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With predictive analytics, the possibilities are endless: predict buying behavior, manage financial risks, fight crime, avoid equipment downtime, and much more. Below are 14 short videos showcasing how you can expose untapped opportunities and hidden risks buried in data using SAP Predictive Analytics solutions.

Here’s the entire list of Predictive Pearl videos on YouTube:

1- Personalize Your Mobile Marketing

Target your customers with location-based marketing. In this retail banking scenario, we analyze geo-referenced transactions to zoom in on the bank’s customers and deliver even more relevant marketing to each individual.

2- Predictive Analytics Made Easy (Classification model)
Build a classification model that will determine who is most likely to accept a given promotion.

3- What Will You Listen to Next? (Recommendation engine)

Use predictive analytics solutions from SAP to determine the bands a user will listen to in a music streaming service. Learn how to build -in a few clicks – a recommendation engine that personalizes content on your website and across a variety of channels for your customers.


4- Football Fan? Here Is the Next Best Offer for You!

See hows predictive analytics solutions from SAP, integrated into a CRM application, can help a call center agent determine the best offer to recommend to a customer calling to purchase tickets for the next football game.

5- Personalizing the Customer Experience (Smart Vending Machine) – PART 1

How does a major actor in consumer packaged goods operate 40,000 smart vending machines and still offer a personalized customer experience? In this demo, we explore and analyze the data related to the products and transactions, using predictive analytics solutions from SAP.

6- Personalizing the Customer Experience (Smart Vending Machine) – PART 2

How does a major actor in consumer packaged goods operate 40,000 smart vending machines and still offer a personalized customer experience? In this demo, we explore and analyze the data to determine the best personalized product to offer each individual.

7- Determine the Customer Next Best Action in a Retail Bank

This demo shows you how data discovery combined with predictive modeling can help you define the next best offer for each customer using predictive analytics solutions from SAP.


­čś»ptimize the Setup of a Stadium

Learn how predictive analytics can help your operations. This demo analyzes mobile data in order to optimize the location of new stores or facilities for the Maracana stadium in Brazil.

9- Combat Churn – Predicting Which Subscriber Will Leave and Why

This demo shows you how to predict which telecom subscribers are likely to churn and why – using an intuitive, wizard-driven interface.

10- Even Marketers Can Use Predictive Analytics!
See how you can integrate SAP’s predictive engine into other business applications, such as the SAP Customer Engagement Intelligence platform, making it easy for business users to consume predictive results easily and modern marketers to target audiences better.

11- Gain Rapid Customer Insight from Big Data

This demo shows you how you can use predictive analytics solutions from SAP to analyze Big Data sources, build models on wide data sets, and gain customer insight in a few minutes.


12- Learn How to Perform Predictive Maintenance Easily

Build a predictive model that helps estimate the lifetime of a piece of telecom equipment and anticipate failure or outage before it happens!

13- Recommend the Right Products to Your Website Visitors

This demo shows you the basics of how to use predictive analytics to recommend the right products to your customers.


14- Uncover Fraud Rings with Social Network Analysis

This demo examines how the social network analysis capabilities in predictive analytics solutions from SAP can help you uncover rings of fraud – in any type of business.


Enjoy!

The SAP Predictive Analytics team

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8 Comments

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    1. Pierre Leroux Post author

      Hi Edwin,

      No there isn’t a download for the examples presented above.

      Contact me directly if you need help with a specific scenario.

      [pierre.leroux] @ [sap] [dot] [com]

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  1. Ted Kwon

    Thanks for dealing with traditional marketing research topics:

    – Marketing mix responsiveness

    SAP has advanced so far and showed best practice as appropriately than other solution vendors. These Use Cases inspired much for me to design demo cases for clients.

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