Active Insight Overview


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ActiveInsight offers real-time, value-based detection and reaction to complex event patterns. This presentation presents an overview of the business needs, ActiveInsight's features and several relevant use-cases.see for more information.

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  • ActiveInsight can also be used for security applications as well such as assistance in Online Fraud Detection and Security Events and Information Management
  • Active Insight Overview

    1. 2. Real-time Event Stream Processing General Overview ACTIVE INSIGHT
    2. 3. Background - Events are All Around Us <ul><li>Traditional Systems </li></ul><ul><li>Orders </li></ul><ul><li>Inquiries </li></ul><ul><li>Airline Reservations </li></ul><ul><li>ATM Transactions </li></ul><ul><li>Insurance Claims </li></ul><ul><li>Transactional Systems </li></ul><ul><li>Telecom CDR’s </li></ul><ul><li>Financial trade “ticks” </li></ul><ul><li>News feeds </li></ul><ul><li>Credit card transactions </li></ul><ul><li>Micro payments </li></ul><ul><li>Sensor Systems </li></ul><ul><li>RFID </li></ul><ul><li>Wireless location services (LBS) </li></ul><ul><li>Satellite, GPS </li></ul><ul><li>RFID </li></ul><ul><li>Bar-code feeds </li></ul><ul><li>Factory floor </li></ul><ul><li>WEB </li></ul><ul><li>Gambling </li></ul><ul><li>Gaming </li></ul><ul><li>ecommerce </li></ul><ul><li>Click stream </li></ul><ul><li>RSS </li></ul><ul><li>ATOM </li></ul><ul><li>Email </li></ul>Multiple Event Streams and Sources
    3. 4. Background – Business is Changing <ul><li>The world is becoming digital </li></ul><ul><li>Extreme Transaction Computing changes the stock market </li></ul><ul><li>Large web site traffic reaches extreme transaction rates </li></ul><ul><li>Online interaction grows but conversion rates remain low </li></ul><ul><li>Cloud computing and Online Gaming accelerate the online channel </li></ul><ul><li>Numerous use-cases emerge for real-time pattern based processing, detection and reaction: </li></ul><ul><ul><li>Online Marketing, Sales and Self-Service </li></ul></ul><ul><ul><li>Online Gaming & Gambling </li></ul></ul><ul><ul><li>Brokerage & Algo-Trading </li></ul></ul>
    4. 5. Food for Thought <ul><li>“ Subscriber information owned and continuously gathered by service providers offers </li></ul><ul><li>unprecedented insights into the behaviors of consumer and business customers . This </li></ul><ul><li>information represents the crown jewels, or treasure, of the telecommunications </li></ul><ul><li>service providers. However, the volume of data involved is increasing exponentially </li></ul><ul><li>due to the expansion of services and handsets. The pain involved with the new </li></ul><ul><li>volumes of data, as well as the number of systems associated with the data, has </li></ul><ul><li>spurred a new wave of initiatives…” </li></ul><ul><li>IDC June 2009 </li></ul>
    5. 6. <ul><li>Distributed Event Stream Processing Framework </li></ul><ul><ul><li>Real-time event processing </li></ul></ul><ul><ul><li>Multi-source event streams </li></ul></ul><ul><ul><li>Event correlation and aggregation </li></ul></ul><ul><ul><li>Pattern matching </li></ul></ul><ul><ul><li>Integrated data caching </li></ul></ul><ul><ul><li>Embeddable framework </li></ul></ul><ul><ul><li>Scalable, elastic cloud run-time </li></ul></ul>
    6. 7. The Business Need <ul><li>Typical HPC (High-Performance Computing) needs </li></ul><ul><ul><li>Online Gaming : Real-time BI, money laundering, local compliance, application offload </li></ul></ul><ul><ul><li>Algo-Trading : performance/availability improvements and HW cost reduction </li></ul></ul><ul><ul><li>Online Advertisement: Behavioral targeting, multiple site click-stream correlation </li></ul></ul><ul><ul><li>SaaS deployments: Off-loading core applications, offering value added services </li></ul></ul><ul><ul><li>Electrical smart-grid: Detecting misuse, mal-functions, on-demand supply </li></ul></ul><ul><li>Typical E-marketing needs </li></ul><ul><ul><li>Ecommerce : Identifying a customer interested in additional services or products, Improving conversion rates, anonymous user hooking, campaign management </li></ul></ul><ul><ul><li>Self-Service : Identifying potential customer turnover or dissatisfaction, Monitor user experience and assist in transaction completion </li></ul></ul><ul><li>Typical Compliance/Regulation needs </li></ul><ul><ul><li>Auditing: Feeding “Who” did “What” and “When” to auditing and SIEM systems </li></ul></ul><ul><ul><li>Fraud detection: Fraudulent behavior pattern detection, Bot detection, alongside fraud detection systems </li></ul></ul>
