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Predictive Analytics: Business Perspective & Use Cases

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An overview of Predictive Analytics with a business perspective & use cases.

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Predictive Analytics: Business Perspective & Use Cases

  1. 1. PREDICTIVE ANALYTICS ÇAĞRI SARIGÖZ MARCH 2015
  2. 2. Predicting The Future In Search of The Unknown Source: http://www.slideshare.net/idigdata/practical-predictive-analytics-with
  3. 3. Business Value Increases As It Gets Harder Source: http://diverseit.co.za/business-intelligence-bi-spectrum/
  4. 4. Hype Cycle for Emerging Technologies Source: http://www.gartner.com/newsroom/id/2819918
  5. 5. Trends, Customers, Business Source: The Data Warehousing Institute, TDWI Best Practices Report: Predictive Analytics for Business Advantage, 2014 First Quarter https://www.sap.com/bin/sapcom/en_us/downloadasset.2014-03-mar-17-21.predictive-analytics-for-business-advantage-pdf.html
  6. 6. Data-Rush Source: The Data Warehousing Institute, TDWI Best Practices Report: Predictive Analytics for Business Advantage, 2014 First Quarter https://www.sap.com/bin/sapcom/en_us/downloadasset.2014-03-mar-17-21.predictive-analytics-for-business-advantage-pdf.html
  7. 7. Talent, Adoption, Integration Source: The Data Warehousing Institute, TDWI Best Practices Report: Predictive Analytics for Business Advantage, 2014 First Quarter https://www.sap.com/bin/sapcom/en_us/downloadasset.2014-03-mar-17-21.predictive-analytics-for-business-advantage-pdf.html
  8. 8. Simple is Popular Source: The Data Warehousing Institute, TDWI Best Practices Report: Predictive Analytics for Business Advantage, 2014 First Quarter https://www.sap.com/bin/sapcom/en_us/downloadasset.2014-03-mar-17-21.predictive-analytics-for-business-advantage-pdf.html
  9. 9. They just need a start Source: The Data Warehousing Institute, TDWI Best Practices Report: Predictive Analytics for Business Advantage, 2014 First Quarter https://www.sap.com/bin/sapcom/en_us/downloadasset.2014-03-mar-17-21.predictive-analytics-for-business-advantage-pdf.html
  10. 10. Infrastructure
  11. 11. Funding = Expectations Source: http://conversionxl.com/predictive-analytics-changing-world-retail/?hvid=352IDw
  12. 12. Analytics Value Chain: Customer Purchase Decision for Ecommerce Source: http://www.slideshare.net/valiancesolutions/predictive-analytics-in-ecommerce
  13. 13. Segmentation & Personalization Segmentation is Product Centric “Customers who viewed/bought this also viewed/bought those” Better than a “lucky guess”, but not enough for Ecommerce True Personalization goes way beyond Segmentation Taking note of everything about the customer  Every search query, every click, every add to cart, and every purchase, along with all the attributes associated with each Continuously learning about the customer and delivering an experience that responds directly to his or her intrinsic interests and immediate needs with each returned visit. Over time, this experience becomes smarter and more intuitive. The customer feels like their online engagement with a brand is natural, pain free, and even special. By combining individualized historical data with real time relevancy, we can better anticipate immediate needs Source: http://blog.reflektion.com/?p=17
  14. 14. If You are BIG, You can Predict HUGE Source: Amazon’s Patent on Anticipatory Package Shipping

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