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Data and Analytics: What Your Data Is Telling You and Why It's Worth Listening

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Data and Analytics: What Your Data Is Telling You and Why It's Worth Listening

  1. 1. Data and Analytics: What Your Data Is Telling You and Why It's Worth Listening Clément Celier, SAP Ariba / October 26, 2016
  2. 2. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 2Public Living in a digital economy Last two years 90% Of the world’s data has been generated Last two years 40% Growth in adoption of business networks Since 2014 >50% Of workloads processed in the cloud Science Daily Ardent Partners 212 bn End of 2020 “Things” will be connected IDC. By 2020 9 bn Mobile users in the world Statista Cisco Systems Inc.
  3. 3. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 3Public 3 Unprecedented explosion of data “… high-volume, high- velocity and high- variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.” Size of total data Enterprise-managed data Enterprise-created data 2020: More than one-third of the data produced will live in or pass through the cloud
  4. 4. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 4Public From big to smart Volume Velocity Variety Value ?Three Vs of Big Data
  5. 5. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 5Public Infinite opportunities for first movers Impact on profitability Market valuation Early adopters are winning! In the next 10 years, 40% of the S&P 500 will no longer exist if they do not keep up with these technology trends. CapGemini and MIT Sloan Revenue creation 9%+ 26%+ 12%+
  6. 6. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 6Public Impacts the way smart businesses run From process driven to data driven  Data as a means of growth  Opportunity and risks spotted quickly  Hypothesis over assumption  Decisions based on analytics  Constant experimentation Business value Data Real time Foresight Prescriptive Process Batch Hindsight Descriptive Yesterday Today Intermediation, push, products, mass market Disintermediation, pull, service and usage and experience, segment of one PROCESS PATTERN Analytics implication: static predefined aggregates Analytics implication: dynamic, on-the-fly aggregation Process driven Data driven
  7. 7. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 7Public© 2014 SAP AG or an SAP affiliate company. All rights reserved. 7Customer Implications for procurement? Performance benchmarking and process mining CPO dashboarding Data science/data mining 360-degree view into end-to-end spend management Procurement excellence Business partnership/digital transformation
  8. 8. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 8Public© 2014 SAP AG or an SAP affiliate company. All rights reserved. 8Customer Implications for procurement? Performance benchmarking and process mining CPO dashboarding Data science/data mining 360-degree view into end-to-end spend management Procurement excellence Business partnership/digital transformation
  9. 9. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 9Public CPO dashboard  360-degree view across procurement and beyond  Tailored to your specific needs, on top of existing SAP Ariba analytics solutions  Gathering data from multiple internal and external sources  Allowing on-the-fly ad hoc questions, root-cause analysis, and simulation  Real-time and predictive  Intuitive visual and mobile
  10. 10. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 10Public Short iPad demo
  11. 11. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 11Public From process driven to data driven  Use of data as a means of growth  Opportunities and risks spotted quickly  Hypothesis over assumption  Decisions based on analytics  Constant experimentation Which business benefits ?
  12. 12. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 12Public© 2014 SAP AG or an SAP affiliate company. All rights reserved. 12Customer Implications for procurement? Performance benchmarking and process mining CPO dashboarding Data science/data mining 360-degree view into end-to-end spend management Procurement excellence Business partnership/digital transformation
  13. 13. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 13Public Benchmarking – SAP Ariba + SAP 18,000+ participants 50+ business process assessments 3,000+ KPIs on demand analytics Customer benchmarking Prospect benchmarking
  14. 14. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 14Public Value lever framework Value levers Savings levers Key metrics Cash management  Discount capture – on prenegotiated discounts  Discount capture – net new discounts  Days payable outstanding (DPO) extension Percentage spend under discount Process efficiency  Purchase order processing  Invoice receipt and processing Invoices per FTE Spend compliance  User (spec and vendor) compliance  Supplier compliance  Accounts payable error reduction Percentage of spend under management Price reduction  Sourcing savings – unit price reduction  Sourcing savings – increased spend capture  Tactical sourcing savings  Continuous improvement Average annual sourcing savings
