Just a copy from http://www.isim.ac.in/Infovision%202012/presentations/sunilshirguppilinkedin.pdf for saving purpose. All right reserved by the above link.
12. Data Scientist = Curiosity + Intuition + Data
gathering + Standardization + Statistics + Modeling
+ Visualization + Communication
What makes a Data Scientist?
14. What do we do with Data?
ï§ Data Standardization
ï§ Build innovative data products to help professionals
ï§ Draw insights
ï§ Drive the business
Before we can do that...
There are a few challenges that we have to overcome
âą Scale
âą Standardization
âą Infrastructure
33. What next?
âą Self service analytics
âą Metadata framework
âą Integrate reporting solutions
âą Go Mobile!
âą Scalability and Data Quality
34. Challenges
âą Data volumes and availability
â Billion+ rows every day
â Users in Global locations need data
âą Multiple platforms
â Agile development
â Data Integration
ï§ Data Quality
â User input data
â Data standardization
35. Key Learnings
ï§ Self Service
â Making data accessible to key stakeholders in a timely
manner creates tremendous value.
â Viz is more important than we think
âą Measuring your future investments
â Performance is not the only measure
â Company fundamentals matter
âą As an Data team, be in control of your destiny
â Identify what to measure and lead by metrics
â Become the Think-tank