH  Specialists for data extraction and data analytics  Standardized audit routines for SAP©  Audit support, consulting & training for accountants and auditors
  3. 3. ACL™ Business Assurance – 06. March 2014, Dortmund info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 3 Integrated approach? Who How When What Where Continuous Controls Monitoring Ad-Hoc-Analyses vs. Disclaimer: Trademarks and logos of third-parties, like SAP® and ACL™ are only used to describe compatibility or visualize general business processes. All data used on these slides are only test data and are purely fictitious. Any resemblance to existing persons, companies, email addresses, or URLs is purely coincidental.
  4. 4. Who runs the analytics? info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 4 CCM  Result consumer: Business departments  Nicely formatted  Authorization concept needed  Maintained by centrally located specialists  No need for business travels  Backbone function because of their experience  IT-Know-How required (Data formats, SAP®, Databases) Ad-Hoc Analytics  Users: Data Analysts, often Auditors  Data analysts, decentrally located  Used across whole audit team  Different levels of Know-How  Individual preferences (ACL™, Acerno, Excel, etc.) + ! Integrated approach? Who How When What Where
  5. 5. How are the analytic routines being run? info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 5 CCM  A big parameter set is available with the target to perform the analytic „only once“ but regularly according to a certain schedule.  There is a strong link between the machine on which the analytics are performed and the ERP systems which contain the data („Online- Connection“)  Analytics usually are performed fully automated Ad-Hoc Analytics  Analytics must be customized on-site in a flexible and easy way.  Analytics are run „offline“ as well  There usually is a person who selects and triggers the analytics + ! Integrated Approach? Who How When What Where
  6. 6. When or how often are the analytics run? info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 6 CCM  Analytics are run regularly (Daily, weekly, monthly, etc.)  However: „Classic“ CCM does not (and is not intended to) do Real-Time-Analytics (for example preventing Duplicate Payments) Ad-Hoc Analytics  Analytics are done one time upfront when preparing an audit  For interview planning  For sanity checks  Analytics are repeated during an audit  Analyzing new aspects  Adjusting analytics based on new information and re-run them + ! Integrated Approach? Who How When What Where
  7. 7. What is being analyzed? info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 7 CCM  Analytics which are generally valid  Ongoing data access and export  Only new record  For specified intervals (e.g. weekly)  CCM content contains requirements of business departments and is often beyond the audit teams tasks and responsibilities. Ad-Hoc Analytics  Set of questions depends on the current audit (General vs. Process specific)  Data is used „one time“ according the scope  Bigger timeframe (1-3 full years)  Case-related download  Data must provide flexibility  Focus on Audit questions + ! Integrated Approach? Who How When What Where
  8. 8. info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 8 CCM  Organizational: Usually performed centrally  Technical: Big data as well as the connection to SAP® systems located at different places worldwide require a Client/Server solution Ad-Hoc Analytics  Organizational: Performed decentrally because of the need for on-site analyses (for example at the Auditees place)  Technical: Mobility needs to be ensured as the data often is on the auditors laptop or an encrypted hard drive. + ! Where(on) are the analytics run? Integrated Approach? Where How When What Who
  9. 9. info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 9 Integrated approach – Live Demo Audit Accounting Procurement Compliance Tax Integrated Approach? Where How When What Who
  10. 10. Examples info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 10 Demo 1: Ad-Hoc Analytics
  11. 11. Demo 1: Ad-Hoc Analysen - Architecture info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 11 EKKO, EKPO, LFA1, T161T, EKBE, MKPF, MSEG, RBKP, RSEG, BKPF, BSEG, BSID, BSAD, BSIK, BSAK, TBSLT, T003T, VBAK, VBAP, VBRK, VBRP, LIKP, LIPS, VBUK, VBPA, CDHDR, CDPOS, REGUH, REGUP, EBAN, EKKN, EKBN, T001, T001L, T001W, T023T, MARA, MBEW, MARC, MAKT, Rawdata Purchasing Documents Vendor FI documents Sales orders Customer FI documents Basetables CpD postings Manual payments No PO Discount No tax (…) Free goods Returns Credit limit changes No credit limit Cost vs net value (…) Credit notes Open items Discount CpD Reverse Docs (…) Ad-HocAnalytics Splits No requisition Invoice amount SoD Evergreen POs (…)
  12. 12. Demo 1: Ad-Hoc analyses info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 12  Data is getting analyzed locally  There is a base table containing all information  Analyst can pick any analytic step totally flexible  Filters are getting adjusted depending on the current context  Aggregating the data is done Ad-hoc as well
  13. 13. Demo 1: Ad-Hoc analyses info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 13 1. Base table with all information 2. Ad-Hoc Analytics, Filtering 3. Aggregating data
  14. 14. Examples info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 14 Demo 2: CCM Analytics
  15. 15. Demo 2: Continuous Controls Monitoring info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 15  Analytics are scheduled centrally (e.g. on a monthly bases)  Results are distributed and shared with different entities and departments, in data formats that fits their needs  Dashboard  Microsoft Excel™  Exception Management  ACL™ or ACL™ AX
  16. 16. CCM: Monthly data export & Procurement analytics info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 16 1. Choose analytic set 2. Set parameters upfront 3. Schedule
  17. 17. CCM: Results in Dashboard, MS Excel™ or Exception Mgmnt info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 17 Risk heat maps Single KPIs Microsoft Excel™ Triggered by central component (AX Server) Browser-based Exception Management
  18. 18. Conclusion  CCM vs. Ad-Hoc: Different requirements  Technically  Operationally  Both require a clear commitment  Know-How  Resources and budget  Internal audit vs. Other departments: „Outsourcing“ makes sense.  Integrating both lines to a common logic is the most important, yet most challenging task. A step-by-step approach is recommended. info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 18
  19. 19. Danke für Ihr Interesse! CHANGING DATA INTO KNOWLEDGE Knowledge Data Results dab:GmbH Edlmairstraße 9 94469 Deggendorf Germany Phone: +49 (0)991 - 991 358 - 0 Fax: +49 (0)991 - 991 358 - 95 info@dab-GmbH.de www.dab-gmbh.de GeschäftsstelleBelgien Interleuvenlaan 62 3001, Heverlee Belgium Phone: +32 (16) 39 78 36 info@dab-europe.com www.dab-Europe.com info@dab-europe.com 19dab: Daten - Analysen & Beratung GmbH

×