Nothing new totally revolutionary HOW AND WHY SAP HANA IS CHANGING INFORMATION MANAGEMENT

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1 Nothing new totally revolutionary HOW AND WHY SAP HANA IS CHANGING INFORMATION MANAGEMENT

2 In-memory revolution

3 Powerful trends driving increased demand for analytics Data volumes, velocity & variety Regulations Profitable growth New signals Hidden insight Technology capabilities

4 A burning issue

5 Tech trends 2014 Inspiring disruption

6 Tech trends 2014 snapshot Disruptors CIO as venture capitalist Enablers Technical debt reversal Cognitive analytics Social activation Industrialised crowdsourcing Cloud orchestration Digital engagement In-memory revolution Wearables Real-time developments Exponentials

7 Accessing Deloitte s tech trends 2014 Go to and type in Tech trends 2014 in the search box Go to the Apple app store and look for Deloitte under technology for your ipad

8 Innovation with SAP HANA

9 HANA is much more than a data base The convergence of analytics and operational processes HANA as a database an analytic engine a platform

10 The technology is cool, but what does it mean to the business?

11 Our Experience In-memory computing is not about incremental improvement It is about doing different things, and doing things differently

12 Why do business leaders care? Ease of integrating data from multiple sources Speed to deploy - speed to value Flexibility to meet changing business needs Enable mobile analytics The power to know in time to act

13 Examples of HANA use cases Supply chain Inventory management Pricing and margin management CAPEX analyses Out of stock analytics Sales & operations Transportation & logistics Predictive maintenance Point of service analytics Profitability analytics Trade promotion analytics Marketing campaign analytics Supply driven manufacturing Expense management Spend analytics Sensing & responding applications Situational awareness & alerts Sensor data analytics

14 Innovative solutions to real business problems Component lead time Government spend Media & entertainment Fraud & risk detection Financial analytics

15 Manufacturing/supply chain use case Inefficient supply chain and lead time management processes, leading to manufacturing delays, contract fulfillment issues and profit leakage Common situation Results Low customer satisfaction Poor return on investment performance improvement Finger pointing and blaming for issues Perpetual fire fighting Lower profitability

16 Lead time management solution Product example: Landing gear Deloitte solution HANA BOBJ Predictive analytics ( R ) Visual enterprise Product hierarchy details Pre-loaded ERP data Production completion transactions Part master details Total Records: >300,000 records Supplier PO transactions

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18 Experience the real solution: visit the Deloitte booth

19 Engineering change prediction and simulation Challenge areas The solution Value Customer expectations Identify target areas to reduce lifecycle cost Time Cost Connect data sources to focus on total lifecycle cost Analyse drivers of engineering change cost Predict cost, cycle time and volume of engineering changes Simulate the benefit of improvement strategies Improve program cost forecast through predictive models Predict total lifecycle cost impact of an engineering change Perform scenario analysis of improvement strategies Risk Improve decision making and prioritisation of work

20 Asset management predictive analytics

21 Asset management predictive analytics

22 Predictive analytics for recruiting Issue How long will it take to achieve their desired headcount? How can they profile high-quality candidates within their candidate pool? How much revenue would the recruits potentially bring to the company? Impact The solution provides workforce supply and demand details and modeling indicators allowing for the use of visual analytics to help formulate a recruitment strategy that helps achieve needs for workforce growth.

23 Realising performance improvement & cost reduction Chicago Toronto London New York Frankfurt Seoul Tokyo Hong Kong Singapore Sao Paulo Sydney Business hierarchies Counterparty hierarchies SAP HANA Limits Products Analytics reporting

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25 Contact and influence finder Client question: As a pursuit leader or business development manager how do I quickly and easily find the points of contact our organisation has into a potential client opportunity? Who are our organisation s key influencers with a client? Are there alumni from our organisation that could provide perspectives on a pursuit/opportunity? Are there personnel in our organisation that previously worked for a client?

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27 Training and development program analytics on HANA Sample Solution Snapshot Client question: As leaders in our talent development organisation how can I get quick answers about the delivery of learning to our people? What courses have been completed and by whom? How much elearning was taken and how is it trending over time? Up or down? Are there employees who have not met their required training level of 40 hours? What types of training are being offered? How are performing against our program budget?

