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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
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
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.
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
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
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
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
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
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
Examples
info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 10
Demo 1: Ad-Hoc Analytics
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
(…)
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
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
Examples
info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 14
Demo 2: CCM Analytics
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
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
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
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
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

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

  • 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. 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. 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. 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. 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. 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. 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. 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. 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. Examples info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 10 Demo 1: Ad-Hoc Analytics
  • 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. 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. 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. Examples info@dab-europe.comdab: Daten - Analysen & Beratung GmbH 14 Demo 2: CCM Analytics
  • 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. 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. 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. 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. 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