    7. 8. Main Technological Challenges <ul><li>Detecting relevant events and behavior in real-time , out of millions of events, without harming application performance and availability </li></ul><ul><li>Reacting to relevant events by feeding various backend applications (CRM, BI, Security, etc.) and/or interacting directly with the user </li></ul><ul><li>Providing a simple, flexible and embeddable solution that can be deployed with existing infrastructure and applications </li></ul><ul><li>De-coupling runtime processing for flexibility and scalability </li></ul>
    8. 9. Unique Value Proposition <ul><li>Embeddable, Real-time data stream processing </li></ul><ul><li>Flexible and dynamic pattern definition/detection </li></ul><ul><li>SpringSource development platform interoperability </li></ul><ul><li>Real-time, pattern-based logic invocation </li></ul><ul><li>Business driven behavior detection </li></ul><ul><li>User-centric actionable events </li></ul><ul><li>Real-time, value-based event feeds & user interactions </li></ul><ul><li>Non-intrusive deployment </li></ul><ul><li>Support for extreme transaction rates </li></ul>“ With ActiveInsight organizations can identify up-sell and cross-sell opportunities, react to potential customer churn in time to prevent it, improve online self-service to customers and detect potential fraudulent activity in real-time “
    9. 10. Example Use Cases <ul><li>Finance </li></ul><ul><li>Customer searches for savings account, compares mortgage types, checks cash-out options, tries to make a deposit or buy stocks... -See more </li></ul><ul><li>Telecom </li></ul><ul><li>Customer checks phone price and features, compares international rates, tries to opt-in for a service... -See more </li></ul><ul><li>Gaming </li></ul><ul><li>Customer fails to cash-in, plays less then X minutes, loses more then $X, must be reported to regulatory application... -See more </li></ul><ul><li>E-Commerce </li></ul><ul><li>Improve conversion rates by actively funneling users, detecting hesitation or potential cart abandonment, optimize coupon usage to high potential customers </li></ul><ul><li>Tourism </li></ul><ul><li>Customer plans expensive multi-stop trip, Anonymous customer checks out ticket prices, tries to make a reservation or stops at phase X... -See more </li></ul>
    10. 11. Use Cases: Financial <ul><li>Up-sell/Cross-sell- Identify customer interest in additional products and services : </li></ul><ul><ul><li>Customer checks current investment status > Is he interested in an updated investment plan ? </li></ul></ul><ul><ul><li>John Smith, 10/08/2008, interested in long term savings, customer type: 3 </li></ul></ul><ul><ul><li>Offer additional services: Savings plans, investment plans, mortgages, loans… </li></ul></ul><ul><ul><li>Hook new customers </li></ul></ul><ul><ul><li>Contact anonymous surfers, showing high potential behavior, using dynamic content </li></ul></ul><ul><ul><li>Customer retention: React to potential customer desertion </li></ul></ul><ul><ul><li>Customer checks savings withdrawal amount > Is he in financial trouble? Does he need a loan ? </li></ul></ul><ul><ul><li>Customer produces specific financial reports > Is he undergoing some kind of financial planning? Is he on his way out? </li></ul></ul><ul><li>Improve transaction completion rates </li></ul><ul><ul><li>Identify problem and offer immediate assistance to stop revenue loss </li></ul></ul><ul><ul><li>Customer fails buying stock </li></ul></ul><ul><ul><li>Customer Fails in a money transfer or a foreign exchange transaction </li></ul></ul><ul><li>Real time customer experience management </li></ul><ul><li>Non-intrusive auditing for security and compliance </li></ul><ul><li>Real time pattern detection to feed Fraud systems and react </li></ul>
    11. 12. Use Cases: Telecom <ul><li>Up-sell/Cross-sell- Identify customer interest in additional products and services : </li></ul><ul><ul><li>Customer browses new phone models: offer coupons, tie to content package </li></ul></ul><ul><ul><li>Customer checks additional service plans and opt-in options – offer focused packages </li></ul></ul><ul><ul><li>Customer downloads themes, ringtones, etc – offer related content </li></ul></ul><ul><ul><li>Hook new customers </li></ul></ul><ul><ul><li>Contact anonymous surfers, showing high potential behavior: “Click here to get the new mobile with a free web package” </li></ul></ul><ul><ul><li>Customer retention: React to potential customer desertion </li></ul></ul><ul><ul><li>Customer checks his monthly balance too often > Is he comparing prices </li></ul></ul><ul><ul><li>Customer checks license agreement </li></ul></ul><ul><li>Improve service consumption rates and self-service </li></ul><ul><ul><li>Customer fails to configure account for international usage > offer immediate assistance to stop revenue loss </li></ul></ul><ul><ul><li>Pre-paid customer fails buying air-time </li></ul></ul><ul><ul><li>Customer fails downloading themes, ringtones, movie-clips </li></ul></ul><ul><li>Real time customer experience management </li></ul><ul><li>Non-intrusive auditing for security and compliance </li></ul>
    12. 13. Q&A Thank you! http://www. activeinsight .net [email_address]