big data analytic with hadoop: customer stories
DESCRIPTION
Why watch? Looking to analyze your growing data assets to unlock real business benefits today? But, are you sick of all the Big Data hype and whoopla? Watch this on-demand Webinar from Actian and Yellowfin – Big Data Analytics with Hadoop – to discover how we’re making Big Data Analytics fast and easy: Learn how a telecommunications provider has already transformed its business using Big Data Analytics with Hadoop. Hold on as we go from data in Hadoop to predictive analytics in just 40-minutes. Learn how to combine Hadoop with the most advanced Big Data technologies, and world’s easiest BI solution, to quickly generate real business value from Big Data Analytics. What will you learn? Discover how Actian’s market-leading Big Data Analytics technologies, combined with Yellowfin’s consumer-oriented platform for reporting and analytics, makes generating value from Big Data Analytics faster and easier than you thought possible. Join us as we demonstrate how to: • Connect to, prepare and optimize Big Data in Hadoop for reporting and analytics. • Perform predictive analytics on streaming Big Data: Learn how to empower all your analytics stakeholders to move from historical reports to predictive analytics and gain a sustainable competitive advantage. • Communicate insights attained from Big Data: Optimize the value of your Big Data insights by learning how to effectively communicate analytical information to defined user groups and types. This Webinar is ideal if… • You want to act on more data and data types in shorter timeframes • You want to understand the steps involved in achieving Big Data success – both front and back end • You want to see how market leaders are leveraging Big Data to become data-driven organizations today Looking to analyze and exploit Big Data assets stored in Hadoop? Then this Webinar is a must.TRANSCRIPT
![Page 1: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/1.jpg)
Actian and Yellowfin present
Big Data Analytic Stories with Hadoop
![Page 2: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/2.jpg)
About Actian and Yellowfin
![Page 3: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/3.jpg)
Why Actian and Yellowfin
![Page 4: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/4.jpg)
The Digital Floodgates have opened...and willnever be turned off
![Page 5: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/5.jpg)
Big Data equals Big Opportunity
![Page 6: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/6.jpg)
Companies using Data StrategicallyOutperform
![Page 7: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/7.jpg)
Journey to Best in Class Analytics
![Page 8: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/8.jpg)
Turning Data into Transformational Value
![Page 9: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/9.jpg)
Customer Use Case: Telecom Example
![Page 10: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/10.jpg)
Business Requirements
![Page 11: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/11.jpg)
IT Challenges
![Page 12: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/12.jpg)
Demo: From Data to Dashboard
![Page 13: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/13.jpg)
Call Detail Record Summary
![Page 14: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/14.jpg)
Routing Performance by Area Code
![Page 15: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/15.jpg)
Routing Vendor Performance
![Page 16: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/16.jpg)
Routing Vendor Alerts
![Page 17: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/17.jpg)
Results: Business Improvements
20,000updates made to routing tables during first week of collecting data
![Page 18: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/18.jpg)
Results: More Capacity
CPUUtilizationHalved
![Page 19: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/19.jpg)
Results: Customer Satisfaction
FASTERConnected Calls
![Page 20: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/20.jpg)
Results: Save Money
DeeperAnalysisvisibility at the
and Area CodeExchange level
![Page 21: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/21.jpg)
Results: Actionable Insights
FASTERAlert Vendors in Real-Timeas issues happen
![Page 22: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/22.jpg)
Results: Scalable and Future Proof
8.9 Billionrows of data collectedduring first 6 months
![Page 23: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/23.jpg)
Customer Churn
![Page 24: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/24.jpg)
Traditional Churn Analytics
![Page 25: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/25.jpg)
How do we improve Churn Identification?
![Page 26: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/26.jpg)
Add more sources of relevant data
![Page 27: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/27.jpg)
and more sources of relevant data
![Page 28: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/28.jpg)
and even more sources of relevant data!
![Page 29: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/29.jpg)
Drag and Drop ETL and Analytics
![Page 30: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/30.jpg)
WHERE customers are likely to churn
![Page 31: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/31.jpg)
WHEN customers are likely to churn
![Page 32: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/32.jpg)
![Page 33: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/33.jpg)
WHY customers churn? Usage
![Page 34: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/34.jpg)
![Page 35: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/35.jpg)
![Page 36: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/36.jpg)
WHY Customers Churn? Device
![Page 37: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/37.jpg)
![Page 38: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/38.jpg)
![Page 39: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/39.jpg)
![Page 40: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/40.jpg)
WHY Customers Churn? Dropped Calls
![Page 41: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/41.jpg)
![Page 42: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/42.jpg)
Results: More Accurate Predictions
70%Churn Identification(up from 5%)
![Page 43: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/43.jpg)
Results: Better Segmentation
Segment of 1Individual Analysis, Not Samples
![Page 44: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/44.jpg)
Results: Better Inbound Experience
WHERE,WHEN &WHYNot just demographics
![Page 45: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/45.jpg)
Results: More Effective Outbound Campaigns
TargetedMarketingCampaigns
![Page 46: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/46.jpg)
Results: Better Customer Service
CustomerDelight
![Page 47: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/47.jpg)
Results: Future Applications?
Cross-SaleMobiles, Broadband, TV Packages, Movies
![Page 48: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/48.jpg)
Your Big Data Journey
![Page 49: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/49.jpg)
Summary: Making Big Data Fast and Easy
![Page 50: Big Data Analytic with Hadoop: Customer Stories](https://reader031.vdocument.in/reader031/viewer/2022020217/55625253d8b42a6c368b5073/html5/thumbnails/50.jpg)