Dynamic Planning & Forecasting w Big Data

1,802 views

Published on

My Presentation at Partner Summit this week in Bangalore on Dyanmic Planning & Forecasting w Big Data

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

  • Be the first to like this

No Downloads
Views
Total views
1,802
On SlideShare
0
From Embeds
0
Number of Embeds
63
Actions
Shares
0
Downloads
73
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide
  • HP:• HP had no central Expense Planning tool - BPC was implemented to replace a myriad of disparate systems including old version of Essbase and MS Excel• Impact of BPC is to reduce manual effort, elimiate spreadsheet use, improve speed and accuracy in expense planning• Huge amounts of data - BPC on HANA has impressed with significant speed improvements, pleasing both users and management at HP• Organization dimension has 1 million members and 14 properties, indicating size of data sets involvedColgate• Upgrade from existing v7.5 application, citing positive implementation/functionality benefits• V10 improvements to administration procedures, reporting capabilities and functionality• SAP HANA performance improvements - cited 20-25% improvement in reporting speeds and 50% improvement in calculation time• Lower TCO resulting from simplified admin/maintenance
  • Challenges with expense planningNo central toolLarge orgManual processesLack of linkage between processesLack of visibility into assumptionsBenefits of running BPC powered by HANASpeed of analysisReduction in spreadsheets and databasesMultiple levels of planning supportedAutomation and assumptionsProcess simplification
  • Many factors impacts the finance line items, some of them can be controlled by company, we call them “Internal Drivers”, like Labor Cost, Sales Price etc. Some of them are decided by external, so they are called “External drivers” like oil prices. These drives will directly or indirectly impact some finance line items or other drivers. E.g. Oil price may impact the units of the vehicle sold, which also indirectly impact the revenue. So these drivers’ value change, the financial result will change accordingly
  • By adopting the driver-based planning, user can build the connection between drivers and target plan and see how they impact each other.
  • Financial impact of strategic decisionsManage long-term financial healthSAP Strategic Financial Planning rapid-deployment solution ( New )Leveraging SAP Business Planning and Consolidation application, the SAP Strategic Financial Planning rapid-deployment solution allows customers to model and measure the long-term financial health of their organization.  This solution is available for both SAP NetWeaver (with and without HANA) and Microsoft Platform The solution enables a standardized strategic financial planning process, which consists of driver-based planning inputs that lead to the creation of an integrated set of key financial statements.The solution also enables customers to model one-time financial scenarios, including mergers, acquisitions, divestitures, and corporate restructuring, in addition to tracking key performance indicators (KPIs), bond rating, and competitor results in the same solution
  • We will continue to extend the capabilities within PCM to improve usability, integration and performance, and help reduce the cost of ownership.The capacity to modify the format of PCM multi-dimensional grids will be increased to allow Model builders and Book builders to customize grid cells with additional colors and fonts. This feature will significantly improve the ability to define the style of different cells types (including headers that were using the default system grey color). This will result in reports that better fit visual identity guidelines and advanced formatting requirementsA new screen will allow Model builders to view and debug all existing rules in the current model. It will be possible to define the context in which tests are run to let the user define on what dimension items the rule should be executed in test mode. The new screen will displaythe calculated values and the time taken to run the rule currently being examined. This will help troubleshoot bottlenecks in models with complex rules in order to optimize model calculation time and grids display time. Tighter integration between SAP ERP and SAP PCM will further reduce TCO and increase master data quality and consistency. Integration with back end data sources has already been extended in a recent SAP Financial Information Management service pack to allow import of dimension items into the PCM database. Additional FIM templates have been provided to allow master data load in PCM dimensions. This will be enriched by including native support for bill of materials data load from SAP ERP CO-PC (Controlling/Product Costing) and MM (Materials Management) modules. In order to provide a seamless user experience for the EPM user in Excel, we will enhance the SAP EPM Add-in for Microsoft Office to support direct data entry in Excel and write-back to the PCM application. This will result in a simpler environment to work with for end users who will be able to seamlessly input and retrieve data from PCM like they do today with BPC This will also reduce risks of copy-paste errors and save time by optimizing the data entry and what-if analysis workflow.Finally, we want to enable our customers to leverage the latest advances in high performance in-memory computing in order to maximize the business impact of their profitability calculation system. The plan is for PCM customers to be able to combine PCM results with other information in SAP HANA by enabling a tight integration with the Rapid Deployement Solution SAP Net Margin Analysis to combine data from PCM and SAP ERP CO-PA (Controlling/Profitability Analysis)Overview of ArchitectureIn this system landscape showing in Figure 1 there are 4 main layers that the data flows through:Data Sources: This stage represents the back-end systems that the SAP