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Predictive Analytics Customer Successes

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Introduction

www.sap.com/predictive

Competing in today’s marketplace means using all types of data. Your organization can identify untapped opportunities and expose hidden risks buried inside Big Data and the Internet of Things – all in real time – with the power of predictive analytics. You can quickly build sophisticated predictive models to mine your data for the insights that will keep you ahead of the pack.

The instrumentation of nearly everything is creating a rising tide of data, both structured and unstructured. Every enterprise realizes data is a priceless strategic asset and a resource for competitive advantage. But data by itself is of little use.

No matter what business you’re in, your future success may depend on one thing: real-time predictive insight. Not just insight gleaned from standardized reports and data, but predictive insight buried in data from across your entire organization and beyond – data that you can use the very moment it’s created to help your business thrive.

Successful companies realize the potential of predictive analytics used across business processes, applications, and line-of-business solutions to sustain competitive advantage. Your organization can use SAP® Predictive Analytics* software to get insights that drive real-time understanding of the business, and confidently anticipate what comes next to guide better, more profitable, forward-looking decision making.

See the Future More Clearly with Predictive Analytics

*This offering combines functionality from two retired SAP offerings, SAP Predictive Analysis software and the SAP InfiniteInsight® solution.

a

Others Telecommunications Retail Banking | Insurance Media

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

http://www.sap.com/predictive















Organizations can no longer focus solely on delivering the best product or service. To succeed, they must uncover hidden customer, employee, vendor, and partner trends and insights; anticipate behavior and then take proactive actions; and empower the teams with intelligent next steps to exceed customer expectations. They must also create new offers that increase market share and profitability, develop and execute a customer-centric strategy, and target the right offers to the right customers through the best channels and at the most opportune time.

SAP Predictive Analytics allows your organization to achieve real-time insights that increase your under-standing of customer behavior, improve your response to customers, and deliver tangible business value – ultimately driving your profitability. SAP customers are already reaping the rewards: by reducing the time to transform information into insights and improving the quality of decisions based on those insights to drive higher profitability and growth. Why not join them?

Introduction

“Modeling made easy – thanks to SAP Predictive Analytics.”

Dr. Margaret Robins, Statistical Analyst, Data Analytics and Insight, Aviva plc

Achieve Real-Time Predictive Insight to Drive Success

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Others Telecommunications Retail Banking | Insurance Media


Telecommunications 06 Mobilink

14 Vodafone Netherlands

15 PT XL Axiata Tbk

Retail

Banking | Insurance

Media


By Industry

Others Introduction Telecommunications Retail Banking | Insurance Media

08 Cox Communications Inc.

10 Belgacom Group

12 Banglalink Digital Communications Ltd.

17 Groupe SAMSE

19 Grupo Merza

21 Dinos Cecile Co. Ltd.

22 Home Shopping Europe GmbH (HSE24)

24 American Automobile Association (AAA)

26 Aviva plc

28 mBank S.A

29 Monext SS

31 POCKET CARD Co. Ltd.

33 Thélem Assurances

35 Meredith Corporation

37 Skyrock.com

Others 39 Cooperativa Italiana di

Ristorazione S.C. (CIR food)

41 eBay Inc.

43 Tipp24.com

45 KAESER KOMPRESSOREN SE

47 VELUX A/S

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By Alphabetical Order a b c

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06 Mobilink

14 Vodafone Netherlands

15 PT XL Axiata Tbk

08 Cox Communications Inc.

10 Belgacom Group

12 Banglalink Digital Communications Ltd.

17 Groupe SAMSE

19 Grupo Merza

21 Dinos Cecile Co. Ltd.

22 Home Shopping Europe GmbH (HSE24)

24 American Automobile Association (AAA)

26 Aviva plc

28 mBank S.A

29 Monext SAS

31 POCKET CARD Co. Ltd.

33 Thélem Assurances

35 Meredith Corporation

37 Skyrock.com

39 Cooperativa Italiana di Ristorazione S.C. (CIR food)

41 eBay Inc.

43 Tipp24.com 45 KAESER KOMPRESSOREN SE

47 VELUX A/S



Mobilink Boosting Campaign Response Rates Up to 380%

with SAP Predictive Analytics Bringing people together through innovative communication solutions is how Mobilink aims to become Pakistan’s leading telecommunications provider. Faced with explosive market growth and fierce competition, the company needed to protect itself against customer churn by offering the right services to the right customers at the right time. That meant making sense of customer data from nearly 35 million subscribers and 200,000 retailers across 10,000 cities, towns, and villages using SAP Predictive

Analytics* software. Company Mobilink | Headquarters Islamabad, Pakistan | Industry Telecommunications | Products and Services Fixed line and wireless broadband communication services; data services | Employees 7,000 | Revenue US$1.1 billion

www.mobilinkgsm.com

*At the time of purchase, SAP Predictive Analytics was called the SAP InfiniteInsight solution, which did not include new functionality available since December 2014.

