5 practical tips to make a successful big data project
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The document presents five practical tips for managing big data projects in healthcare, emphasizing the need to under-promise and over-deliver, understand user benefits, ensure ease of use, provide real-time insights, and utilize collective intelligence. It discusses challenges related to data volume, velocity, and variety, along with the importance of effective data modeling and analytics. The author, Ori Netzer, underscores the value of these strategies for successful data implementation and patient care.
5 practical tips to make a successful big data project
- 1. 5 Practical Tips for a Big Data Project in Healthcare Ori Netzer, VP Products May 2015 SQream Technologies Ltd - Confidential
- 2. How Do You Fit 3 Elephants & 2 Giraffes in a Car
- 3. Hey! I'm nobody's messenger boy, all right? I'm a delivery boy!
- 4. I’m Not… • I’m not an MD • I’m not a PHD • I’m not a Bioinformatician • I’m not a Data Scientist BUT… I Know what to do with Big Data!
- 5. Big Data Challenges 5SQream Technologies Ltd - Confidential Big Data Volume Velocity Variety Growth rate, history … Throughput – transaction/seconds Data types - logs, video Performance Batch, in-rest, in-motion Work Data modeling, ETL Time Work, storage, ETL, computation
- 6. Tip #1: Under-Promise, Over-Deliver SQream Technologies Ltd - Confidential 6
- 7. Tip #2: What's in it For Me? SQream Technologies Ltd - Confidential 7
- 8. Tip #3: Ease of Use SQream Technologies Ltd - Confidential 8
- 9. Tip #4: Real-Time Insights SQream Technologies Ltd - Confidential 9
- 10. Tip #5: The Wisdom of Crowds SQream Technologies Ltd - Confidential 10
- 12. Real-Time Analytics - Demo
- 13. Fraud Detection
- 14. Visualization Tools - Demo
- 15. Takeaways… • Tip #1: Under-promise, over-deliver • Tip #2: What's in it for me? • Tip #3: Ease of use • Tip #4: Real-time insights • Tip #5: The wisdom of crowds