Finding fraud in large, diverse data sets

Editor's Notes

• #5: 5% of gross business and government returns and operating expenses are lost to fraud This works out to be around $2.9 Trillion dollars – this study was global, done in 2009 by the Association of Certified Fraud ExaminersGlobally, fraudulent use of payment cards (including general purpose and private label credit cards, debit cards and prepaid payment cards) generated $7.6 billion in losses in 2010,up 10.2 percent from the previous year. The United States sustained a disproportionate share of those losses; while the U.S. registered 27 percent of worldwide payment card business in 2010, it reported nearly half (47 percent) of all losses, or $3.56 billion.But again, it’s not just a commercial industry problem, for example, in the US - As much as $26 billion could still be refunded to identity thieves in the next five years if the IRS does not do more to control the problem, the Treasury Inspector General estimated.KwekuAdeboli with Switzerland’s UBS bank was accused of stealing $2.03 billion through false accounting practices [but these large gross errors like Bernie Madoff are actually a drop in the bucket compared to overall fraud or the fact that the center of gravity or median value of a fraudulent scheme is $5K – so it’s really something that is perpetrated by average criminals and has detrimental impact on average individuals [NEXT SLIDE]
• #6: Most of the time fraudulent charges are passed on to us …Directly when someone’s identity is stolen and they have to jump through several costly time consuming hurdles to reestablish their identitiesAnd indirectly when the cost of our medical care, debt taken on because correct and expected levels of tax return revenues are not available and more has to be borrowed by governments – remember the size of the black market economy and tax evasion in Greece is one of the highest in the world, but even on the cost of goods either directly in their pricing or interest rates on our credit cards go up.
• #10: Traditional BI environments are often designed with proprietary technology that is expensive. They were not designed to provide the speed and agility required to integrate the variety of data types we are dealing with today, analyze data in real-time, and generate the intelligence required by the fast-paced demands of today’s changing business environment. Where near real time, iterative, automated and low cost data analytics are not required, these legacy platforms will likely meet business requirements. The question is … is that the world that you live in?
• #11: A vision is great, but technology is makes our vision a reality. Vertica’s innovative technology makes the difference because it was designed from the very first line of code for the new demands of near real time data analytics. RelationalSoftware platform to store, manage, and analyze informationNative COLUMNAR architecture is core, and enables better joins and fundamentally faster analyticsLoad and query simultaneously, dramatically increasing the velocityMPP- Highly scalable, elastic and fully PARALLEL, with commodity hardware and 90% less storage due to compression technology SQL & NoSQLanalytics capabilities Simpleinstallation & use with automaticsetup and tuning
• #12: Key Thoughts:Don’t dig in deep – just highlight that the core foundation of the product is MPP, Optimized HA, and a True Column StoreTMThe key idea is that everything ties into the innovation at the core of the product – every module, feature, function, connector, etc. The extensibility of the platform is ultimately due to the innovation at the coreMention in passing everyone will say “hey – we have a columnar db too”. But we are the only True Column StoreHighlight that our modular approach allows us to innovate more frequently than most- hence a new major release every 6-9 months.
• #13: Key Thoughts:Telstra, Vodaphone, Optus,TimeWarner, Shaw, Bell Mobility are just some of the newer customers to begin using VerticaRefer back to comcast and Trane use cases (network devices and sensors – capture a vast amount of the market with those 2 use cases)CHALLENGESCustomer and product churnCompetitive market with mix of high and low margin productsVolume of data eclipses capabilities of legacy infrastructuresSOLUTIONSAnalyze portfolio for insight into churn and satisfaction Prioritize infrastructure investments in high value, high margin infrastructure and applications via empirical dataStore, access, and monetize via new analytic paradigmBENEFITSHigher customer satisfaction, retention, and profitability Alleviate high cost low value products and servicesDynamically manage and scale portfolio without sacrificing details of any customer, transaction, or product
• #14: Key Thoughts:Telstra, Vodaphone, Optus,TimeWarner, Shaw, Bell Mobility are just some of the newer customers to begin using VerticaRefer back to comcast and Trane use cases (network devices and sensors – capture a vast amount of the market with those 2 use cases)CHALLENGESCustomer and product churnCompetitive market with mix of high and low margin productsVolume of data eclipses capabilities of legacy infrastructuresSOLUTIONSAnalyze portfolio for insight into churn and satisfaction Prioritize infrastructure investments in high value, high margin infrastructure and applications via empirical dataStore, access, and monetize via new analytic paradigmBENEFITSHigher customer satisfaction, retention, and profitability Alleviate high cost low value products and servicesDynamically manage and scale portfolio without sacrificing details of any customer, transaction, or product
• #15: Key Thoughts:Telstra, Vodaphone, Optus,TimeWarner, Shaw, Bell Mobility are just some of the newer customers to begin using VerticaRefer back to comcast and Trane use cases (network devices and sensors – capture a vast amount of the market with those 2 use cases)CHALLENGESCustomer and product churnCompetitive market with mix of high and low margin productsVolume of data eclipses capabilities of legacy infrastructuresSOLUTIONSAnalyze portfolio for insight into churn and satisfaction Prioritize infrastructure investments in high value, high margin infrastructure and applications via empirical dataStore, access, and monetize via new analytic paradigmBENEFITSHigher customer satisfaction, retention, and profitability Alleviate high cost low value products and servicesDynamically manage and scale portfolio without sacrificing details of any customer, transaction, or product
• #16: Key Thoughts:Telstra, Vodaphone, Optus,TimeWarner, Shaw, Bell Mobility are just some of the newer customers to begin using VerticaRefer back to comcast and Trane use cases (network devices and sensors – capture a vast amount of the market with those 2 use cases)CHALLENGESCustomer and product churnCompetitive market with mix of high and low margin productsVolume of data eclipses capabilities of legacy infrastructuresSOLUTIONSAnalyze portfolio for insight into churn and satisfaction Prioritize infrastructure investments in high value, high margin infrastructure and applications via empirical dataStore, access, and monetize via new analytic paradigmBENEFITSHigher customer satisfaction, retention, and profitability Alleviate high cost low value products and servicesDynamically manage and scale portfolio without sacrificing details of any customer, transaction, or product
• #18: Be proactive versus reactiveAnalysis of transaction data can provide a retroactive means of detecting fraud, but real-time use of transaction data can proactively step in to stop fraud.