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http://www.mobilinkgsm.com/








Mobilink The company’s top objectives • Outpace the competition with a next-best-activity approach that offers the right

incentive to the right customers at the right time • Use Big Data and predictive analytics to build customer trust, improve loyalty,

decrease churn, and maintain profit margins

The resolution • Quickly deployed SAP Predictive Analytics software for its excellent predictive

capabilities, user-friendly interface, and compatibility with other solutions after reviewing options from other vendors like SAS and SPSS

• Built predictive models combined with clustering techniques and social network analysis of Big Data, gaining key insight into customer behavior

The key benefits • More-targeted and more-effective promotions and campaigns, increasing usage of

value-added services such as text messages, ringtones, and music • Lower attrition by predicting as well as preventing churn • Better insight into both large and small communities of interest, enabling viral marketing

in new segments to acquire new customers, boost adoption of new products and services, and reduce churn

8X Increase in uptake of customer retention offers, from 0.5% to about 4%, and at a fraction of the cost

380% Boost in campaign response rates, thanks to social network analysis

< 1 day To deploy new predictive models

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Company Cox Communications Inc. | Headquarters Atlanta, Georgia | Industry Telecommunications | Products and Services Cable entertainment and broadband services | Employees 50,000 | Revenue US$15 billion

www.cox.com

Cox Communications Supercharging Customer Relationships with SAP Predictive Analytics Software As the third-largest cable entertainment and broadband provider in the United States, Cox Communications pioneered the bundling of television, Web, and telephone services, allowing consumers to consolidate services with one provider. To help improve customer service and bring more people’s digital lives to life, Cox needed the technology to personalize offers for more than 6 million subscribers across 28 regions.

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http://www.cox.com

14% More products per customer household

28% Reduction in customer

churn rate

80% Reduction in model

creation time

42x Greater throughput for central analysts (from 40 to 1,680 predictive models annually)

Cox Communications The company’s top objectives • Build predictive models to help create personalized offers more quickly and

accurately for more than 6 million subscribers across 28 regions

• Double direct mail campaign conversions

The resolution • Deployed SAP Predictive Analytics software for predictive analytics,

including segmentation, classification, regression, and data aggregation • Streamlined market analysis company-wide through a central analytics team

covering all 28 regions

The key benefits • Scalable solution to support both short- and long-term marketing needs, including

predictive modeling for customer acquisitions, retention, lifetime valuation, and event-based marketing

• Precise, accurate, and fast polling of 10 million observations and 800 variables to identify customer-related issues, including propensity to purchase, likelihood of churn, and prospective credit risks

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More

information


http://www.sap.com/customer-testimonials/telecommunications/cox-communications.html

http://www.sap.com/customer-testimonials/telecommunications/cox-communications.html

Belgacom Group Delivering Next-Best Action Across All

Customer Channels with SAP Predictive Analytics Software For telephone, Internet, and television services, the people of Belgium rely on Belgacom. But in this highly competitive industry, the window of opportunity to introduce new products is narrow. With SAP® Predictive Analytics* software, Belgacom has automated data-mining tools that help it better understand customer needs and provide personalized service and campaigns across all channels. This means more satisfied customers staying

connected with Belgacom.

Company Belgacom Group | Headquarters Bruxelles, Belgium | Industry Telecommunications | Products and Services Fixed line, wireless, television, and Internet communication services | Employees 15,859 (2012) |

Revenue €6.4 million (2012) www.belgacom.com


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http://www.belgacom.com/










Belgacom Group Diving into Customer Data with SAP Predictive Analytics

Objectives • Use previously unseen customer insights to

reduce customer churn and identify new revenue opportunities

• Enhance churn detection, speed up deployment for predictive models, and identify revenue potential across the customer lifecycle

Why SAP • Proven record of expertise and success in the

telecommunications industry • Robust and accurate predictive modeling for

business and consumer relationships provided by SAP Predictive Analytics software

• Flexible and user-friendly solution that is accessible by both trained statisticians and business analysts

Benefits • Enables next-best-action marketing across all

channels, from call centers to the Web to retail stores • Optimizes interactions throughout the complete

customer relationship, revealing previously unseen customer insights

• Identifies market gaps, turning them into revenue • Increases customer satisfaction and reduces customer

churn • Raises return on marketing investments

• Accelerates modeling time from months to days

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Since 2005 Banglalink Digital Communications Ltd. has positioned itself as one of Bangladesh’s leading mobile phone operators by improving people’s lives through affordable telecommunication services. In order to bring mobile telecommunications to the masses, Banglalink used SAP Predictive Analytics* software. By building predictive

models, Banglalink is able to preserve valuable revenue by combating customer churn and improving the overall customer experience. Company Banglalink Digital Communications Ltd. | Headquarters Dhaka, Bangladesh | Industry Telecommunications | Products and Services Integrated telecommunication

services – voice and data services, traditional and broadband mobile, and fixed technologies | Employees 2,500 | Revenue US$550 million

www.banglalinkgsm.com

Banglalink Holding Revenue and Improving the Customer Experience


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http://www.banglalinkgsm.com/










Banglalink Objectives • Improve retention campaign results to combat

customer churn • Analyze Big Data coming from sources such as call

detail records, product subscriptions, voucher transactions, package conversions, and cell site locations

Why SAP • Supports intuitive building of predictive models, even

for users with little or no experience in data science or statistics

• Includes prepackaged predictive models and a predefined analytical data architecture to accelerate the time required to prepare analytical data, build predictive models, and deploy resulting scores into production

Benefits • Enabled a model to detect more than a quarter of

all future churners with only a 10% sample of the highest scores

• Deployed SAP Predictive Analytics software within five months

• Gained the tools to build and deploy predictive models in hours, as opposed to weeks or months

Future plans Integrate predictive models with the campaign management system to make subscribers the right offer at the right time across all customer-facing channels

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information


http://www.sap.com/customer-testimonials/telecommunications/banglalink.html

http://www.sap.com/customer-testimonials/telecommunications/vodafone.html

Vodafone Netherlands Targeting Customers with More-Relevant Offers

“Predictive analysis is important, because it enables

a company to make the most of its marketing spend. We use SAP Predictive Analytics to ensure that our

offers are more relevant to our customers, so we

don’t overcontact them.”

