sap presentation unleash the power of big data with the sap hana platform

© 2016 SAP SE or an SAP affiliate company. All rights reserved. 1

Unleash the Power of Big Data with theSAP HANA PlatformBig Data, Big Challenges, and Big Opportunities

Greg Wong, Director AnalyticsCentre of Excellence, SAP Greater China


Technology Priority for CIO in 2016

Rank Investment Priority1 BI/analytics2 Cloud3 Mobile4 Digitalization/digital marketing5 Infrastructure Data Centre6 ERP7 Security8 Industry-specific applications9 CRM

10 Networking, voice and data comms


The 5 Most Important Technologies to Insurance CEOs

Top 10 BI Trends in 2016 %

1. Data & analytics 79%

2. CRM 76%

3. Social media communications and engagement 58%

4. Personal data security 50%

5. Web-enabled collaboration tools 49%http://www.insurancenetworking.com/ (2016-Feb-26)


Six Business Intelligence Predictions For 2016

¡ Prediction 1: The big bang you hear is the explosion of innovation.

¡ Prediction 2: We must adapt or die.

¡ Prediction 3: Whose BI will you buy?

¡ Prediction 4: Enough about data – where’s the information?

¡ Prediction 5: Death by desktop

¡ Prediction 6: We’ll see just as many CDO’s hired as fired!

http://www.forbes.com/sites/groupthink/2015/12/17/six-business-intelligence-predictions-for-2016/#489140ec4f83


Business Value of an Integrated and Fully Evolved BI Solution


Business Value of an Integrated and Fully Evolved BI Solution

Lower BI expenditures

Companies that consolidate multiple BItools into a standardized andenterprise-wide portfolio, have 36%lower BI expenditures

36%More timely information

Companies that have enhancedbusiness user access to information,have 10% more timely information tocreate actionable insights

10%

Companies with flexible informationsystems have 24% higher usage ofbusiness intelligence to manage in theirbusiness processes

24%Higher usage More ROI

10x 1

13.01Greater than

7© 2016 SAP SE or an SAP affiliate company. All rights reserved.

A Shift Is Occurring: Non-Data ScientistsAre Getting Involved

Who in your organizationanalyzes data using advancedanalytics (predictive, text,Web analytics)?

Who in your organizationanalyzes data using advancedanalytics (predictive, text,Web analytics)?

BusinessAnalysts

DataScientists

BusinessUsers

75%

56%

50%

Source: TDWI; 2016


https://www.youtube.com/watch?v=ofq7ygnWpbw


Types of Business Problems Solved with Predictive

¡ PredictiveMaintenance

¡ Load Forecasting¡ Inventory/demand

Optimization¡ Product

Recommendation¡ Price Optimization¡ Manufacturing

Process Opt.¡ Quality Management¡ Yield Management

Operations

¡ Fraud and AbuseDetection

¡ Claim Analysis¡ Collection and

Delinquency¡ Credit Scoring¡ Operational Risk

Modeling¡ Crime Threat¡ Revenue and Loss

Analysis

Fraudand Risk

¡ Cash Flow andForecasting

¡ BudgetingSimulation

¡ Profitability andMargin Analysis

¡ Financial RiskModeling

¡ Employee RetentionModeling

¡ Succession Planning

Financeand HR

¡ Life Sciences¡ Health Care¡ Media¡ High Education¡ Public Sector/

Social Sciences¡ Construction and

Mining¡ Travel and

Hospitality¡ Big Data and IoT

Others

¡ Churn Reduction¡ Customer

Acquisition¡ Lead Scoring¡ Product

Recommendation¡ Campaign

Optimization¡ Customer

Segmentation¡ Next Best Offer/

Action

Sales andMarketing

Applying Predictive to Real Business Problems


Digital Transformation changes key aspects of the Rail Business

DIGITIAL CUSTOMERENGAGEMENT¡ Reservation & ticketing¡ Omni Channel¡ Personalized engagement¡ Dynamic pricing¡ Social engagement

INTELLIGENT OPERATIONS¡ Transportation Management¡ Timetable Recovery¡ Service Level Management¡ Fuel Management¡ Yard Management¡ Networked Logistics

PROACTIVE SAFETY ANDMAINTENANCE¡ Asset Management¡ Predictive Maintenance¡ Internet Of Things

CONNECTED & ENGAGEDWORKFORCE¡ Tracking and Reporting¡ Self Service¡ Expense Management¡ Mobile Instructions¡ Contingent labour

DIGITAL MANUFACTURING¡ Connected Manufacturing¡ Predictive Quality¡ Machine Data Management

REAL TIME FINANCIAL& OPERATIONAL

INSIGHTS


LOSTREVENUE

LOSTREVENUE

The Cost of Neglecting Predictive Analytics

BIG DATAGIVESSHOPPERSFASHIONADVICE TOFIT THEIRSTYLE

¡ Digital Catalog (estimated savings $ 1.5 + million)

¡ Customer Services: 360 degree view of each customer

¡ Purchase history

¡ Automatic suggestion of products, styles, colors, etc.

¡ Real-time inventory information (retailer, outlet anddepartment store)

¡ Giorgio Armani S.p.A. is an Italian fashion house foundedby Giorgio Armani which designs, manufactures, distributesand retails couture, ready-to-wear leather goods, shoes,watches, jewellery, accessories, eyewear, cosmetics andhome interiors.

¡ The brand markets these products under several labels,from the most expensive to the most accessible – ArmaniPrive, Giorgio Armani, Emporio Armani, Armani Collezioni,AJ | Armani Jeans, AX | Armani Exchange.

¡ Armani have used SAP Predictive Analytic to develop:

¡ Up and Cross-sell models for product recommendation forcustomers – classification models for productrecommendations (e.g. Armani clothing, accessories,jewellery, leather goods, perfume, jeans, etc)

¡ Customer segmentation – behavior and value ofsegmentations

PREDICTIVEHELP ARMANITO DELIVERBETTERSERVICES TOTHEIR LOYALCUSTOMERS


A B C

SAPAnalyticsSolutions

SAPAnalyticsSolutions

Better Decision Making

Understanding Customers

Improving Performance

Driving New Revenues

Acting in Real Time

Why Now?


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