Net Margin Analysis uses as a source for data interface definitions. For master data and direct costs, the source system tables come from SAP CO-PA Accelerator using real-time replication from SAP Landscape Transformation (SAP LT). ,part of the SAP CO-PA Accelerator solution available for SAP HANA. The indirect costs are extracted from SAP BusinessObjects Profitability and Cost Management (SAP PCM) or any other 3rd party source system using SAP Data Services. NMA Staging and Data Layer: This area represents the physical data mart staging area that includes source interfaces (that map back to the source systems area), as well as the NMA SAP HANA schema directly supporting the dashboards and reports. Any transformations are done here. A key step where the configuration of the costs models is added in externally. As cost models differ from industry to industry and even between companies based upon their business requirements this step enables us to capture those specific configurations.Semantic Layer: The rich semantic layer includes object and data definitions, cross-area interfaces, visualization definitions, and business semantics that make up the logical application. Although mapping rules are included that map the logical application to the physical implementation, the principle of design isolation is realized in this area. In other words, the logical application is isolated from the physical implementations and is therefore isolated from changes to those areas.Presentation Layer: This area represents the primary delivery-to-consumer layer that includes the dashboards, reports, and Explorer Infospaces.
  • Potential M$ annual savings (lower effective tax rate -> net profit)More than 75% of the global trade takes place between related parties (i.e., MNCs, JVs and other alliances).Today: Excel and Access....Transfer Pricing is a term used to describe the tax compliance and planning aspects of intercompany pricing arrangements between related business entities, including:Tangible goods ;Services; Recharges of costIntangible property;Loans and other financing transactionsTransfer Pricing impacts multinationals’ operating models and business performance:Supply chain;Distribution channels;Intellectual property development and migration;Business financing;Effective Tax Rate;Earnings per share;SAP PCMCalculates your transfer pricing position (year end, true ups and the Group Effective Tax Rate) using the Group’s transfer pricing methodology;Provides visibility and access to real-time, global data on a product, transactional, country, regional and legal entity basis;Enables you to examine, test and manipulate all data using customised analytical tools targeted to our your business; andFacilitates planning and risk based scenario analysis on real-time, budgeted and forecast data.Multinational companies may pass goods or services between their legal entities, based in different countries where different rates of tax apply.The cost of those services and goods and how they are applied to the various legal entities will influence the total amount of tax paid by the corporate. Lower profits in high tax countries and higher profits in low tax countries means that the ‘effective’ tax rate for the corporate is lowered.It’s not that simple. Companies need to have transparent, auditable systems in place to demonstrate how they set the price and performed the distribution.It IS tax optimisation, but it’s NOT illegal if the (complex) guidelines are adhered to.Increasing scrutiny from national tax authorities, the EU, and OECDSome transactions will be automatically processed through ERP systems but many others are calculated retrospectively at month or quarter endThe distribution of cost / revenue from one legal entity to another requires a driver to reflect fair consumptionWe are working within a multidimensional framework - across geographies, legal entities, brands, products / servicesThere is a need to simulate the effect of:Tax changesMoving service providers across geographiesChanging consumption, sales volumes, etc.To illustrate SAP PCM’s capabilities, suppose a distribution entity (buying unit) purchases goods manufactured by another entity (selling unit) within a corporate group. To distribute these products, the buying unit may use marketing intangibles that were developed and owned by another legal entity. To fulfill its business needs, this distribution entity may also require support services, such as accounting or legal, from a related legal entity that is located in a separate tax jurisdiction. Using SAP PCM, the distributing entity could model alternative scenarios, the results of which could be used to determine transfer pricing adjustments. It could also use the application to address management fees (pertaining to services provided by headquarters or shared service centers) and royalties (pertaining to the license of intangible property, such as marketing intangibles). With SAP PCM, the distributing entity could allocate these different costs consistent with local jurisdiction requirements and bill the allocation on an inter-company basis. This ability to proactively monitor the transfer prices of various legal entities would allow the entity to avoid economic leakage by managing the legal requirements ofdifferent revenue authorities and paying the appropriate amount of tax. In addition, the distribution entity could use the SAPBusiness Planning and Consolidation application to participate in the sales and operations planning process as a means of defining inter-company transfer volumes. This application allows users to create what-if scenarios so they can test different transfer prices as needed toachieve the appropriate margin on a legal basis for the inter-company purchase and sale of tangible goods. This approach to integrated statutory, financial, and operational planning can be used to set prospective transfer prices. Actual results can subsequently be monitored and price adjustments made on an as-needed basis.