Viliah Overwater, Senior Modeling Analyst, Vodafone Netherlands Company Vodafone Netherlands | Headquarters Amsterdam, Netherlands | Industry Telecommunications | Products and Services Telecommunication services, including

postpay consumer and enterprise, fixed, prepay, and machine to machine

www.vodafone.nl

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information


http://www.sap.com/asset/detail.2014-02-feb.vodafone-netherlands-sap-infiniteinsight-ctv-mp4.html

http://www.vodafone.nl/













XL Doubling Marketing Campaign Take-Up Rate

with SAP Predictive Analytics Software

“We were able to execute highly targeted marketing campaigns powered by

predictive models built on SAP Predictive Analytics*. Since deployment, we’ve cut

attrition across the board by 8.2% and have grown our customer base by nearly

25%.”

Company PT XL Axiata Tbk | Headquarters Jakarta, Indonesia | Industry Telecommunications | Products and Services Mobile communications, broadband Internet, data communications, 3G services | Employees 2,000 | Revenue US$2.1 billion

Pradeep Kumar, General Manager of Customer Analytics, PT XL Axiata Tbk

www.xl.co.id


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http://www.xl.co.id/







200% Increase in campaign

conversion rate

28% Increase in prediction accuracy when

targeting social “influencers”

66.6% Reduction in attrition with highest-value subscribers and 8.2% reduction overall

25% Approximate growth in

customer base

102% Return on investment

XL Top objectives • Outpace the competition in a competitive and near-saturated market • Generate more-profitable customer relationships and improve retention and loyalty

Why SAP Predictive Analytics software • Predictive modeling to analyze data on over 40 million subscribers and determine

characteristics like product and churn propensity • Preferred over competing solutions and traditional retention and loyalty management

strategies because it is fast to deploy, user-friendly, and contributes to the agility of marketing operations

Key benefits • Ability to build predictive models in just a few hours • Matching of customer eligibility, inventory availability, and profitability to prioritize

offer presentations and deploy a next-best-activity solution • Campaign optimization to maximize retention, cross-sell, and up-sell across

marketing channels, increasing revenue and subscriber usage • Proactive identification and targeting of customers at risk of churning well

before the loss

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information


http://www.sap.com/customer-testimonials/telecommunications/axiata.html

http://www.sap.com/customer-testimonials/telecommunications/axiata.html

Groupe SAMSE Improving Marketing, Risk Prevention, and Inventory

Forecasting with SAP Predictive Analytics Software

Whether embarking on a major development project or fixing up a private home, contractors and do-it-yourself homeowners in France rely on tools, materials, and personalized advice from Groupe SAMSE. With SAP Predictive Analytics* software, Groupe SAMSE can build predictive models to analyze and use huge amounts of customer data gathered every day. With a 220% increase in marketing campaign

responses, Groupe SAMSE is clearly offering customers exactly what they need.

Company Groupe SAMSE | Headquarters Grenoble, France | Industry Retail |

Products and Services Distribution of building materials and tools | Employees 5,000 |

Revenue €1.138 million

www.groupe-samse.fr


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http://www.groupe-samse.fr/













Groupe SAMSE Objectives • Boost marketing campaign performance, risk

prevention, and inventory forecasting across 25 brands and 290 sales outlets

• Analyze terabytes of data on over 300,000 loyalty cardholders and 30,000 enterprise customers each day

• Build and analyze a 360-degree view of both business-to-business and business-to-customer relationships

• Update predictive models weekly, rather than monthly, to ensure timely predictions

Why SAP • Reusable and easily modifiable analytic records with

SAP Predictive Analytics software • Creation of predictive models that enable inventory

forecasting for over 75 product stock-keeping units and credit score analysis to predict the risk of customer nonpayment

Benefits • Response rate to direct marketing campaigns up

by 220% • Predictive models that require just a week, rather than

months, to update • Balance between systematic and flexible exploration

of daily data across group brands using predictive models

• Early-warning system for individual customer construction projects, enabling personalized product recommendations in near-real time across multiple customer-facing channels, including retail outlets, call centers, and sales

Future plans • Continue to grow the customer base through an

accurate understanding of customer behavior • Pursue a strategy of business improvement using the

latest in enterprise technology

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information


http://www.sap.com/customer-testimonials/wholesale-distribution/groupe_samse.html

http://www.sap.com/customer-testimonials/wholesale-distribution/groupe_samse.html

Grupo Merza Improving Wholesale and Retail Insights

with Analytics Solutions from SAP For groceries, beverages, pharmaceuticals, and more, Mexico counts on retail and wholesale giant Grupo Merza. Using the SAP HANA® platform, SAP Lumira® software, the SAP Sales Insights for Retail analytic application, and SAP Predictive Analytics* software, Grupo Merza is speeding business insight to better understand what drives customers, sales, and a growing bottom line.

Company Grupo Merza | Headquarters Michoacán, Mexico | Industries Retail and Wholesale Distribution | Products and Services Food and beverage distribution, transportation and logistics, and financial services | Employees 4,500

www.grupomerza.com

*At the time of purchase, SAP Predictive Analytics was called SAP Predictive Analysis software, which did not include new functionality available since December 2014.

