Advanced Analytics and New Big Data
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Experian is a leading global information services company with over $15 billion in revenue. It uses advanced analytics and machine learning to drive innovation and embed new techniques into its business. This includes using web data, transactional data, and voice data to improve risk scoring, fraud detection, and customer insights. Experian develops products like its Web Data Insights and Transactional Data for Fraud Insights to provide these advanced analytics capabilities to its clients.
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Advanced Analytics and New Big Data
- 1. March 2019 Giulio Mariani, Senior Data Scientist EMEA
- 2. 21/03/2019 Discover Experian | www.experianplc.com2 © Experian 1. Who we are 3. How we embed Advanced Analytics into Business as Usual 2. Why we Drive Innovation Discover Experian Contents Contents
- 3. 21/03/20193 © Experian 01 Discover Experian Introduction We’re leading global information services company $4,5 billion $1,2 billion $15 billion Employees worldwide Operation across 39 countries Globally we operate in over 120 jurisdictions Revenue EBIT Market Cap Discover Experian | www.experianplc.com Who we are Mortgage Insurance Banking Micro-Finance Automotive Leasing Telecommunications Utilities Public Sector Internet Merchants Health Care Credit Cards Retail Finance Cross-industry presence and expertise
- 4. 21/03/20194 © Experian 03 Discover Experian Products Overview Why we Drive Innovation Discover Experian | www.experianplc.com
- 5. Drive the trend of AI Evolution Why we drive innovation 71% Our clients’ priorities in FY19 is Advanced Analytics $60B Global revenue for Advanced Analytics by 2021 $23.4B EMEA revenues for 2019 for Big Data Solutions Advanced Analytics: new data, new techniques and technologies
- 6. 21/03/20196 © Experian 02 Discover Experian Selected Capabilities How we embed Advanced Analytics into Business as Usual Discover Experian | www.experianplc.com
- 7. How we embed Advanced Analytics into Business as Usual The impact of Advanced Analytics and Machine Learning Advanced Analytics Manage New Big Data Web Data Transactional Data Voice Data Maximize Performance More Value from same data New algorithms Higher accuracy Key Benefits Wider vision and New Insights Higher models accuracy Multi Functionalities: CRM, Fraud detection, Regulatory
- 8. 21/03/20199 © Experian Discover Experian | www.experianplc.com 02 Discover Experian Selected Capabilities 1 - Data generated in 2016 was 16.1ZB. One zettabyte (‘ZB’) is one trillion gigabytes. Source: International Data Corp ,Data Age 2025 report. Web Data Insights SMEs Credit Risk Scoring
- 9. Web Data Insights New Big data EMEA projects A.I. Compliance Lack of BI Info Fraud Credit Risk Marketing How we embed Advanced Analytics into Business as Usual Web Data Insights for SME credit risk scoring
- 10. Where it is located What people are saying about it How it can be reached On which sites it is mentioned Applicant Company How we embed Advanced Analytics into Business as Usual Web Data Insights: web data information for a better Companies’ Insight
- 11. Bulgaria Response <1sec 43% Gini using only Web Data 90% of Web Hit Rate +20% accuracy Traditional Scores How we embed Advanced Analytics into Business as Usual Web Data Insight Score: Results and Performance SpainItaly The Netherlands France Web Data Score
- 12. 21/03/201914 © Experian 03 Discover Experian Products Overview Transactional Data for Fraud Insights AI for Fraud Prevention Discover Experian | www.experianplc.com
- 13. Boosting fraud detection with Machine Learning algorithms TDFI is a complete solution to identifies the applications most likely to be fraudulent combining several machine learning algorithms to stop fraud and automate the decision process Increase Fraud Detection Reduce fraud costs Create automated decision process Attend capital requirements How we embed Advanced Analytics into Business as Usual Transactional Data for Fraud Insights
- 14. Multi Algorithms: RF, GB, NN… How we embed Advanced Analytics into Business as Usual Transactional Data for Fraud Insights Categorization Segmentation Aggregate and Enrich Portfolio of Transactions Track of spending DNA Live Notification and Fraud Alerts Anomalies Detection Machine Learning Multi Techniques: Ai Natural Language Process Text Mining Analysis Advanced Analytics
- 15. 21/03/2019Private and confidential Presentation Title Voice of Customer From Voice to Business Intelligence