  • In this example: roughly save 2M (>4M+ tax vs 2.5M)Eff tax rate 15% instead of 27%
  • SAP EPM Unwired , now available on the Apple AppStore, is our new EPM Mobile application built on SAP BusinessObjects Mobile (MoBI) platform. SAP EPM Unwired is the mobile entry point into SAP EPM solutions like SAP Business Planning and Consolidation, enabling customers to not only consume data/reports but also input plan data on the fly anytime/anywhere. Because EPM Unwired is built on the MoBI framework, it also enables business users to seamlessly access BI and EPM content in one place further enhancing the value proposition for customers using both SAP Business Planning and Consolidation and SAP BusinessObjects BI solutions. SAP® Business Planning and Consolidation, starter kit for mobile Financial Results Insight (Financial Results Insight), available since July, enables customers to accelerate and secure the “last mile of finance”. With Financial Results Insight, CFOs are now able to track the most important indicators of their financial report anytime, anywhere on their mobile device, and ensure all key financial indicators are “green lighted” prior to financial statements being made available to external investors. This starter kit is part of the SAP Financial Close and Disclosure Management rapid-deployment solution that helps customers implement an end-to-end “last mile of finance” solution in less than 12 weeks.The SAP Strategic Financial Planning rapid-deployment solution, based on BPC 10 NW and MS, was released in August and allows you to model and measure the long-term financial health of your organization. The solution delivers a standardized strategic financial planning process, which consists of driver-based planning inputs that lead to the creation of an integrated set of key financial statements. The solution also enables you to model one-time financial scenarios, including mergers, acquisitions, divestitures, and corporate restructuring. Leveraging a core financial planning modeling engine, planners see the impact from key inputs on profit and loss, the balance sheet, and cash flow statements. The planners can also track key performance indicators (KPIs), bond rating, and competitor results in the same solution. The SAP Strategic Financial Planning rapid-deployment solution will help you model, measure, and guide the long-term financial health of your company.BPC 10 NW SP11 shipped on September 9th and contains a number of key enhancements leveraging SAP HANA including optimized dimension member formulas that will leverage the SAP HANA MDX engine, top down calculations to allow easy top down planning with pre-defined distribution methods and optimized allocations to accelerate common planning and consolidation type activities.PCM 10 SP07 was released in August and included a new grid style feature for advanced report formatting and a new advanced rules manager to examine, check and configure rules. Several performance improvements in loading and calculating Bill of Materials model types have been included.
  • SAP solutions for EPM offer the most comprehensive, easy to use innovative solutions on the marketComplete:Most complete suite of EPM solutions – everything integrated and from one vendor (one stop shop)Most integrated with SAP NetWeaver, SAP ERP, and Analytics - improves manageability and reduces cost of ownership (lower TCO)Most customers - recognized market-leading portfolio with over 10000 customers – more than any other vendor (lower risk)Easy (to use and deploy):Deploy on premise and/or in the cloud to meet the needs of your organization (increased flexibility)Out of the box industry and line of business content provides faster time to value (faster deployment)Mobile, web and Microsoft Office (Excel) interfaces for all types of users (increased adoption)Innovative:Analyze and act anytime/anywhere with mobile-ready apps for consuming information and inputting data on the fly (increased agility) Powered by SAP HANA for extreme performance allowing finance to better support the business (better performance)Predictive and big data ready for more accurate plans and forecasts on any data size (increased accuracy)
  • Dynamic Planning & Forecasting w Big Data

    1. 1. Dynamic Planning & Forecasting Partner Summit Atul Patel Vice President SAP Analytics SAP APJ