28 Expense compliance & vendor analysis Client question: As an expense compliance analyst - how do I quickly and easily search and report on all corporate card expense transactions? Do we have employees using their corporate card at prohibited types of vendors? Do we have employees purchasing prohibited goods or services? Can I quickly and easily report on all corporate card transactions for any employee? Can I quickly and easily execute free-form text searches against all the unstructured comment and vendor data in corporate card transaction data?

29 Tax Jurisdiction Compliance Sample Solution Snapshot Client question: How do I ensure tax jurisdiction compliance for all the time/expense reporting of the professionals in the organisation? How do I ensure audit of 100% of the transactions? How do I account for complex business logic such as travel to a new tax jurisdiction at the end of a business day? How can I evaluate trends to determine whether efforts to improve compliance are working?

30 Real-time financial reporting and analytics on general ledger transaction detail Sample Solution Snapshot Client question: As a member of the finance organisation, I need to be able to quickly pull financial transactional details from the general ledger. I need the ability to create my own reports in response to leadership requests with quick, easy access to accurate financial data in a familiar tool. Can I get to the details faster? With the current process, I sometimes have to wait hours to get data. Can the views be customisable and personalised for my own needs? Can I use wildcard and fuzzy searches on nonstructured data? Do I have to learn another new tool?

31 Client profitability analytics Client question: As a project controller or business information analyst, how can I get to actionable insight from our data that will increase future profitability of the engagements, sectors, industries, or service areas/services lines that I support? What are common dimensions/drivers of higher-profitability and lower-profitability clients/engagements? How do different staffing mix or pricing decisions impact profitability? What are unexpected dimensions/drivers that impact client/engagement profitability?

32 Time entry data lookup Client question: As an employee entering time, how do I easily find out where to enter my time to without waiting for the lookup from my mobile device? How do I easily find out which WBS to enter my time to? How do I update my appropriate tax jurisdiction?

33 Lessons from the field: Innovation with SAP HANA enterprise Support multiple data sources Real-time data replication Store large data sets; transactional level detail High performance query execution Integration with advanced/predictive analytics Simplified modelling Ability to perform rapid analysis and multiple iterations Reduced development time and cost

34 Future implications of SAP HANA Every SAP customer will be implementing HANA at some time in the future Learn how in-memory-computing changes what you do and how you do it Understand business and IT implications Embrace new ways of designing, building and delivering Enable reengineering of business processes: the next wave of ERP

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36 Insight driven business processes - a paradigm shift Past approach IDBP based analytics Key executive information Operational Management information Management Operational information Exec After-the-fact reporting Score cards Dashboards Data warehouse Measure the process performance React to business events as they occur Predictive modeling/forecasting in real-time Embed analytics into business processes/transactions Does not depend on a data warehouse

37 What is the business driver for HANA as a platform? Customer Sales (CRM) Fulfillment (FC) Production (SCP) Logistics (SCE) Fin. Dept. (FIN) Controlling (BI) Creation purchase order Creation sales order fulfillment request Request global ATP Global ATP check 4 Creation & release delivery request 5 8 Delivery execution 6 9 Release ASN 7 Update inventory Accounting Update inventory Receives ASN Example: order to cash - sales order fulfillment process

38 Without insight It s a missed sale Will be back in inventory Not a key customer Extra effort costs $$$ Wait and see??? Questions and insights lead to real-time process improvements!

39 Insight driven business processes Sales propensity (Predictive analytics) Inventory forecast (Predictive modeling) Returns Per customer (Operational metrics) CLTV (Per order; at time of order entry) Customer/product profitability (Real-time analytics) P&l/B/S (On-demand)

40 New ways to deliver Design thinking Design not a phase; a way of thinking Agile development People expect results in weeks Accelerate, collaborate, iterate New methods & technologies Answer questions never answered before Discover important new questions

41 Guiding principles for success 1. Select a complex business issue 2. Deliver tangible value / impact / ROI 3. Develop new capabilities iteratively Attack difficult business questions Expect value from pilots Prove technology in business context Demonstrate new methods of working

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