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Big Data Analytic with Hadoop: Customer Stories
Actian and Yellowfin showcase the potential of big data analytics using Hadoop to drive business improvements and customer satisfaction. They highlight a telecom case study demonstrating enhanced routing performance, predictive churn analytics, and actionable insights, resulting in significant operational efficiencies and better customer experiences. The document emphasizes the importance of utilizing diverse data sources and advanced analytics for transformative outcomes in businesses.
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Big Data Analytic with Hadoop: Customer Stories
- 1. Actian and Yellowfinpresent Big Data Analytic Stories with Hadoop
- 2. About Actian andYellowfin
- 3. Why Actian andYellowfin
- 4. The Digital Floodgateshave opened...and will never be turned off
- 5. Big Data equalsBig Opportunity
- 6. Companies using DataStrategically Outperform
- 7. Journey to Bestin Class Analytics
- 8. Turning Data intoTransformational Value
- 9. Customer Use Case:Telecom Example
- 10.
- 11.
- 12. Demo: From Datato Dashboard
- 13. Call Detail RecordSummary
- 14. Routing Performance byArea Code
- 15.
- 16.
- 17. Results: Business Improvements 20,000 updatesmade to routing tables during first week of collecting data
- 18.
- 19.
- 20. Results: Save Money Deeper Analysis visibilityat the andArea Code Exchange level
- 21. Results: Actionable Insights FASTER AlertVendors in Real-Time as issues happen
- 22. Results: Scalable andFuture Proof 8.9 Billion rows of data collected during first 6 months
- 23.
- 24.
- 25. How do weimprove Churn Identification?
- 26. Add more sourcesof relevant data
- 27. and more sourcesof relevant data
- 28. and even moresources of relevant data!
- 29. Drag and DropETL and Analytics
- 30. WHERE customers arelikely to churn
- 31. WHEN customers arelikely to churn
- 33. WHY customers churn?Usage
- 36. WHY Customers Churn?Device
- 40. WHY Customers Churn?Dropped Calls
- 42. Results: More AccuratePredictions 70% Churn Identification (up from 5%)
- 43. Results: Better Segmentation Segmentof 1 Individual Analysis, Not Samples
- 44. Results: Better InboundExperience WHERE, WHEN & WHY Not just demographics
- 45. Results: More EffectiveOutbound Campaigns Targeted Marketing Campaigns
- 46. Results: Better CustomerService Customer Delight
- 47. Results: Future Applications? Cross-Sale Mobiles,Broadband, TV Packages, Movies
- 48. Your Big DataJourney
- 49. Summary: Making BigData Fast and Easy