    2. 2. CFO’s continue to emphasize EPM as their top initiative for BI and Analytics Investment in Business Analytics Top Initiatives Today: Finance BI, analytics, performance mgmt 35 Integrated financial mgmt… BPM 23 17 29 18 11 24 18 Reconciliation mgmt apps 2 11 10 Cloud computing Performance measurement, scorecard, and … Financial reporting and consolidation Budgeting, planning and forecasting 54% 45% 43% Data warehouse GRC apps 3 8 8 On-demand apps/SaaS 14 35% Customer and product profitability 5 5 7 11 3 3 Big data 30% 22% Mobile technologies 3 6 6 Predicitive modeling 18% Disclosure Mgmt Solutions 23 5 Statistical analysis Social networking 3 3 16% Percentage of respondents Ranked 1st Ranked 2nd Ranked 3rd Source: Gartner. John Van Decker. Survey Analysis: CFOs' Top Imperatives From the 2013 Gartner FEI CFO Technology Study. May 2013
    3. 3. More Companies Choose SAP EPM  Largest EPM installed base (10,000+ customers)  Fastest growth of top 3 vendors (2010 – 2012 30%) Source: Worldwide Financial Performance and Strategy Management Applications 2013-2017 Forecast and 2012 Vendor Shares, doc #241220, June 2013
    4. 4. What the analysts have to say SAP rated as a “hot” vendor and awarded highest combined ranking across all categories for 3rd consecutive year – Ventana Value Index for FPM (2013) “SAP's customer reference scores were very good, near the top of the peer group” – Forrester Wave for FPM (Q3 2013) “SAP’s mobile capabilities stand out for the breadth of performance management capabilities made available on mobile devices and for the ability to enter data and complete processes via mobile device…… other vendors just had ready-only access to basic dashboards and static reporting” – Nucleus Research Technology Matrix for CPM (H1 2013) © 2011 SAP AG. All rights reserved. 4
    5. 5. Customer Momentum Big Deals TRM BPC/NW BFC, TRM BPC/NW PCM, BPC/NW BPC/MS, BFC BPC/NW, PCM Big Hyperion Wins Big HANA Success
    6. 6. EPM + HANA Success Customer Success Use Cases Sales, production, purchasin g planning SKU level planning Headcount planning Capital planning Sales forecasting Legal & financial consolidations OPEX planning Industries High Tech Oil & Gas Consumer Products Financial Services Energy
    7. 7. HP: Maximizing Performance with SAP® Business Planning and Consolidation powered by SAP HANA® Company Hewlett-Packard Company (HP) Headquarters Palo Alto, California Industry High tech Products and Services Computing equipment, services, software, and solutions Employees >300,000 Revenue US$120.4 billion Web Site www.hp.com Business challenges Eliminate use of disparate spreadsheets and Essbase cubes for global expense management (GEM) Automate processes and centralize GEM data as part of a multi-year project to centralize corporate planning and simulation Technical implementation Deployed the SAP® Business Planning and Consolidation application to run on HP AppSystems and the SAP HANA® platform and extended the application enterprise wide Deployed dimension with over one million members including hierarchies with no performance implications Ran the system on an HP converged infrastructure, including ProLiant servers 1 tool Providing centralized data, a common user interface, and standardized calculations 20% Reduction in time to create forecasts Key benefits Replaced a multitude of spreadsheets and decentralized legacy databases with one centralized tool Reduction in manual processes, time to consolidate data and ease in ability to create comparisons Increased flexibility and adoption in reporting ,via the EPM Add-In with users reporting off one single version of the truth “SAP understood what we were trying to do and together we made it happen. Before, everyone had a slightly different method to calculate average salary. We agreed on a standard way so everyone is using the same base assumptions. Having everything centralized and standardized speeds plan creation and validation. We wanted to prove that SAP Business Planning and Consolidation could scale to the enterprise, and now we know that on HP infrastructure it can.” James Mooney, Financial Planning and Simulation Program Manager, Hewlett-Packard Company (HP) © 2011 SAP AG. All rights reserved. 7