- 16. Collection Fraud DetectionCustomer Insights Turning voice calls into predictive models VoC uses information such as voice calls converted into text and several text data sources (e.g.: contact centre logs, text reports) for the development of predictive models for collections, fraud detection, regulatory and customer insights. How we embed Advanced Analytics into Business as Usual Voice of Customer: a complete solution to extract value from multiple communication sources
- 17. Calls Records Development overview «I am having problem with my boiler and I would like to fix really soon. I would like to have priority? Please schedule it in the mornings, I am working from home at that time» Voice to Text Machine Learning for Process Optimization Natural Language Process How we embed Advanced Analytics into Business as Usual Voice of Customer: a full end-to-end Natural Language Process solution How it was Suggested Flow Optimized Process output VoC
- 18. New (Big) Data sources Advanced Analytics Real-Time solution Experian Sandbox Transactional data Web Data Call records Navigation Data How can we manage such a hard challenge? New technology How we embed Advanced Analytics into Business as Usual Ascend Platform: Analytics as a Service
- 19. A powerful analytics and data environment with instant access to the Big Data universe Data Universe Experian Bureau, Web, TXN, Voice… Business Benefits Artificial Intelligence Advanced Analytics Top Analytics tools SAS, Tableau, R, Python Analytics and Data as a Service What you want When you want How we embed Advanced Analytics into Business as Usual Ascend Platform: all you want, when you want
- 20. Discover Experian Introduction 21/03/201923 © Experian Discover Experian | www.experianplc.com Q&A
Editor's Notes
- Our plan is to expand out platform in the key areas of the platform and stages of the consumer journey Our response to the market need is an evolution of our platform that capable of: Allow vast amounts and types of data operationalize real time analytical driven decisions at volume deliver sustainable outcomes for consumers support a full 360 degree view of the customer reach and engage with consumers via the channel (s) of their choice
- Gini accuracy Calibration accuracy parameter for… behavioral data ….Reduction of Capital Requirement Better allocation of capital requirement PD Scores Rating Rate 1 ground rate risk rate
- Fraud detection based on Suspected Payments: Unusual Geographical position Unusual purchases (description – text mining) Unusual amount and frequence
- Text left, image right slide [uses Title, Text, Image layout] The headline appears in Arial (Experian Dark Blue) at 36pt. If a subheadline is required, it should be manually sized to 22pt. The text has five pre-set levels in 18pt Arial: Level 1 – ranged to the left margin for continuous text; if you require a bold subheading you can embolden this to 18pt Arial Bold Level 2 – ranged to the left text margin with a round bullet, subsequent lines aligning with the text of the previous line Level 3 – horizontal dash bullet, subsequent lines aligning with the text of the previous line Level 4 – round bullet, subsequent lines aligning with the text of the previous line Level 5 –horizontal dash bullet, subsequent lines aligning with the text of the previous line Advancing through the text levels can be done by using the ‘Increase List Level’ and ‘Decrease List Level’ buttons in the ‘Paragraph’ tools on the ‘Home’ ribbon. If your text content exceeds the depth of the text box, you may need to consider creating an additional slide. Inserting an image A squircle picture placeholder has been set up on the slide layout, bleeding off to the top and right of the layout. The placed image should be a square format and the squircle placeholder is 16cm x 21.3cm. To optimise screen and desktop printed output, it is recommended that images are saved to 100dpi at these dimensions. The brand mark on this slide layout is set up at the correct size and position and should not be altered. The date and footer info can be edited across all slides by using the ‘Header and Footer’ settings on the ‘Insert’ ribbon (do not edit these manually on the individual slides).
- Advanced Analytics No ‘a priori’ algorithm - especially for Fraud - because it depends on sample’s information: Ensemble model: powerful model Complex data and features New Tech: As you are considering ‘Huge’ Data, you need: Space to store so many information Power to develop and launch model Real-Time
- Big Data Universe: Sandbox gives you all the space with customizable Cloud Storage Upload your data and enrich with: Web / text / transactional + Experian Bureau information Top Analytics tools: To develop and manage models and results Store + Tools + Power = Advanced Analytics Analytics and Data as a Service: Experian Consultancy to support you in customized model development Big Data Platform with self service analytics No internal development, instant access MVP ready for June/18