From Data to Insights to Action: When Transactions and Analytics Converge
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Strata San Jose 2016 lightning talk
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From Data to Insights to Action: When Transactions and Analytics Converge
- 1. From Data to Insights to Action: When Transactions and Analytics Converge Copyright © GigaSpaces 2016. All rights reserved. Ali Hodroj VP, Products and Strategy @ahodroj Strata San Jose 2016
- 2. 2 In-Memory Computing Business Portfolio Direct customers 300+ Fortune / Organizations 40+ / 500+ Cloud Customers 75+ ISVs 25+
- 6. 6 Analytics over Transient Data Transactional Data Behavioral Data Edge Data Fraud Detection and Live data marts Personalization and Recommendation Edge Analytics and Operational Intelligence (Financial trades, market data, shopping carts) (Clickstream, Geospatial, Mobile) (Industrial IoT, device data, sensors, signal)
- 8. Decentralized Analytics at the Source (of data) 8 Unified Real-time/Batch Low-Latency Infrastructure (In-Memory Data Grids) Move analytics to the data, not the other way around
- 9. 9 GigaSpaces InsightEdge – http://insightedge.io
- 11. 11 Minimize Airlines Disruptions: Top 5 Largest Worldwide Airline by Fleet Delay Event Processing Analyze and Automate Simulate and Adjust Flight Delay Propagation Event Processing Predict flight delays, passenger misconnects, and crew scheduling bottlenecks Snapshot from Trigger Snapshot Data and build machine learning simulation models to adjust flight propagation rules in real-time Smaller Volume (100s Gigabytes) Larger Volume (10s of Terabytes) Air Traffic Controller Advisor Events
- 12. 12 Minimize Airlines Disruptions: Top 5 Largest Worldwide Airline by Fleet Solution • Spark on top of In-Memory Data grid processing 280K flights & 20 million passengers in real-time • Processing of all flight propagation data under 200 milliseconds (vs. 10 minutes using legacy RDBMS data warehouse) • Democratize data simulation processing over live data snapshots in real- time across the enterprise On-demand Realtime Data snapshots Streaming and event processing
- 13. Check us out at Booth #844! http://insightedge.io @InsightEdgeIO @GigaSpaces
Editor's Notes
- Hybrid transactional analytics is the convergence of data, insights, and action all together in real-time analytics closed-loop in order to build insight-driven business processes and gain competitve advantages. For many enterprises, this is the panacea of the next phase beyond big data: fast data analytics. However, so many challenges still remain in connecting realtime insights into transactional and operational system. This session will address the use cases and experience that GigaSpaces leveraged over a decade in moving from big data analytics or low latency transaction processing to operational intelligences and insight-driven machine to machine automation. Case studies will include retail, transportation, airlines, and telecommunications.
- Increasingly, this is a matter not just of success but also of survival – the survival of your organization and of you yourself as a senior stakeholder in that organization. We are already seeing leading businesses using big data to disrupt markets and threaten their competitors’ traditional value propositions.
- Contextual insights for optimized operations Transactional Data (Fraud Detection) Behavioral Data (Web, mobile, clickstream) for channel retargeting and recommendation Edge Data (sensors, devices) for industrial automation Data analyzed at the edge can drive automated decisions in true real-time. While still maintaining replicated state.