    8. 8. Improving Performance at the City of Boston About City of Boston  Location: Boston, Massachusetts Challenges and Opportunities  Improve tracking and internal reporting of performance Reporting of performance results to the city’s citizens  Industry: Local Government  Products and Services: Multiple City Departments  Employees: Approximately 8,000 Objectives  Web Site: www.cityofboston.gov   SAP Solutions and Services: SAP Strategy Management , Strategy Management iPad, CitizenInsight  Scope: Will be rolled out to all departments  Revenue: n/a  Why SAP?    Improve strategic planning and alignment of performance objectives and actions with goals Support city managers vision for performance management Report performance results to citizens    Implementation Highlights   “A successful City is one that delivers for its people. Through accountability and strategic focus, the BAR program ensures Boston is delivering on that promise” - Mayor Thomas M Menino © 2011 SAP AG. All rights reserved.  Strategy Management branded as BAR – Strategic Tracking and Reporting System Strategy Management iPad application is used for mobile monitoring and management of performance CitizenInsight will be made available (coming June 2012) to citizen’s of Boston area to view performance results Struggled with implementation and performance of competitor’s scorecarding solution Evaluated multiple solutions but felt SAP was easier to use, had better aesthetics and covered all key requirements including initiative management, operational reviews, scorecards and mobile capabilities Leverage SAP available City Management content to accelerate implementation Needed solution that offered strong mobile capabilities Benefits    Better understanding of and agreement on performance from the big picture down to the detailed plans Lowered overall TCO of their strategy management solution Improved accuracy, availability, and aesthetics of published performance results http://www.cityofboston.gov/bar/scorecard/r eader.html 8
    9. 9. Faster Simulation In Changing Market Conditions 400x faster reporting 4x faster data loads 3x faster ready for reporting
    10. 10. MOBILE TRANSFORMS FINANCE 10
    11. 11. Plan Anytime, Anywhere © 2013 SAP AG. All rights reserved. 12
    12. 12. Close Anytime, Anywhere © 2013 SAP AG. All rights reserved. 13
    13. 13. Citizen Insight © 2013 SAP AG. All rights reserved. 14
    14. 14. Citizen Insight © 2013 SAP AG. All rights reserved. 15
    15. 15. Store Insight © 2013 SAP AG. All rights reserved. 16
    16. 16. Store Insight © 2013 SAP AG. All rights reserved. 17
    17. 17. “The top improvement area for finance executives is improving capabilities for predictive analytics and simulations.” CFO.com Research 2013
    18. 18. The Flaw of Averages Plans based on average conditions are wrong on average © 2013 SAP AG. All rights reserved. 19
    19. 19. The New Planning © 2013 SAP AG. All rights reserved. 20
    20. 20. Integrate EPM and Predictive Analytics © 2013 SAP AG. All rights reserved. 21
    21. 21. Embed HANA Predictive Capabilities © 2013 SAP AG. All rights reserved. 22
    22. 22. Driver-based Planning Introduction Drivers behinds Financial Planning Financial Planning Report Factors may impact the report Labor Cost © 2013 SAP AG. All rights reserved. Units Sold Sale Price Steel Price Oil Price 23
    23. 23. Driver-based Planning Introduction Planning Process Build Driver Model Rule/Calculation Definition Driver Planning & Analysis  Identify key business drivers  Associate driver with target  Multi-dimensional Modeling  Data Entry  Define Formula Chain  Maintain Master Data  Build Report  Define Data Scope  What-if Analysis  Define Data Flow Time Driver1 Account  Forecast Impact Product Revenue Driver2 Entity © 2013 SAP AG. All rights reserved. Revenue = Sales Units × Price Maintenance Expense = Sales Amount × lookup( maintenance ratio ) Sales Labor Cost = Sales Unit × Salary Tax = ( Revenue – Expense ) × lookup(Tax Rate) 24
    24. 24. Driver-based Planning in BPC HANA Query request flow on BPC HANA EPM Excel Add-in BPC Backend HANA MDX Engine HANA Calculation Engine © 2013 SAP AG. All rights reserved. BPC Report Query Request MDX Calculation Model 25
    25. 25. Driver-based Planning in BPC HANA Single Model Approach – Calculation Definition Member Formula  Formula Chain: Nested Formula  Driver Reference – Unqualified Dimension: Tuple with dummy member  Rate Lookup – Member Property – IIF Rate Lookup Tuple Reference Nested Formula © 2013 SAP AG. All rights reserved. 26
    26. 26. Driver-based Planning Introduction Business Value Link plan with drivers Rapid Planning & Forecasting  Focus on LoB activity  Reduce planning cycle time  Reduce guesswork and do accurate forecasting © 2013 SAP AG. All rights reserved. Real-time Risk Analysis  Analyze impact from economic condition or event  React faster or make rapid decision based on analysis  Perform what-if Analysis 27
    27. 27. Driver-based Planning in BPC HANA Calculation Accelerated by HANA Native HANA Calculation BPC NW Server Parallelized Calculation C = A+B Set-Oriented Calculation F = D/E MDX Command G=F*C Cube Data H=F*J MDX/Calc. Engine HANA  No data transferred between HANA and application server  Native HANA MDX engine  Native HANA OLAP aggregation © 2013 SAP AG. All rights reserved. G=F*C  Compile calculation to HANA calculation scenario  Independent formula can be calculated in parallel  Can be optimized and parallelized by HANA  Less context switch between kernel and application 28
