Rulex big data and analytics
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RED2016 - 5 Aprile 2016
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Rulex big data and analytics
- 1. BigData: l’evoluzione dell’analisi massiva dei dati. Savona: 5/04/2016
- 2. “Big Data is like teenage sex: Everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it too” Big Data
- 3. Many are familiar with the old story “The Blind Men and the Elephant”. A group of blind men touch an elephant to learn what it is like. Each one feels a different part, but only one part, such as the side or the tusk. They then compare notes. They conclude that the elephant is like a wall, snake, spear, tree, fan or rope, depending upon where they touch. They are in complete disagreement, and the conflict is never resolved.
- 4. “BIG DATA” refers to datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze. McKinsey Global Institute
- 6. A Growing Torrent [McKinseyGlobalInstitute] $600 To buy a disk drive that can store all of the world’s music 5 billion Mobile phones In use in 2010 30 billion Pieces of content shared On Facebook every month 40% Projected growth in Global data generated Per year vs. 5% Growth in global IT spending 235 Terabytes data collected by The US Library of Congress By April 2011 15 out of 17 Sectors in USA have more data stored per company than the US Library of Congress
- 7. Big Data Value [McKinseyGlobalInstitute] $300 billion Potential annual value to US health care – more than double the total annual health care spending in Spain €250 billion Potential annual value to Europe’s public sector administration – more than GDP of Greece $600 billion Potential annual consumer surplus from using personal location data globally 60%Potential increase in retailers’ operating margins possible with big data 140,000-190,000More deep analytical talent positions, and 1,5 million More data-savvy managers needed to take full advantage of big data in the USA
- 8. Big Data Trends 1 ZB = 270 byte = 1.180.591.620.717.411.303.424 byte
- 9. Big Data
- 12. The big issue
- 13. Data monetization: extract knowledge from data quickly and easily and provide actionable insights to business decision makers.
- 14. Do we really need more data and analytics? Entering today’s reality!
- 15. Business Challenges Will my customer churn? Why? Which clients will buy this product? ID who. What is the risk profile of this customer? Is this transaction a fraud? Why? What’s customer’s propensity for trading risk?
- 17. Data Scientist
- 18. CRISP DM
- 19. CRISP DM
- 21. The game is changing, now. You are here
- 22. Rulex Cognitive machine learning for data monetization.
- 23. Businesses of all kinds are discovering they can gain calculable financial value from stored and available data. That value can come from using enterprise data to make measurably better business decisions, from vending valuable, proprietary data to external parties, or by using advanced analytics to create and sell proprietary predictive models or scoring services. • Intra-Business • Inter-Business • Market/Industry • Infrastructure/Environment Data Monetization
- 24. Centaurs: A new revolution Kasparov: “Centaur” rather than half-horse, half-human, a centaur chess player is one who plays the game by marrying human intuition, creativity and empathy with a computer’s brute-force ability to remember and calculate a staggering number of chess moves, countermoves and outcomes.
- 25. Rulex Growth – E.U. & USA Rulex GUI RULEX LAUNCHES OUT OF MACHINE- LEARNING RESEARCH AT CNR INDUSTRIAL EXPERIMENTATION, CONSULTING & CUSTOMIZATION IN ITALY ENTERPRISE CONSULTING & CUSTOMIZATION IN E.U. and USA GLOBAL MARKET STRATEGY IMPLEMENTED Impara S.r.l. Technology + Command line tools Engine for OEM applications 2007 2009 2011 2014 2016 INITIAL TARGET VERTICALS: • BANKS • ASSURANCE • AUTOMOTIVE • RETAIL • HEALTHCARE • ENERGY Rulex SolutionsRulex GUI Technology + Command line tools Engine for OEM applications Rulex SolutionsRulex GUI Technology + Command line tools Engine for OEM applications Rulex Solutions ©2016 Rulex Inc. 25
- 26. Data Implicit Knowledge Actionable Insights (decisions) Validation by Business Expert TRADITIONAL APPROACH Explicit Knowledge Data Scientist Data Actionable Insights (decisions) Explicit Knowledge Validation by Business Expert RULEX APPROACH
- 27. Rulex in action DATA INSPECTION SINGLE VIEW OF CUSTOMERS AUTOMATIC INSIGHTS EXTRACTION • patterns • personas • drivers • value metrics INSIGHTS VISUALIZATION customers prioritization EXPORT integration with enterprise processes
- 28. THANK YOU All Rights Reserved © Rulex, Inc. 2014 Andrea Ridi: CEO Rulex Inc Andrea.ridi@rulex-inc.com
Editor's Notes
- This definition is intentionally subjective and incorporates a moving definition of how big a dataset needs to be in order to be considered big data.
- With Rulex enterprises can reduce the total cost of ownership up to eighty percent and improve their performance up to two hundred percent. Let’s have a deeper look into Rulex.
- Forse è troppo bohemienne per te
- With Rulex enterprises can reduce the total cost of ownership up to eighty percent and improve their performance up to two hundred percent. Let’s have a deeper look into Rulex.
- With Rulex enterprises can reduce the total cost of ownership up to eighty percent and improve their performance up to two hundred percent. Let’s have a deeper look into Rulex.
- With Rulex enterprises can reduce the total cost of ownership up to eighty percent and improve their performance up to two hundred percent. Let’s have a deeper look into Rulex.
- Rulex is the prescriptive analytics platform that makes data monetization fast and reliable.
- Rulex is the prescriptive analytics platform that makes data monetization fast and reliable.
- Now a quick example of Rulex applied to predictive marketing: only five steps are required to get actionable insights. 1) identify required data, inspecting and cleaning them if necessary 2) Combine data from many sources into a single view of the customer 3) Automatic extraction of Patterns, Personas, Drivers, Insights & Scoring and calculation of customer value metric 4) Prioritize customers in term of confidence and value 5) Integrate the result with standard tools and procedures. Now that customers are very well known, it is possible to increase sales and improve the customer experience.