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Others Introduction Telecommunications Banking | Insurance Media Retail


http://www.grupomerza.com/

Grupo Merza Objectives • Analytic insight with little IT support • Insight into market baskets across products, categories, and stores • Less risk in wholesale customer loans • Efficient, effective IT operations

40%–70% Faster processing of transactional data and report delivery with SAP HANA

1 scorecard To track on-time payments on customer credit with SAP Predictive Analytics

4 weeks To deploy SAP Lumira without consulting services

Resolution • Deployed SAP Lumira software for data access from any source and the SAP HANA

platform for real-time analysis • Deployed the SAP Sales Insights for Retail analytic application to gain point-of-sale

insight and SAP Predictive Analytics software to calculate loan risk • Completed the implementation project in eight weeks • Worked with SAP’s Data Science organization to define a retail analytics strategy,

optimize solutions, and train users

Benefits • Faster decisions with self-service data visualization • Deeper insight into how promotions and product assortment impact market baskets • Better loan policy for wholesale customers

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More

information


http://www.sap.com/bin/sapcom/en_us/downloadasset.2015-04-apr-10-22.grupo-merza-improving-wholesale-and-retail-insights-with-analytic-solutions-from-sap-pdf.bypassReg.html

http://www.sap.com/bin/sapcom/en_us/downloadasset.2015-04-apr-10-22.grupo-merza-improving-wholesale-and-retail-insights-with-analytic-solutions-from-sap-pdf.bypassReg.html

Dinos Cecile

Company Dinos Cecile Co. Ltd. | Headquarters Tokyo, Japan | Industry Retail | Products and Services Catalog and mail-order retailing | Employees 1,343 |

Revenue ¥12.19 billion (~US$ 1.12 billion)

www.dinos-cecile.co.jp

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http://www.dinos-cecile.co.jp/















http://go.sap.com/assetdetail/2014/09/c206e8a5-4a7c-0010-82c7-eda71af511fa.html



Company Home Shopping Europe GmbH (HSE24) | Headquarters Ismaning, Germany | Industry Retail | Products and Services Fashion, jewelry, beauty and home products |

Employees Approximately 2,900 (including external call center and logistics personnel) | Visitors €515 million (2012)

www.hse24.de

HSE24 Positively Influencing Customer Buying Behavior

with Better Analytics Software and SAP HANA

“We saw an opportunity with SAP HANA to influence our customers’ buying behavior

and reduce product return rates. Each year over 11.5 million HSE24 parcels are sent

out to 1.5 million customers. As a mail-order business, we estimate that decreasing

our return rate by only 1% could lead to a seven-digit euro savings on the bottom line.”

Michael Kuenzel, VP of IT, Home Shopping Europe GmbH (HSE24)

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http://www.hse24.de/









HSE24 The company’s top objectives • Become a world-class customer sales and service organization • Reduce customer mail-order returns • React to demand in real time

Real-time Aggregation of customer data that provides a complete view of every customer

Meaningful Customer interaction that is more powerful and effective

T argeted Marketing campaigns that focus on

unique customer segments

Relevant Offers that more accurately address customer demands

The resolution • Deployed SAP® Predictive Analytics* software and the SAP Audience

Discovery and Targeting analytic application powered by SAP HANA • Established a plan to migrate the SAP Customer Relationship Management

application to SAP HANA as the second phase of the SAP HANA implementation project

The key benefits • 360-degree view of customer information, helping ensure more focused,

targeted campaigns and customer interactions • Instant access to all customer data, enabling marketers to take appropriate

measures toward reducing return rates • Meaningful customer interactions, helping create offers that are relevant to

consumers and more accurately reflect unique demands

*At the time of purchase, SAP Predictive Analytics was called SAP Predictive Analysis software, which did not include new functionality available since December 2014.

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More

information


http://www.sap.com/customer-testimonials/retail/hse24.html

http://www.sap.com/customer-testimonials/retail/hse24.html

AAA Steering the Way to Better Customer Understanding

When getting behind the wheel, millions of Americans rely on the American Automobile Association (AAA) for travel assistance, insurance, and emergency towing. To optimize service from the 44 AAA motor clubs across the United States and Canada, the AAA

National Office assembled a centralized “action center” to provide better insight into member needs. With next-generation predictive analytics using SAP Predictive Analytics* software, AAA can get members what they need when they need it most. Company American Automobile Association (AAA) | Headquarters Orlando, Florida | Industry Insurance | Products and Services Roadside assistance; automotive, travel,

and financial services | Employees >40,000

www.aaa.com


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http://www.aaa.com/

http://www.aaa.com/

http://www.aaa.com/

http://www.aaa.com/

http://www.aaa.com/

http://www.aaa.com/

AAA Objectives • Optimize marketing insight across all stages of the

customer lifecycle • Provide a more powerful and centralized means of

analyzing customer information and optimizing marketing efforts across motor clubs

• Establish a cost-effective, easy-to-access approach to predictive analytics

Why SAP • Standard reporting features of SAP Predictive

Analytics software, including modeling results, variable contributions, and gain charts that club marketing teams can easily understand

• Ability to provide collective insight to clubs about members most likely to benefit from the association’s wide range of offerings

• Scalability of predictive models that can be managed by just two business analysts across multiple motor clubs

Benefits • Optimized marketing campaigns across channels

for nearly 70% of members • Enabled customized offers to fit individual member

interests and needs • Cut attrition and increased overall customer lifetime

value by extending targeted offers to members with low usage

• Earned millions of dollars in sales, thanks to optimized marketing campaigns for some clubs

