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Data science for business leaders executive program
- 1. Data Science for BusinessLeaders Executive Program WRO0576975 1
- 2. Definition : • Executiveor management development is a planned, systematic and continuous process of learning and growth by which managers develop their conceptual and analytical abilities to manage. • This program — designed in partnership with Alteryx, a leading provider of an end-to-end data science and analytics platform — prepares managers and executives to implement data science initiatives across their businesses. WRO0576975 2
- 3. Why Data Scienceis Important for Business Leaders : • Invaluable investment in the long run as it helps managers to acquire requisite knowledge, skills and abilities needed to handle complex situations in business • Enables executives to realize their own career goals and aspirations • Helps executives to step into superior positions easily • Assists executives in enhancing their people management skills, taking a holistic view of various problems. WRO0576975 3
- 4. Learn With theBest : Methods Decision- making skills •(a) In-basket •(b) Business game •(c) Case study Interpersonal skills •(a) Role play •(b) Sensitivity training •(c ) Behaviour Modelling Job knowledge •(a) On-the-job experiences •(b) Coaching •(c) Understudy Organisational knowledge •(a) Job rotation •(b) Multiple management General knowledge •(a) Special courses •(b) Special meetings •(c) Specific readings Specific individual needs •(a) Special projects •(b) Committee assignments WRO0576975 4
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- 6. WRO0576975 6 2015 1 Zettabyte 1 Exabyte 1 Petabyte 1Petabyte == 1000 TB 2002 2009 2006 2011 5 EB 161 EB 800 EB 1.8 ZB 8.0 ZB 14 PB 60 PB Data produced each year 100-years of HD video + audio Human brain's capacity 1 TB = 1000 GB 120 PB logarithmic scale Data, data everywhere…
- 7. How Much DataDo We have? • Google processes 20 PB a day (2008) • Facebook has 60 TB of daily logs • eBay has 6.5 PB of user data + 50 TB/day (5/2009) • 1000 genomes project: 200 TB • Cost of 1 TB of disk: $35 • Time to read 1 TB disk: 3 hrs (100 MB/s) WRO0576975 7
- 8. Big Data Big Datais any data that is expensive to manage and hard to extract value from • Volume • The size of the data • Velocity • The latency of data processing relative to the growing demand for interactivity • Variety and Complexity • the diversity of sources, formats, quality, structures. WRO0576975 8
- 9. What To DoWith These Data? • Aggregation and Statistics • Data warehousing and OLAP • Indexing, Searching, and Querying • Keyword based search • Pattern matching (XML/RDF) • Knowledge discovery • Data Mining • Statistical Modeling WRO0576975 9
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- 11. Data Science forLeaders : Analytics Methodology • Constraints Objective Functions • Modeling Abstraction • techniques Business Problem • Data-driven Decisions • Domain Knowledge • Requirements & Performance Metrics WRO0576975 11
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- 14. 2016 Data: TrendReverses? WRO0576975 14 35% 57% 69% 63% 61% 50% 58% 0% 10% 20% 30% 40% 50% 60% 70% 80% 2010 2011 2012 2013 2014 2015 2016 Percent believing that business analytics creates a competitive advantages for their organization Axis Title Trend Trend Linear (Trend)
- 15. Netflix Prize WRO0576975 15 Bob Bell, winnerof the "Netflix prize" Napoleon Dynamite = Batman Begins = Finding Nemo = Lord of the Rings = 1.22 .75 .67 .42 Some films are difficult to predict… and others are easier!
- 16. What We HaveLearned: • Manager commitment to training time required • Learning must be applied & practical • Instructors &internal support required for applied project work • Faculty need to engage in applied learning –real use cases –real data • Structured work groups remove organizational barriers • Managers want a hands on technical perspectives –getting taxonomy • Advanced Mastery can be supported by asynchronous continuous learning • Collaboration between educators & industry leaders brings insights WRO0576975 16
- 17. THANK YOU • BestRegards • Jitendra Ratilal Mistry WRO0576975 17