    28. 28. Driver based Planning Scenarios – How oil rates drive operating profit ? ABC Company Price Statement of Profit & Loss Revenues ……………$5,000 Cost of Goods sold ……………3,000 Gross Margin …………2,000 Headcount Oil Rates Maintenance ………………………400 Payroll……………………………300 SG&A ……………………………250 Transportation ……………………50 Operating Profit ……1,000 Interest Expense Net Income ……………50 ……………$950 Customers Product Region © 2013 SAP AG. All rights reserved. 29
    29. 29. Planning using SAP Predictive Analysis (using offline BPC data extracts)
    30. 30. Planning using SAP Predictive Analysis (using offline BPC data extracts) EPM Reporting BPC Model BPC BW BI Reporting ERP Transaction 1 5 HANA Tables supporting BPC model 2 4 SAP HANA 1. In the first set of exercises, you will create a flat file extract of BPC data 2. Import it into the SAP Predictive Analysis application 3. Execute predictive algorithms to generate a forecast 4. Export the results to a flat file 5. Import the results into BPC using BPC Data Manager SAP Predictive Analysis 3 © 2013 SAP AG. All rights reserved. 31
    31. 31. Planning using BPC and SAP HANA native functions executed within HANA
    32. 32. Planning using BPC and SAP HANA native functions executed within HANA EPM Reporting BPC Model BW BPC BPC Multi Provider 1 BI Reporting 4 ERP DSO containing generated forecast Transaction HANA Table supporting DSO model 3 Predictive functions from HANA AFL SAP HANA 2 HANA Tables supporting BPC model © 2013 SAP AG. All rights reserved. 1. Data Manager package executes ABAP function –or- write back BAdI triggers ABAP function automatically during any BPC model data save 2. ABAP function triggers predictive algorithm stored procedure in HANA 3. Forecast data generated by HANA procedure is stored in HANA BW schema table supporting a BW DSO 4. Forecast data in DSO joined with BPC model data using the system generated BPC multi provider 33
    33. 33. Strategic Financial Planning RDS - Go live in as little as 7 weeks -    © 2013 SAP AG. All rights reserved. Plan business drivers Full impact on  Profit & Loss  Balance Sheet  Cashflow Monitor KPIs  Financial  Bank covenants  Credit ratings 34
    34. 34. Rapid Deployment and Further Innovation   © 2012 SAP AG. All rights reserved. Prebuilt  Dashboards  Reports  Data extraction  Data models Planned  HANA for high performance acceleration 35
    35. 35. Optimize Transfer Pricing to Save Potential M$ > 75% of the global trade takes place between related parties © 2013 SAP AG. All rights reserved. 36
    36. 36. Optimize Transfer Pricing to Save Potential M$ © 2013 SAP AG. All rights reserved. 37
    37. 37. Transfer Pricing. Just Do It. © 2013 SAP AG. All rights reserved. 38
    38. 38. Recent releases • SAP EPM Unwired mobile app • SAP Business Planning and Consolidation, starter kit for SAP Financial Results Insight mobile app • SAP Strategic Financial Planning rapid-deployment solution (for use with the SAP Business Planning and Consolidation application) • SAP Business Planning and Consolidation 10.0, version for SAP NetWeaver SP11 • SAP Profitability and Cost Management application 10.0 SP07 © 2013 SAP AG. All rights reserved. 39
    39. 39. SAP’s differentiation Complete Easy  Get everything you need for performance management – integrated and from one vendor  Deploy on premise or in the cloud to meet the requirements of your organization  Improve operability and reduce cost of ownership with direct integration into the SAP NetWeaver technology platform, the SAP ERP application, and analytics solutions from SAP  Leverage industry and line-ofbusiness content to get up and running faster  Choose an industryrecognized, leading portfolio for reduced risk © 2013 SAP AG. All rights reserved.  Use simplified mobile, Web and Microsoft Office (Excel) interfaces to satisfy all user types instead of only a few Innovative  Analyze and act anytime and anywhere with mobile-ready apps for consuming information and inputting data on the fly  Make faster and better decisions by eliminating wait times through the power of the SAP HANA Platform  Improve planning and forecast accuracy on any data size with a platform that is predictive and Big Data-ready 40
    40. 40. 1. Invest in EPM 10 and beyond 2. HANA today, and more tomorrow 3. Leverage predictive analytics
    41. 41. THANK YOU Atul Patel Vice President, SAP Analytics SAP APJ

    ×