Real-time Streaming Analytics: Business Value, Use Cases and Architectural Considerations: Impetus Webinar
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The document discusses the significance of real-time streaming analytics (RTSA) for businesses, emphasizing how timely data processing enhances decision-making, operational efficiency, and revenue opportunities. It differentiates RTSA from batch processing and outlines various use cases, architectural considerations, and the diminishing value of data over time. Recommendations are provided for integrating RTSA into business practices to maximize data utility and create value.
Real-time Streaming Analytics: Business Value, Use Cases and Architectural Considerations: Impetus Webinar
- 1. Real-time Streaming Analytics Business Value, Use Cases and Architectural Considerations Big Data Solutions and Services Partner for Enterprises Anand Venugopal – Sr. Director Business Development Big Data Solutions 1 Yue Cathy Chang – Sr. Director Business Development Alliances and Partnerships
- 3. What if this was happening now to your home ? 3 Recorded version available at http://bit.ly/1i6OrwR
- 4. When do you want to know ? 4 Later or Now ? Recorded version available at http://bit.ly/1i6OrwR
- 5. Your best buddy from school You haven’t met in years 5 Recorded version available at http://bit.ly/1i6OrwR
- 6. Is in Vegas same time as you Your buddy Your buddy YouYou 6 Recorded version available at http://bit.ly/1i6OrwR
- 7. When do you want to know ? After you return or NOW ? 7 Recorded version available at http://bit.ly/1i6OrwR
- 8. • Whether individual or Business • Important things are always happening NOW • NOW is the ONLY time life REALLY happens • Maximize data value process and act sooner! Life is happening NOW Real-time insight preserves or creates value 8
- 9. Topics we will cover today Why ? Business Value What ? Is Real-time Streaming Analytics and what it is not How? Architectural considerations Use cases Who and Where ? What next ? Recommendations 9 Recorded version available at http://bit.ly/1i6OrwR
- 10. What it is NOT • Quick-response interactive analytics on static data • Batch processing • Could be close but still NOT – Micro Batch processing What is Real-time Streaming Analytics ? 10 Recorded version available at http://bit.ly/1i6OrwR
- 11. • Data analyzed in motion – as it arrives • Routine: Monitoring, Counting, Alerting, Reporting • Complex Decision Making with Predictive analytics • Every incoming event is distinctly processible • Receive, Inspect, Analyse, Store, Distribute • Events may be stored later or in parallel • Immediate actions possible after processing What is Real-time Streaming Analytics ? 11 Recorded version available at http://bit.ly/1i6OrwR
- 12. Real time vs. Batch analytics Sec / ms Sec / ms Sec / ms Sec / ms BATCHBATCH Real timeReal time 12 Recorded version available at http://bit.ly/1i6OrwR
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- 14. Topics we will cover today Why ? Business Value What ? Is Real-time Streaming Analytics and what it is not How? Architectural considerations Use cases Who and Where ? What next ? Recommendations 14 Recorded version available at http://bit.ly/1i6OrwR
- 15. Business Value Diminishes with the age of data The drop is non-linear $$$ ? Before • Predictive analytics based on current events • Value depends on accuracy $$ NOW • Real-time • Certainty is high – REAL • Value based on quick response $$$ Later • Descriptiv e • Diagnostic • Least value 15 Value of Data Age of Data
- 16. • Routine business operations (Real time systems) • Cutting preventable losses • Finding and monetizing missed opportunities • More revenue • Cost savings • Creating new opportunities • New Business models (Products, Services, Revenue) Business Value from RTSA 16 Recorded version available at http://bit.ly/1i6OrwR
- 17. Topics we will cover today Why ? Business Value What ? Is Real-time Streaming Analytics and what it is not How? Architectural considerations Use cases Who and Where ? What next ? Recommendations 17 Recorded version available at http://bit.ly/1i6OrwR
- 18. Routine Operations (RT systems) • Manufacturing – Control Systems (Closed loop) • IT - Systems & Network Monitoring • Field Assets Monitoring and Alerting • Trucks, Oil rigs, Vending machines, Radio towers • Financial Transactions Processing • Authentications, Validations, Fraud 18 Recorded version available at http://bit.ly/1i6OrwR
- 19. Cutting Preventable Losses • MH 370 – Loss of lives and assets • GM – Manufacturing defects • Target – Major Security breach • Stock Exchange Meltdown Many headline stories are failures in routine operations and were preventable losses 19 Recorded version available at http://bit.ly/1i6OrwR
- 20. Cutting Preventable Losses (2) • Medical / Clinical – Complex analytics in ICU • Disaster Warning Systems: Chile / Sandy • Brokerage - Fraudulent or Risky Trades • Preventive Maintenance – Machines, Plants • Customer Churn • Brand Reputation on Social Media 20 Recorded version available at http://bit.ly/1i6OrwR
- 21. Missed Opportunities - Revenue • Customer Service always happens in real-time • Listening and Learning from customers (Social) • Context sensitive inventory – Products, Ads • Recommend - Upsell – Cross-sell 21 Recorded version available at http://bit.ly/1i6OrwR
