Pilotage & Performance 2011 - english
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The document discusses advancements in Business Intelligence (BI) and Enterprise Performance Management (EPM), highlighting the importance of data governance, collaboration in decision-making, and the integration of big data. It emphasizes the need for innovative approaches to align BI initiatives with business needs and improve performance across various sectors. Additionally, it explores market trends and statistics, indicating a growing demand for agile BI solutions that empower stakeholders and enhance data management capabilities.
Pilotage & Performance 2011 - english
- 1. 9 Novembre 2011, Paris, Pavillon Gabriel Gad Benchimol (BI and PM practice director, Business & Decision) and Jean-Michel Franco (innovation director, Business & Decision). Business Intelligence & Enterprise Performance Management: replaying the match
- 2. Business & Decision Is a global consulting and system integrator Revenue 2010 : 237 M€ 2 Multi-specialist2 800 Employees 19 countries BI EPM CRMEIM E-bus
- 3. Business Intelligence and Enterprise Performance Management @ Business & Decision 3 EIM MDM ECM Dématérialisation …… …… …… EPM DWHE APPLICATIONS MEASURE ACT ANALYZE BI / EPM DECIDE Sales & Marketing H.R. Finance Purchasing Logistics Risks Manage Forecast Legal and Management Financial Consolidation Legal & Mgt reporting Stakeholder relationship Management Management by objectives Profitability Management, Revenue Performance Management Big Data Data Warehouses/Data Marts Data Model Real Time BI Data Governance Master Data Management STRAGEGIZE SIMULER PLAN GOVERN CAPTURE CONSUME ORGANIZE DISTRIBUTE …… mobile BI Data Visualization Ad Hoc analytics Predictive analysis Data Discovery Dashboard Agile BI Collaborative BI DISCOVER PREDICT ANALYZE SHARE PUBLISH ALERT
- 4. Recognized expertise by independent industry analysts 4 coming soon: Gartner Market scope for BI and Performance Management Service Providers • “Magic Quadrant for Global Business Intelligence and Performance Management Service Providers,”. 2009 & 2011 Gartner • “2010 BI Service Provider Short-Listing Tool“ 2010 and 2011 Forrester •“Business Intelligence Service Vendor Guide” 2011 Gartner
- 5. Do you know what is the Sabermetrics in your business ? 5 (*) Moneyball: The Art of Winning an Unfair Game is a book about the Oakland Athletics baseball team and its general manager Billy Beane. Its focus is the team's modernized, analytical, sabermetric approach to assembling a competitive baseball team, despite Oakland's disadvantaged revenue situation. *Sources : wikipedia
- 6. Business Intelligence, Where are we now? Growth 2010 Share of EPM and Analytics within the BI Market Share of market of the BI(g)5 (IBM, MS, Oracle, SAS, SAP) 69% of companies have BI standards Of growth for Data Discovery -> 1 MM$ in 2013 +13 % 36% 72% 69% +30% A 10 MM$ market, steadily growing no matter the economic conditions At the crossroad of platforms and ent. software, of business and IT But still a strong appetite for « best of breed » solutions But minority of BI initiatives are considered very successful (26%) with significant business impact (34%) A market that is driven by innovation, open to reinvent itself anytime. 6 *Sources : Gartner, BI Scorecard
- 7. Reinvent BI at its roots with respect to current business needs, best practices and available technologies “Big Data” Information Management beyond BI Foresee, plan, Monitor Collaborative Decisions Agile BI Last Mile of BI 7 Collect/federate/publish large volumes of “multi-structured” just-in- time data Information and Business Rules as a service across systems and processes Optimize and align business processes upstream, not only while executing Manage decisions as a collaborative process, share best decisioning practices Flexible approaches to design and roll out BI et allow user to autonomously leverage it Empower all stakeholders (customers, field, suppliers…) with decision services at the palm of their hands
- 8. Information Management : manage and nurture information assets beyond BI 8 • Conformed dimensions principles: common dimensions, attributes and hierarchies across data marts for cross domain analytics • A mature modeling approach Provide consistent information repositories across activities : a prerequisite for entreprise BI • A serious barrier towards BI success… • …that can’t be reached without alignment and shared engagement towards a well defined approach for data governance Data quality: a critical topic for both IT and lines of businesses • A master data repository, if defined as a shared service, gives more value to information across use cases: transactional/analytics, mapped to categorize structured/unstructured data Benefits benefits that go beyond the traditional scope of BI and EPM
- 9. Information Management beyond BI : applying to the office of the CFO Align on common goals and metrics despite silos Align local (empowerment) and (control) views Business needsBusiness challenges Consistency aross systems and organisations Optimized legal and Mgt consolidations Closing cycles minimized Anticipate merger and acquisitions, and organisational changes Measure the impacts Improve agility Adjust strategy to results Master compliancy Speed and time to take change into consideration Analyses with constant structures… Alignment of BI systems with current organizations and objectives Simulate impacts of new structures Traceability of events History of data and orgs versions Certification of results 9
