Collaboration among Data Scientists, Statisticians, , and Domain - PowerPoint PPT Presentation

Dec 10, 2022 •119 likes •218 views

Collaboration among Data Scientists, Statisticians, , and Domain Experts Interface 2015 : 45thSYMPOSIUM Computing Science and Statistics West Virginia University Ashu Kumar BI and Big Data Strategist Director of Enterprise Business

Collaboration among Data Scientists, Statisticians, , and Domain Experts Interface 2015 : 45thSYMPOSIUM Computing Science and Statistics West Virginia University Ashu Kumar BI and Big Data Strategist Director of Enterprise Business Analytics, Mylan Inc.
◦ Global Director of Enterprise Business Analytics Mylan Inc. ◦ Manage team of BI Analysts and Data Scientists ◦ Interface and bridge between business and technology ◦ Plan and execute Big Data strategy, roadmap and Implementation ◦ Incubate and roll out Data Science capabilities ◦ 8 Years as Tier-1 consultant SAP America - Strategic Advisory division ◦ Practice Lead for Advanced Analytics/Big Data ◦ Principal Consultant ◦ Adjunct Faculty & IST Advisory Board Member Penn State University ◦ 8 Years as News Reporter/Editor in previous life 2
Why we need Data Scientists? Analyzing what has happened… … to control what will happen
… to move up the Analytics Maturity Curve Sense & Respond Predict & Act Business Visibility Business Insight Competitive Advantage Optimization What is the best that could Predictive Modeling happen? Statistical Analysis / Data Mining What will happen? Performance Analytics Ad Hoc Dashboards Reports & Standard Analysis Why did it happen? Reports Cleaned Data What happened? Data Information Knowledge Intelligence
Market Corporate Eco-System … to enable Insight 360 360 Data Science Standard & Certified Candace Reports and Discovery Self Service Ad-hoc Reports & Analysis Facebook Business Applications Enterprise Data Hadoop Forums Warehouse Market Data Govt. Twitter
What would a data scientist do? Source : Gartner …enable data driven decisions and actions
How would it help the business? Descriptive Diagnostic Predictive Prescriptive Data Analysis Basic Metrics and KPIs Data Science Reports and Dashboards Problem Solving What-if analysis Complex Algorithms Finding a needle in hay Simple Mathematics Prescriptive Models Monitoring Business Operations Designing Business Strategies
Data Science Skills: IT vs Statistics vs Business Source : Gartner
Thank you Let’s be in touch: https://www.linkedin.com/in/ashukumar References Emerging Role of the Data Scientist and the Art of Data Science Published: 20 March 2012 Analyst(s): Douglas Laney, Lisa Kart (Gartner) Organizational Principles for Placing Advanced Analytics and Data Science Teams Published: 4 September 2013 Analyst(s): Alexander Linden, Gareth Herschel, Neil Chandler, Josh Parenteau (Gartner)

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