  15. 15. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 15Public Typical results: performance analysis
  16. 16. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 16Public Early findings : SAP Ariba solutions versus non-SAP Ariba solutions Increase in efficiency for POs processed per FTE when using SAP Ariba solution 60% Lower FTEs in procurement per billion of spend when using SAP Ariba procurement solution 58% Higher savings for customer when leveraging SAP Ariba sourcing solution to drive unit price reduction 97% Faster processing of user requisitions to purchase orders when using SAP Ariba solution 72%
  17. 17. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 17Public Early findings: SAP Ariba solutions versus non-SAP Ariba solutions • SAP Ariba clients have lower total procurement of an average of $1.3M per $B in spend. • Best-in-class SAP Ariba clients address 94% of spend and play a more strategic role within the organization.  Best-in-class SAP Ariba clients manage 2X more sourcing spend  SAP Ariba clients with formal RFX and quotation process have 41% fewer sourcing FTEs per $B in spend • Organizations that have self-service and workflow tools save €200K per €Bn in spend • SAP Ariba clients have 30% lower maverick spend • SAP Ariba e-invoicing clients process 70% more invoices per FTE • Best-in-class SAP Ariba clients have 3x more spend under discount Source Procure Settle
  18. 18. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 18Public Process mining with Celonis  Every action leaves a digital trace in the IT-Systems  Celonis algorithms find these digital traces…  ....puzzle them together  …and reconstruct the actual process. Procurement system Process database (SAP HANA) Import Analysis
  19. 19. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 19Public Short video
  20. 20. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 20Public
  21. 21. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 21Public Value created by process mining Efficiency  Decrease bottlenecks and inefficiencies  Up to 15% cost reduction  Establish a continuous process improvement  Benchmark locations, departments, and so on Compliance  Check for fraud patterns  Detect process violations  Decrease length and costs of audits  Monitor if corrective actions are effective Process transparency  See the actual as-is process  Down to a single process instance  Intuitive visualization  Real-time monitoring, immediate insights
  22. 22. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 22Public© 2014 SAP AG or an SAP affiliate company. All rights reserved. 22Customer Implications for procurement? Performance benchmarking and process mining CPO dashboarding Data science/data mining 360-degree view into end-to-end spend management Procurement excellence Business partnership/digital transformation
  23. 23. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 23Public The opportunity 1. Technology – Enables organizations to capture, mine, link, and look for patterns in procurement data to deliver valuable insights across the end-to- end process (SAP HANA Cloud Platform, SAP BusinessObjects Cloud) 2. Data science – With all the data out there, data scientists are becoming part of many organizations and are viewed as assets to be leveraged by cunning procurement groups to help on both the cost front and the growth front. 3. Supplier relationships – Once viewed only as adversaries at the negotiation table, supplier partners are now viewed by many mature procurement organizations as an avenue of growth.
  24. 24. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 24Public  Spend analysis and supplier performance  Category, catalog, contract management optimization  Compliance and risk management; noncompliant buying behavior  Service level management  Matching supply and demand patterns  Procurement intelligence and advisory services (forecasting asset usage, predictive maintenance, energy consumption)  Procurement to finance (working capital, fixed asset, MRO) – margin analysis  Procurement to sales and marketing – matching campaign to purchase  Data monetization Data mining ideas in procurement Procurement as a value adding business partner, driving more supplier co-innovation
  25. 25. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 25Public Data mining value proof point Financial value creation ROI and TCO – value model Co-innovation Digital prototype Value proof point Business transformation drivers Why and what – maturity assessment Architecture and digital road map How and when – from as-is to to-be SAP data scientists Network value engineers Data sources: Internal, external, structured, unstructured, business network data Technology: SAP BusinessObjects Cloud + SAP HANA Cloud Platform + Ariba Network 30 to 90 days
  26. 26. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 26Public Infinite opportunities for first movers Don’t wait!
  27. 27. © 2016 SAP SE or an SAP affiliate company. All rights reserved. 27Public Thank you! Clément Celier Clement.celier@sap.com

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