- 10. 10 Decision management in the enterprise: An individual or team « sport » ? Some use case that turned into best practices : Forecasting and planning, product portfolio management, resource planning and allocation, spend and supplier management. Orchestrate the Collaborative process Facilitate sharing Organize the discussions • Creation of Decision rooms • Content sharing (analyzes, documents…) • Collaborative decisioning sessions management • Process traceability • Annotations • Discussion forums • Activity Streams • Social functions • Social Network Integration • Publish/Subscribe By 2013, 15% of BI initiatives will have a collaborative dimensions (Gartner)
- 11. 11 Some examples of collaborative processes Orchestrate the Collaborative process Facilitate sharing Organize the discussions
- 12. Strategize, plan, forecast, monitor Innovation in Enterprise Performance Management EPM innovation levers Managed speed Sharing & transparency Coordination and collaboration • Repositories across activities • Glossaries, KPI and rules frameworks • Control of publication and disclosure processes • Dynamic mastering • Adjustable and short cycles (budget, closing, forecasting) • Alignment of terms (short, long), of local and global • Provisioning of financial tools across the enterprise • Empowerment of each stakeholder to drive and mange his own performance • Coordination of strategy management processes and planning processes 12
- 13. Performance Management beyond finance Define Value Plan Monitor Ana- lyze Report 13 Purchasing Supply chain Marketing, sales, services Products Human resources Projects, IT Perfor- mance Risks & compli- ance Environ- ment •Supplier score carding •On-time Delivery •Resource optimization • On demand planning • Quality • Lead Mgt • Customer Segmentation • Territories, quotas, incentives • Revenue Performance management •Reporting SLA •Detailed costs & profitability •Pricing •Promotions Management •Cross selling, up-selling •Wages and incentive Management •Talent Management • Resources allocation • Succession plans • Project portfolio management • SLA monitoring •Working capital • IT Governance •Manufacturing risk •Frauds •Environment Reporting •Carbon footprint •Eco-efficiency -> Enterprise Performance Management processes -> Uses cases across activities
- 14. 14 Popularity Available information Big Data : the long tail of Information Management « Today, we sold more books that we didn’t sell yesterday than books that we also sold yesterday» (amazon.com, via Josh Petersen & Wikipedia) BI as we know it - information sourced from internal information system - information from the past (not the latest) - a priori information modeling BI as we would like it to be - BI as we know it - External information - « just in time » information - « unstructured » information - New information source regularly added
- 15. Example: Big Data in Life Sciences (medical devices) 15 Enterprise Semantic Model Performance Management and Decision support systems Transactional systems (Adverse Effects monitoring system) External data(web, social networks, partners) Internet of (every)thing « Unstructured » data Ad hoc Data marts Architected Data marts Operational BI and real time decisioning Automated decision (Rules and Complex event Processing) Master data and categorizations Metrics and KPIs Business Rules Information hub
- 16. 16 Last mile of BI BI as we would like it BI as we know it
- 17. 17 Example of last mile of BI (mint.com): a trusted advisor at the palm of your hands to manage personal finance
- 18. Agile BI, or how to reconcile local and global standpoints Information hub Business views Information consumption services Control Autonomy Sanctioned, self describing data, accessible as in Self Service Governance, traceability , continuous enrichment, reusable Architected Data Marts Ad-hoc data marts Ad-hoc data access Reporting factory, Planning & forecasting, sandbox : internal (sanctioned and unsanctioned) and external information sourcing 18
- 19. Market: Consolidators well established, specialists still growing if fueled by innovation … and some disruptors aspiring for a shake-out Consolidators Disruptors Specialists 19
- 20. “Rebooting BI”, how to align your Business Intelligence initiatives to current business challenges 20 Project Portfolio Management Information governance Continuous improvement Delegation of roles & responsibilities closer to the lines of business BI / EPM Define and deliver with a well defined service catalog Define and deliver through SLAs Chose the right “shoring” model for each function Information management BI Roadmaps Performance management frameworks Adapt organizations with Center of Excellences BI Adapt methodo- logies for better flexibility and speed to deliver Reusable information models Core Models Template based analytics Agile methodologies Productize with the BI and EPM factory (re)define architecture (BI Platform, Information Management et Performance Management)