- 22. Missed Opportunities - Efficiency • Operational Efficiency of systems or processes • Network Optimization for cost, quality of service • Dynamic capacity management • Dynamic re-routing of traffic, cargo • Insurance Adjudication – Drone image analysis 22 Recorded version available at http://bit.ly/1i6OrwR
- 23. New Opportunities • Tractors are becoming soil sensors • Information service to farmers • Nike – becoming a healthcare company ?? • Quantified self movement • Telecom giants selling data and insights 23 Recorded version available at http://bit.ly/1i6OrwR
- 24. Business Value of RTSA Summary 24 Recorded version available at http://bit.ly/1i6OrwR
- 25. Topics we will cover today Why ? Business Value What ? Is Real-time Streaming Analytics and what it is not How ? Architectural considerations Use cases Who and Where ? What next ? Recommendations 25 Recorded version available at http://bit.ly/1i6OrwR
- 26. Architectural Considerations (1/3) ALWAYS ACCURATELY APPROPRIATELY 26 Recorded version available at http://bit.ly/1i6OrwR
- 27. Real time + Batch Analytics 27 Recorded version available at http://bit.ly/1i6OrwR
- 28. Real time + Batch Analytics 28 Recorded version available at http://bit.ly/1i6OrwR
- 29. Real time + Batch Analytics 29 Recorded version available at http://bit.ly/1i6OrwR
- 30. Real time + Batch Analytics 30 Recorded version available at http://bit.ly/1i6OrwR
- 31. Real time + Batch Analytics 31 Recorded version available at http://bit.ly/1i6OrwR
- 32. Real-time streaming analytics pipeline and flow 32 Recorded version available at http://bit.ly/1i6OrwR
- 33. Real-time streaming analytics pipeline and flow Scale and Robustness Reliability - Guarantees Publish-Subscribe Flexibility – Dynamic Integration with Batch Loose Coupling Visualization Ease of Administration 33 Recorded version available at http://bit.ly/1i6OrwR
- 34. StreamAnalytix 34 Recorded version available at http://bit.ly/1i6OrwR
- 35. •Proprietary platforms • Vendor lock-in • No leverage of open source movement •Do it yourself • Open source stitch up • Integration and maintenance nightmare • Significant delays in time-to-market Approaches to Stream Analytics 35 Recorded version available at http://bit.ly/1i6OrwR
- 36. • An “App Server” for real-time apps • Based on best-of-breed Open source • Focus on your Business logic leave infrastructure to the platform • Handle all the 3V’s of Big Data in one platform • Seamless integration with Hadoop, NoSQL or any other DB • Rapidly operationalize pre-built analytical models or new ones • Significant time to market acceleration • Impetus provides full product support and professional services Introducing ‘StreamAnalytix’ 36 Recorded version available at http://bit.ly/1i6OrwR
- 37. Topics we will cover today Why ? Business Value What ? Is Real time streaming anaytics and what it is not How? Architectural considerations Use cases Who and Where ? What next ? Recommendations 37 Recorded version available at http://bit.ly/1i6OrwR
- 38. • Important things are always happening NOW • Maximize data value process and act sooner! • There is value – find it Improve Ops, Cut losses, Find missed & new opportunities • Architecture: Sense Analyse Act Sense RECAP 38 Real time insight preserves and creates business value 38
- 39. • Get Real time streaming analytics in your roadmap • Talk to experienced peers and consultants • Start now with opportunities search, solution architecture and vendor conversations • Instrument (SENSE) everything – find gaps and fill • Prove value with “faster batch” with current infra is possible • Establish mechanisms to ACT on the insights • Close the loop – Sense and Analyse effectiveness • DO IT RECOMMENDATIONS 39 Recorded version available at http://bit.ly/1i6OrwR
- 40. Topics we will cover today Why ? Business Value What ? Is Real time streaming anaytics and what it is not How? Architectural considerations Use cases Who and Where ? What next ? Recommendations 40
- 41. Big Data Solutions and Services partner for Enterprises Request a demo of StreamAnalytix bigdata@impetus.com 41 Recorded version available at http://bit.ly/1i6OrwR @impetustech
Editor's Notes
- #2: TITLE: Real-time Streaming Analytics – Business Value, Use Cases and Architectural Considerations Speaker: Anand Venugopal, Sr. Director of Business Development Abstract: As IT and line-of-business executives begin to operationalize Hadoop and MPP based batch big data analytics, it's time to begin to understand and prepare for the next wave of innovation in data processing—Analytics over real-time streaming data. This session will provide an overview and discussion on the business value, use cases and architectural considerations of integrating real-time streaming analytics into your Enterprise Big Data roadmap.
- #42: TITLE: Real-time Streaming Analytics – Business Value, Use Cases and Architectural Considerations Speaker: Anand Venugopal, Sr. Director of Business Development Abstract: As IT and line-of-business executives begin to operationalize Hadoop and MPP based batch big data analytics, it's time to begin to understand and prepare for the next wave of innovation in data processing—Analytics over real-time streaming data. This session will provide an overview and discussion on the business value, use cases and architectural considerations of integrating real-time streaming analytics into your Enterprise Big Data roadmap.