Transcript
Page 1: Big Data Analytic with Hadoop: Customer Stories

Actian and Yellowfin present

Big Data Analytic Stories with Hadoop

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About Actian and Yellowfin

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Why Actian and Yellowfin

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The Digital Floodgates have opened...and willnever be turned off

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Big Data equals Big Opportunity

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Companies using Data StrategicallyOutperform

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Journey to Best in Class Analytics

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Turning Data into Transformational Value

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Customer Use Case: Telecom Example

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Business Requirements

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IT Challenges

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Demo: From Data to Dashboard

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Call Detail Record Summary

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Routing Performance by Area Code

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Routing Vendor Performance

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Routing Vendor Alerts

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Results: Business Improvements

20,000updates made to routing tables during first week of collecting data

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Results: More Capacity

CPUUtilizationHalved

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Results: Customer Satisfaction

FASTERConnected Calls

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Results: Save Money

DeeperAnalysisvisibility at the

and Area CodeExchange level

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Results: Actionable Insights

FASTERAlert Vendors in Real-Timeas issues happen

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Results: Scalable and Future Proof

8.9 Billionrows of data collectedduring first 6 months

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Customer Churn

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Traditional Churn Analytics

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How do we improve Churn Identification?

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Add more sources of relevant data

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and more sources of relevant data

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and even more sources of relevant data!

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Drag and Drop ETL and Analytics

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WHERE customers are likely to churn

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WHEN customers are likely to churn

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WHY customers churn? Usage

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WHY Customers Churn? Device

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WHY Customers Churn? Dropped Calls

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Results: More Accurate Predictions

70%Churn Identification(up from 5%)

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Results: Better Segmentation

Segment of 1Individual Analysis, Not Samples

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Results: Better Inbound Experience

WHERE,WHEN &WHYNot just demographics

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Results: More Effective Outbound Campaigns

TargetedMarketingCampaigns

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Results: Better Customer Service

CustomerDelight

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Results: Future Applications?

Cross-SaleMobiles, Broadband, TV Packages, Movies

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Your Big Data Journey

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Summary: Making Big Data Fast and Easy

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