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Transactions / Basket Analysis

  1. Transactions/Basket Analysis Philippe Nemery - Predictive Expert - SAP BeLUX Predictive Analytics (PA2.4)
  2. © 2016 SAP AG. All rights reserved. 2
  3. © 2016 SAP AG or an SAP affiliate company. All rights reserved. 55© 2016 SAP SE or an SAP affiliate company. All rights reserved. Anticipate What Comes Next and Drive Better Decisions… Today! Social Network Customer Data Automobiles Machine Data Smart Meter Point of Sale Mobile Structured Data Click Stream Location- based Data Text Data IMHO, it’s great! RFID 68%of organizations that used predictive analytics realized a competitive advantage Ventana Research 52% use predictive analytics to increase profitability 55% use predictive analytics to create new revenue opportunities 45% use predictive analytics for customer services 43% use predictive analytics for product recommendations
  4. © 2016 SAP AG. All rights reserved. 6
  5. © 2016 SAP AG. All rights reserved. 7
  6. © 2016 SAP AG. All rights reserved. 8 Customer/Transactions Data Know YOUR customers: CRM Data
  7. © 2016 SAP AG. All rights reserved. 9 Transactions Analysis • their historical transactions • comparing the details and the behaviours to other customers • their position in the social network generate the right recommendations of the right products / services at the right time for the right customers by analyzing:
  8. © 2016 SAP AG. All rights reserved. 10 Analysis 1. Basket Analysis 2. Sequence Analysis 3. Social Network Analysis
  9. © 2016 SAP AG. All rights reserved. 11 Transactions Data Transactions can be weighted (price or number of a specific item). Users Products
  10. © 2016 SAP AG. All rights reserved. 12 Transactions Data
  11. © 2016 SAP AG. All rights reserved. 13 Transactions Data
  12. © 2016 SAP AG. All rights reserved. 14 Transactions Data
  13. © 2016 SAP AG. All rights reserved. 15 Transactions Data
  14. © 2016 SAP AG. All rights reserved. 16 Transactions Data
  15. © 2016 SAP AG. All rights reserved. 17 Transactions Data Support, Confidence
  16. © 2016 SAP AG. All rights reserved. 18 Transactions Data Support, Confidence
  17. © 2016 SAP AG. All rights reserved. 19 For each customer: a product and the associated probability.
  18. © 2016 SAP AG. All rights reserved. 20 For each customer: a product and the associated probability.
  19. © 2016 SAP AG. All rights reserved. 21 Demo Link
  20. © 2016 SAP AG. All rights reserved. 22 Basket Analysis For each customer: a product and the associated probability.
  21. © 2016 SAP AG. All rights reserved. 23 Predictive Analytics Delivers High Return in Retail 220% increase campaign responses 10% improvement in sales forecasts 23 Eldorado LLC | Headquarters Moscow, Russia | Products and Services Consumer electronics and domestic appliances | Employees 15,000 | Revenue €2.4 billion (2012) Groupe SAMSE | Headquarters Grenoble, France | Products and Services Distribution of building materials and tools | Employees 5,000 | Revenue €1.138 million Predictive models that require just a week, rather than months, to update Japan’s leading mail order business with 4 million active customers and 9.5 million orders a year, is using predictive analytics solutions from SAP to forecast purchasing probability and enable a more targeted distribution of its over 20 product catalogs to relevant consumers (insight into Individual Customer Preferences)
  22. © 2016 SAP AG. All rights reserved. 24 Predictive Analytics Delivers High Return in Retail 14% ROI with a 8.5% increase in travel sales 24 Company American Automobile Association (AAA) | Headquarters Orlando, Florida Industry Insurance | Products and Services Roadside assistance; automotive, travel, and financial services | Employees >40,000 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) 360-degree view of customer information, helping ensure more focused, targeted campaigns and customer interactions Optimized marketing campaigns across channels for nearly 70% of members Cut attrition and increased overall customer lifetime value by extending targeted offers to members with low usage Meaningful customer interactions, helping create offers that are relevant to consumers and more accurately reflect unique demands
  23. © 2016 SAP AG. All rights reserved. 25 Predictive Analytics Delivers High Return 7x response rate vs. control group Reduce e-fraud over $1B annually transactions 5x increase in response rates 700 models for churn and X-sell 260% increase in campaign response ate 3% decrease in monthly churn rate 220% increase in campaign responses 10% improvement in sales forecasts Retail Banking Telco 14% ROI with a 8.5% increase in travel sales > 5B rows of data being integrated from state agencies Other 20,000 distinct social communities identified 40B events analyzed per year – up to 3% lower fuel and tire costs 25
  24. © 2016 SAP AG. All rights reserved. 26 - Link to download the trial version of Predictive Analytics (PA2.4): - Link to Solution Overview - Link to Solution Overview II - Link to customer references - Link to Slide-Deck - Link to Youtube-Video nemeryphilippe@nemeryp Philippe.Nemery@sap.com Contact me:
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