Future plans • Boost usage of marketing services and predictive

models to 100% of motor clubs • Extend campaign personalization across social media

channels

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Aviva Customer Knowledge Through Predictive Analytics

Company Aviva plc | Headquarters London | Industry Insurance | Products and Services Life and general insurance | Customer Base 31.4 million customers in over

15 countries | Employees 27,700 worldwide | Operating Profit £2.05 billion (€2.5 billion)

www.aviva.co.uk


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Protecting around 31 million customers worldwide, Aviva is the United Kingdom’s largest insurer and one of Europe’s leading providers of life and general insurance and asset management. To gain the insight to target the

right customers with the right offers at the right time, Aviva uses SAP Predictive Analytics* software.


http://www.sap.com/germany/asset/detail.2014-08-aug.aviva-predictive-analytics-ctv-mp4.html

http://www.aviva.co.uk/













Aviva Objectives • Make use of predictive analytics to build propensity

models for individual customer groups rather than build generic models for all customers

• Avoid contacting customers too frequently, while also improving campaign response rates

• Increase return on marketing and campaign response rates by identifying customers most likely to respond

Why SAP • Charts that help marketing experts visualize the

anticipated business impact of models • Significantly better modeling automation that allows

many models to be built with ease • Automatic analysis of the individual contributions of

hundreds of variables to a model, rather than manual inspection of a limited number of variables

Benefits • Higher campaign response rates and enhanced

customer lifetime value through more-personalized offers

• Significant increase in the number of propensity models used within the company, with more than 30 models in production

• Ability to use the freshest data to keep models up-to-date and capture the latest trends

Future plans • Further improve return on marketing with uplift

modeling that predicts the impact of marketing activities on specific target groups

• Build predictive models to analyze customer acquisition and win-back

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More

information


http://www.sap.com/customer-testimonials/insurance/aviva.html

http://www.sap.com/customer-testimonials/insurance/aviva.html

mBank Providing Personalized Banking with Predictive Analytics

“Thanks to predictive analytics and data modeling, mBank can outstrip competitors, because we are able to find out what our customers will do in the future.” Jakub Synowiec, Direct Campaigns, Marketing Department, mBank S.A.

Company mBank S.A. | Headquarters Warsaw, Poland | Industry Banking | Products and Services Retail, corporate, and investment banking and other related

financial services

www.mbank.pl

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http://www.sap.com/asset/detail.2015-06-jun.mbank-sap-predictive-analytics-ctv-mp4.html

http://www.mbank.pl/



Monext Protecting Business and Consumers

from Online Fraud

“SAP Predictive Analytics* software will give us a real competitive advantage,

saving hundreds of millions of euros annually.”

Company Monext SAS | Headquarters Courbevoie, France | Industry Banking | Products and Services Payment and money card processing solutions and services |

Employees 480 | Revenue €67 million (2011)

www.monext.eu

Annabelle Gerard, Business Intelligence and Data Mining Analyst, Monext SAS


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http://www.monext.eu/








Monext Objectives • Reduce e-fraud for some of Europe’s largest

e-businesses, retailers, and banks • Replace an outsourced analytics solution that used

a generalized model to predict e-fraud • Decrease false alerts to improve the consumer

experience and reduce call center costs

Why SAP • Custom-tailored predictive modeling for each

unique card provider and card type, including credit, debit, prepaid, and luxury cards, available with SAP Predictive Analytics software

• Automated learning for rapid modeling, combined with a powerful and user-friendly interface

Benefits • Just one half-time analyst to build customized

models for each provider and card type • Reliable results in hours instead of days or weeks • Analysis of Big Data from hundreds of millions of

transactions, and up to 500 native and derived attributes used to evaluate electronic transactions in milliseconds

• Hundreds of millions of euros saved in potentially lost revenue annually for card providers, providing a real competitive advantage and greatly improving the consumer experience

Future plans • Further innovate to make payments even more

convenient and secure across all electronic channels • Continue to support and protect businesses and

consumers using SAP software technology

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information


http://www.sap.com/customer-testimonials/professional-services/monext-sas.html

http://www.sap.com/customer-testimonials/professional-services/monext-sas.html

POCKET CARD Doubling Revenue from Direct Mail Campaigns with SAP Predictive Analytics Software With SAP Predictive Analytics* software, POCKET CARD Co. Ltd. is taking advantage of the power of predictive analytics to better target customers for promotional campaigns. Analysts are able to build predictive models from millions of customer records and tens of millions of historical account transactions within a few hours. The result has been drastic increases in the success of telemarketing and direct mail campaigns, which means that more customers, new and old, are getting the financial services they need.

Company POCKET CARD Co. Ltd. | Headquarters Tokyo, Japan | Industry Banking | Products and Services Financial services, including credit card, loan, and insurance

agency services | Employees 350 | Revenue ¥34,174 million (US$312.8 million)

www.pocketcard.co.jp


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http://www.pocketcard.co.jp/

180% Boost in the sales conversion rate of telemarketing calls for insurance services

200% Increase in total revenue for targeted direct mail, compared with mailing to lists of nonactive cardholders compiled without models

400% Higher conversion for promotional campaigns for cash advance and revolving credit with preferential interest rates to new customers

