06/02/2016
Introduction to Data Analytics
Amine BEL HADJ SOULAMI BNP Paribas Learning 2015Data © Copyright 1
Learning From Data 06/02/2016
• You’ve been collecting data for years. • Learn how to use it to grow your business and gain a competitive
edge.
• Today’s data-driven companies have a competitive edge over their peers. • They are generating breakthrough insights by bringing together all of their structured and unstructured data and analysing it.
• Big Data or Smart Data?
• You know you have big data when it’s so large and complex that Learning 2015Data © Copyright it’s hard to process using your existing data management tools 2
In principle, nothing new 06/02/2016
Star Trek – The Devil in The Dark 1967
Capitain James T. Kirk and Commader Spock
Vulcans: an extraterrestrial humanoid species who originate from the planet Vulcan. They are noted for their attempt to live by reason and logic with no interference from emotion.
• KIRK: Mister Spock, you are second in command. This will be a dangerous hunt. Either one of us by himself is expendable. Both of us are not. • SPOCK: Captain, there are approximately one hundred of us engaged in this search, against one creature. The odds against you and I both being killed are 2,228.7 to 1. • KIRK : 2,228.7 to 1? Those are pretty good odds, Mister Spock. • SPOCK : And they are of course accurate, Captain. Learning 2015Data © Copyright • KIRK : Of course. Well, I hate to use the word, but logically, with those kind of odds, you might as well stay. But please stay out of trouble, Mister Spock. 3 • SPOCK : That is always my intention, Captain.
Event Data
Log servers 06/02/2016 Risk management system Emails Log Printers
Bloomberg Chat
Log PCs
Employees Databases
Phone Calls Recording
Clients Databases
An open API News Weather forecast Learning 2015Data © Copyright Social Media 4 Security recording Geolocation Trading systems Heart Rate A spreadsheet
Operational Support 06/02/2016 • Detect • Something is going wrong now • The process is deviating now
• The deadline just expired
• Predict • When will the case finish? • Will the case being rejected? • Will the case deviate from normal pattern?
• Recommend Learning 2015Data © Copyright • Which activity Should be executed • Who should execute it? 5
High-impact use cases 06/02/2016 • Customer analytics • Digital Marketing: optimising customer acquisition • Personalised websites/ newsletters/ advertisement • Reducing churn by predicting customer behaviours
• Operational analytics • Unlocking insights buried in log, sensors and machine data • Reduce failures and improve mean time-to-failure
• Fraud and compliance • Detect anomalies using strong data profiling • Perform time-series analytics, pattern changes
• Data-driven products and services Learning 2015Data © Copyright • Innovating new products and services: Think how you can combine your CRM data, social media, transaction data, geo-location data, 6 sensor, product data
Impact on Management 06/02/2016
Star Wars: Episode V
The Empire Strikes Back 1980
C-3PO: Sir, the possibility of successfully navigating an asteroid field is approximately 3,720 to 1.
Han Solo: Never tell me the odds. Copyright © Data Learning Learning 2015Data © Copyright • Are the odds wrong? • Should you trust your instinct? 7 Statistical Thinking
Take action and be agile 06/02/2016 • Managing data-driven innovation • Translating a business question into a mathematical problem • Understanding operational benefits and risks • money management vs weather forecast • Interpreting yours results and models: • Need to understand the underlying data model
• Data Learning - Value proposition • We bridge the gap between business leaders and scientist: Managers need transparent methods whereas academics produce sophisticated algorithms.
• Proof of Concept, data mining Learning 2015Data © Copyright • Workshop, executive courses • Implementations of tailored solutions and algorithms 8
My Background 06/02/2016
• Director Data Learning Ltd • Over 17 years of experience in both large companies and start-ups. • Previously the head of research and quantitative trading at Carrousel Capital, a 700mln hedge fund: quantitative modelling, data analysis, programing, database design, drawing on deep mathematical knowledge and ability. • Hands-on experience in setting up data solutions, the support of a wide network of specialists and a good knowledge of the start-ups scene.
• Mentor at the Cambridge Judge Business School (Cambridge - UK) • Lecturer at the Toulouse Business School (TBS - France), courses to post-graduate business students on Quantitative Asset Learning 2015Data © Copyright Management. • Christophe graduated from Ecole Polytechnique (Paris – France) and 9 l’Ecole Supérieure des Mines de Paris (France).
Contact 06/02/2016
Christophe LE LANNOU
[email protected] Copyright © Data Learning Learning 2015Data © Copyright
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