analyze telecom fraud at hadoop scale
TRANSCRIPT
![Page 1: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/1.jpg)
Page 1
Diyotta, Inc. All Rights Reserved
Analyze Telecom Fraud at Hadoop Scale
29th June 2016
Sanjay Vyas
Co-founder & COO, Diyotta
![Page 2: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/2.jpg)
Page 2
Diyotta, Inc. All Rights Reserved
Telecom-Relevant Glossary
• CDR – Call Detail Record
• Any phone call generates a CDR
• IPDR – IP Detail Record
• Any internet browsing activity generates an IPDR
• IVR – Interactive Voice Response
• Automated telephone response system usually for typical queries
![Page 3: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/3.jpg)
Page 3
Diyotta, Inc. All Rights Reserved
Fraud in Telecom
Global Mobile Industry
$2.2T
Revenue Losses due to
Fraud
$46.3B
Reference: http://www.argyledata.com/files/Telecom-Fraud-101-eBook.pdf
![Page 4: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/4.jpg)
Page 4
Diyotta, Inc. All Rights Reserved
A Day In Life of Telecom Data (Fraud Use-Case)
Source Systems
Ingestion Pipelines
Target Data Sets
Fraud Analysis
Minataur
![Page 5: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/5.jpg)
Page 5
Diyotta, Inc. All Rights Reserved
Legacy State for Fraud Analytics
Monolithic Script Based file Ingestion
MinataurFraud Application
• Limited capacity for processing
• Cannot Scale for Volume/Velocity
• Cannot do on-demand real-time Analytics
![Page 6: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/6.jpg)
Page 6
Diyotta, Inc. All Rights Reserved
Business Challenges
• Business not able to
• analyze IPDR Data due to the sheer
volume
• ingest streaming data from IVR
systems for fraud analysis
• Perform on-demand real-time fraud
analytics for deeper insights
![Page 7: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/7.jpg)
Page 7
Diyotta, Inc. All Rights Reserved
IT Challenges with Hadoop Adoption
• Skill Gap
• Limited in-house expertise on evolving technologies and keep up the pace
• Enterprise Standards
• Manual coding suffers from quality/maintenance issues and is inconsistent
• Scalability across data and technology
• Real-time, social media, multi-processing engines
• Data Lineage
![Page 8: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/8.jpg)
Page 8
Diyotta, Inc. All Rights Reserved
Solution Components
![Page 9: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/9.jpg)
Page 9
Diyotta, Inc. All Rights Reserved
Solution Architecture for Fraud Use-Case
![Page 10: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/10.jpg)
Page 10
Diyotta, Inc. All Rights Reserved
Diyotta Modern Data Integration Platform
![Page 11: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/11.jpg)
Page 11
Diyotta, Inc. All Rights Reserved
Page 11
Diyotta, Inc. All Rights Reserved
Diyotta Architecture
![Page 12: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/12.jpg)
Page 12
Diyotta, Inc. All Rights Reserved
Page 12
Diyotta, Inc. All Rights Reserved
Customer Success Story
![Page 13: Analyze Telecom Fraud at Hadoop Scale](https://reader034.vdocument.in/reader034/viewer/2022042506/58710ff21a28abac6d8b586d/html5/thumbnails/13.jpg)
Page 13
Diyotta, Inc. All Rights Reserved
Q&A
Sanjay Vyas
Email: [email protected]
Web: http://www.diyotta.com
Trial: www.Diyotta.com/try