POCKET CARD Objectives • Increase revenue by promoting cash advance services and revolving credit and

by streamlining marketing calls for affiliated insurance services • Reactivate nonactive existing cardholders and find a new customer base suitable

for specific services

Resolution • Adopted SAP Predictive Analytics software for predictive modeling and data

analysis to gain customer insight • Enabled data-driven customer segment targeting decisions for each campaign,

rather than relying solely on marketer experience • Enabled the analysis of enormous amounts of data such as monthly credit card

statements, outstanding loans, and repayments

Benefits • Allows analysts to simulate infinite scenarios and select the optimal models for their

business needs • Enables the building of predictive models from millions of customer records and

tens of millions of historical account transactions within a few hours

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information


http://www.sap.com/customer-testimonials/banking/pocketcard.html

http://www.sap.com/customer-testimonials/banking/pocketcard.html

Thélem Assurances Founding a Customer-Oriented Culture with SAP Predictive Analytics With SAP Predictive Analytics software, Thélem Assurances is redefining its marketing strategy based on customer profiles and behavior. This user-friendly tool has already helped general agents identify more customers among those most likely to subscribe to new products. It will also provide greater visibility to partners selling Thélem Assurances white-label products, resulting in greater retention and revenue across the board. Customers can trust Thélem Assurances to know them best. That is why they keep coming – and keep coming back.

Company Thélem Assurances | Headquarters Chécy, France | Industry Insurance | Products and Services Health, automobile, home, and accident insurance for individuals and professionals | Employees 413 | Agencies 272 | Revenue €297.76

million (2013)

www.thelem-assurances.fr 33 / 48



http://www.thelem-assurances.fr/




Thélem Assurances Objectives • Redefine marketing strategy based on customer

profiles and behavior • Implement a targeted marketing strategy for general

agents, using predictive analytics to model the wealth of customer data available

• Prevent customer churn by identifying and focusing on the customers with the highest potential to buy new products

Why SAP Predictive Analytics • Pragmatic, user-friendly software, allowing quick user

adoption and rollout • Ability to integrate with the existing IT infrastructure • Choice over competing solutions for its fast

implementation, as well as scoring and segmentation capabilities that can deliver quick results

Future plans • Expand the use of SAP Predictive Analytics software,

especially to identify potential online subscribers and increase Web sales

• Strengthen partnerships with companies selling Thélem Assurances white-label products by providing visibility into the behavior of joint customers

Benefits • Creation of new offers based on customer profiles • Time savings by targeting customers with the highest

propensity to subscribe to new contracts, with early results showing twice as many responses for the same number of customers than when no model was used, or a lift of 2

• Launch of a company-wide, customer-oriented, internal community to align on indicators, goals, and best practices

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Meredith Corporation Maximizing Opportunities with

SAP Predictive Analytics

With 21 household-name glossy magazines, 120 special-interest newsstand titles, 21 tablet editions on 6 digital newsstands, 15 TV stations, 40 revenue-generating Web sites, and a large marketing business built on what is the industry’s largest consumer database, Meredith Corporation is a publishing powerhouse serving 100 million American women every month. To better understand customer preferences, Meredith uses predictive analytics made

possible by SAP Predictive Analytics* software. Now campaigns are better targeted, making the right offers to the right subscribers and attracting new ones.

Company Meredith Corporation | Headquarters Des Moines, Iowa | Industry Media | Products and Services Cross-channel media and marketing geared toward serving

American women | Employees 3,600 (2014) | Revenue US$1.47 billion (2014)

www.meredith.com


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http://www.meredith.com/

20%–40% More e-mail–generated subscriptions

29%–50% Improvement in order rates

10 million Names for promotion output each week, on average

2 hours To implement predictive models, down from 20 hours

Meredith Corporation Objectives • Improve magazine circulation and maintain database marketing revenues • Generate more analytic models in less time with better results

Why SAP • Functionality to run direct in-database analytics, which are much faster and more

efficient with fewer errors • Capability to handle the largest database of any United States media company,

allowing over 531 million records to be scored each week for 65 million unique customers

Benefits • Fast implementation of predictive models, allowing faster reactions to changing

business conditions • Significant financial and performance gains • Results that improve the effectiveness of direct mail and e-mail campaigns, which

are both vital channels for attracting new subscribers • Help determining the next-best product offer • More titles promoted more regularly with campaigns that are better targeted and

informed, increasing revenue

30% Faster analytics processes

100 million Consumer records and over 4,500 data points analyzed from 30 data sources

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Skyrock.com Monetizing Social Networking

with SAP Predictive Analytics

When it comes to online content, people trust their friends to know what they will like. Offering its members a free, personal Web space to create blogs, add profiles, and exchange messages with other registered members, Skyrock.com is one of the fastest-growing social network sites in the world. But the company needed a way to use all that customer data and monetize its rapid growth. So it turned to SAP Predictive Analytics* software.

Company Skyrock.com | Headquarters Paris | Industry Media | Products and Services Social network, blog, and media sharing services | Employees 80 |

Visitors 12 million per month

www.skyrock.com


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http://www.skyrock.com/











20 Relevant friend recommendations sent to site members each morning

2x More friend requests and a corresponding increase in the acceptance rate

>600,000 New friend links each day

20,000 Distinct communities identified

Skyrock.com The company’s top objectives • Unlock Big Data sources for more-accurate predictions and personalized

recommendations on products, friends, and content

• Improve site stickiness and social engagement • Increase page views per visit to serve up more-valuable paid advertisements and

boost revenue

The resolution • Deployed SAP Predictive Analytics software, enabling segmentation using social

network analysis and social “friend” recommendations • Launched a pilot to recommend blogs to visitors and members based on profiles

and tastes to further increase site stickiness

The key benefits • Ability to offer relevant “friend” recommendations each morning to site members • Better understanding of individual users, helping identify communities with similar

interests, characteristics, and behaviors, such as shopping fans, horseback riders, new moms, and car fanatics

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CIR food Increasing Efficiency and Making More-Informed Decisions

with SAP Solutions

“CIR food looks to its partners to help meet business objectives. Not only are SAP

solutions helping us achieve top-notch results, but reducing the reliance on IT support

is helping our bottom line.”

Company Cooperativa Italiana di Ristorazione S.C. (CIR food) | Headquarters Reggio Emilia, Italy | Industry Travel and transportation – hospitality | Products and Services

Food and restaurant services, meal tickets, catering, and educational service planning | Revenue €500 million | Employees 11,500 | Partner B4C Consulting

www.cir-food.it

Luca Baccarini, CIO, Cooperativa Italiana di Ristorazione S.C. (CIR food)

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http://www.cir-food.it/








CIR food Objectives • Implement a management-level reporting system to provide faster insight into

budget status and accelerate reaction time • Decrease the demand on IT with self-service reporting for all users, both in the

office and through mobile devices • Provide a forecasting system that gives restaurants the data needed to make

informed purchasing and hiring decisions

77% Less time to generate the budget with SAP Business Planning and Consolidation

4,000% Increase in the average number of daily users for BI tools

Greater User independence, which reduces demands on the IT department

Why SAP • Provides innovative, enterprise-wide solutions for everything from enterprise resource

planning (ERP) and warehouse management to business intelligence (BI) and analytics • Offers a strong portfolio of analytics solutions that can be fully integrated with

SAP Business Suite software

Benefits • Faster reporting, especially on mobile devices, with SAP HANA software • Better navigation of data from the SAP HANA database using SAP Lumira

software, reducing reliance on IT support • Greater insight into restaurant trends for better inventory and hiring decisions

with SAP Predictive Analytics* software • Cut the time to generate the budget from 4.5 months to 1 month with the

SAP Business Planning and Consolidation application


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Introduction Telecommunications Retail Banking | Insurance Media Others

More

information


http://www.sap.com/customer-testimonials/professional-services/cir.html

http://www.sap.com/customer-testimonials/professional-services/cir.html

eBay Early Signal Detection System Powered

by Predictive Analytics on SAP HANA

“SAP HANA will free up all the bandwidth right now

involved in figuring out what is going. The user just has to

feed in their metric, doesn’t have to worry about which

algorithm is the best, and can use the system because it is

inherently intelligent and configurable.”

Company eBay Inc. | Headquarters San Jose, California | Industry Professional Services | Products and Services Online marketplace | Employees 31,500 (2012) |

Revenue US$14.1 billion (2012)

www.eBay.com

Gagandeep Bawa, Manager, North America FP&A at eBay Inc.

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http://hana.sap.com/abouthana/customer-stories/ebay.html

http://www.ebay.com/












eBay Business challenges

Determine with

100% accuracy that a signal is positive at 97% confidence

Automated

early signal detection system on SAP HANA

• Increase the ability to separate signal from noise to identify key changes to the health of eBay’s marketplace

• Improve the predictability and forecast confidence of eBay’s virtual economy • Increase insights into deviations and their causes

Technical challenges • Inability to detect critical signals from 100 petabytes of data in eBay’s enterprise data

warehouse • Highly manual process requiring analyst intervention, because one model does not fit

all metrics

Key benefits • Automated signal detection system powered by predictive analytics on SAP HANA

that selects the best model for metrics automatically, increasing accuracy of forecasts

• Reliable and scalable system that provides real-time insights, allowing data analysts to focus on strategic tasks

• Decision tree logic and flexibility to adjust scenarios, allowing eBay to adapt the best model for its data

More

information

42 / 48



http://www.sap.com/customer-testimonials/high-tech/ebay.html

http://www.sap.com/customer-testimonials/high-tech/ebay.html

Tipp24 Quadrupling Marketing Campaign Performance

with SAP Predictive Analytics Software

Company Tipp24.com | Headquarters London | Industry Sports and entertainment |

Products and Services Online lotteries

www.tipp24.com


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To understand its customers better and to improve the accuracy of marketing activities, Tipp24.com, one of Europe’s leading licensed lottery intermediaries, turned to predictive analytics. Using SAP Predictive Analytics* software for predictive modeling, the company was able

to improve its targeting accuracy by 300%. That means introducing the right game to the right player and hopefully making dreams come true.


http://www.sap.com/germany/asset/detail.2014-08-aug.tipp24-com-increasing-targeting-accuracy-by-300-with-predictive-analytics-mp4.html

http://www.tipp24.com/











Tipp24 Top objectives • Better understand the customer lifecycle to nurture high-value customers,

increase up-sell and cross-sell opportunities, and reduce churn

• Gather detailed customer behavior data to optimize marketing campaigns • Enable efficient predictive modeling across all marketing activities and customer

channels

Why SAP Predictive Analytics software • Better performance and scalability when compared to SAS software and SPSS

software from IBM • Ability to identify customer behavior patterns to improve satisfaction • Ability to predict which customers are at risk of becoming inactive and which

inactive customers are likely to become active again

Key benefits • Optimizes campaigns and the customer lifecycle across multiple channels,

including telephone, direct mail, and e-mail • Enables proactive relationship management with existing and potential

high-value customers • Reduces churn and increases overall customer lifetime value

300% Improvement in targeting accuracy, including identifying likely players for weekly, monthly, or permanent tickets for specific lotteries

25% Reduction in target audience size for any individual campaign, thanks to more-precise analytics

90% Less time to build and deploy predictive models (from weeks to days), increasing the productivity of the analytics team

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More

information


http://www.sap.com/customer-testimonials/sports-entertainment/tipp24-com.html

http://www.sap.com/customer-testimonials/sports-entertainment/tipp24-com.html

KAESER Transforming Operations with SAP Business Suite powered by

SAP HANA

“We will leverage the full power of SAP HANA to enhance

existing business processes, introduce entirely new ones,

and reduce total cost of ownership. We are off to a very

good start with the smooth and fast migration of SAP

CRM to SAP HANA, which will be followed by other SAP

Business Suite applications and custom solutions.”

Falko Lameter, CIO, KAESER KOMPRESSOREN Company KAESER KOMPRESSOREN SE | Headquarters Coburg, Germany | Industry Industrial machinery and components | Products and Services Compressed air systems and compressed air consulting services | Employees 4,400 | Revenue €600 million (2012) | Partner SAP Consulting organization

www.kaeser.com

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http://www.kaeser.com/












http://go.sap.com/assetdetail/2014/09/74e56f23-0a7c-0010-82c7-eda71af511fa.html



KAESER Objectives • Create an innovative IT environment that supports the move toward a solution-

provider business model • Enhance existing business processes and utilize the power of Big Data and

predictive maintenance to become more proactive, customer oriented, and competitive

• Use the SAP HANA platform to transform and simplify the entire SAP solution landscape

Technical implementation • Successful migration of the SAP Customer Relationship Management (SAP CRM)

application to SAP HANA in just 2.5 months and with just 1.5 days of downtime • Great collaboration with SAP during all phases of the project

Future plans • Launch predictive maintenance capabilities with a custom solution based on

SAP CRM powered by SAP HANA to step up customer service • Migrate all SAP Business Suite applications, such as the SAP ERP, SAP Supply

Chain Management, and SAP Business Warehouse applications, to SAP HANA • Deploy SAP CRM powered by SAP HANA in the cloud with other cloud offerings

such as the SAP Jam™ social software platform to enable a mobile and social CRM strategy

Successful Successful and smooth production launch of SAP CRM powered by SAP HANA

Faster Five times faster database response times

Simpler Simpler and more agile IT landscape and business processes

Solid Solid foundation for predictive maintenance

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VELUX

Company VELUX A/S | Headquarters Hørsholm, Denmark | Industry Mill products | Products and Services Roof windows, modular skylights,

sun screening, and roller shutters | Employees 10,000 | Revenue €2.4 billion

www.velux.com


“We use SAP Predictive Analytics to find out which products might fail. This not only helps from a cost-saving perspective, but it also enables us to let our customers know we might have an issue and, more important, explain how we can fix that issue. It’s about creating a better customer experience.” Anders Reinhardt, Head of Business Intelligence, VELUX A/S

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http://go.sap.com/assetdetail/2015/01/d2811734-167c-0010-82c7-eda71af511fa.html

http://www.velux.com/



Studio SAP | 40562enUS (16/01) © 2016 SAP SE or an SAP affiliate company. All rights reserved.

VELUX Objectives • Accelerate business planning and move away from yearly budgeting • Support the corporate vision of a “single truth” for employees by deploying

a centralized business planning solution that is integrated with the company’s data warehouse

• Predict which products have a strong potential to fail, and clarify the impact on the company’s financial results

Resolution

• Selected the SAP Business Planning and Consolidation application powered by SAP HANA due to robust business planning and rolling forecasting functionality

• Deployed SAP Predictive Analytics software with visualizations from SAP Lumira software to incorporate more advanced analytics capabilities in finance and other lines of business

Benefits

• More-accurate monthly planning with rolling forecasts • Enhanced ability to predict product failure for better customer service and

better control over financial implications

Less Time needed to consolidate data for planning and reporting

Easier Preparation of sales materials

Better Monitoring of business performance

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More

information

http://www.sap.com/customer-testimonials/mill-products/velux.html

http://www.sap.com/customer-testimonials/mill-products/velux.html

© 2016 SAP SE or an SAP affiliate company. All rights reserved. No part of this publication may be reproduced or transmitted in any form or for any purpose without the express permission of SAP SE or an SAP affiliate company. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other countries. Please see http://www.sap.com/corporate-en/legal/copyright/index.epx#trademark for additional trademark information and notices. Some software products marketed by SAP SE and its distributors contain proprietary software components of other software vendors. National product specifications may vary. These materials are provided by SAP SE or an SAP affiliate company for informational purposes only, without representation or warranty of any kind, and SAP SE or its affiliated companies shall not be liable for errors or omissions with respect to the materials. The only warranties for SAP SE or SAP affiliate company products and services are those that are set forth in the express warranty statements accompanying such products and services, if any. Nothing herein should be construed as constituting an additional warranty. In particular, SAP SE or its affiliated companies have no obligation to pursue any course of business outlined in this document or any related presentation, or to develop or release any functionality mentioned therein. This document, or any related presentation, and SAP SE’s or its affiliated companies’ strategy and possible future developments, products, and/or platform directions and functionality are all subject to change and may be changed by SAP SE or its affiliated companies at any time for any reason without notice. The information in this document is not a commitment, promise, or legal obligation to deliver any material, code, or functionality. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates, and they should not be relied upon in making purchasing decisions.

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