big data for the little guy, intuit
DESCRIPTION
In this presentation Michael J. Radwin talks about the uses of Big Data in a smaller company like Intuit, and how they can still benefit from the same kinds of data that the larger businesses use. Radwin discusses the statistics and data that can be scaled down and managed at a small company level, but also with real life examples of how a family could use it in regards to their spending.TRANSCRIPT
Big Data for the Little Guypowerful data-driven insights for individuals and small businesses
Michael J. Radwin, Intuit Data GroupBig Data Innovation Summit, April 25, 2012
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Big Data for the Little Guy empowers individuals and small
businesses by allowing them to tap the collective wisdom of millions of
fellow Intuit customers.
Big Data for the Little Guypowerful data-driven insights for individuals and small businesses
Intuit is a leader in this trend because we are entrusted with the collective data of our 50 million customers.
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Trends: pools the data of our QuickBooks Online customers and allows small business owners to answer the primal question of how they are doing and what is normal for someone like them.
Is five percent growth normal or better than companies in your area like you?
For example, If you are a roofer in the Bay Area grossing $250,000 a year, is that good or bad?
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Based on a small business’s unique data we offer them customized deals on items they buy, sell and use to run their business that are relevant to them.
EasySaver: a data-driven feature in QuickBooks that helps Small Business owners save real money.
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PayTrends: insights on salaries for a wide range of positions across the USA.
We do this by pooling the aggregated data of our millions of small business customers.
Allows both employers and employees to know what others like them are making.
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Am I spending more or less on groceries, restaurants, or childcare than my neighbors?
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Intuit is proud to have been voted one of the Most Trusted Companies for Privacy in America for the past 5 years running.
We build data-driven innovations on a foundation of
strong privacy and security.
Transaction categorization
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03/11/2011 TRADER JOE'S #127 QPS - LOS ALTOS CA -- 4369 $30.9303/23/2011 TACO BELL #16100161406 - MOUNTAIN VIE CA -- 7336 $3.5803/25/2011 CHILDRENS DSCVRY MUSEU - SAN JOSE CA -- 0092 $120.0004/10/2011 HOUSE OF BAGELS - MOUNTAIN VIE CA -- 1784 $20.4504/11/2011 INTUIT *TURBOTAX - 800-446-8848 CA MAIL/PHONE -- 7830 $19.95
Financial Institution-specific rulesRegular expressions
Trained pattern matchingN-Gram analysis
Synonyms & aliasesPayment, Fee, Transfer, Check logic
Gelocation extraction
3rd-party Business Directory
Intuit-curated Business Directory
Google, Facebook,
etc
Intuit user-defined
categories
Unique IDBusiness nameCategory (primary)Category (secondary)GeolocationTelephone numberURLIntuit small business IDConfidence score
Geolocation
Crowd-sourcing category corrections
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Learning from user feedback to constantly improve transaction categorization accuracy for all.
TurboTax Live Community Search
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1m Q&A15m searches6b pageviews
Most Popular Answers and
Questions
Moderator Selected for this Context
Commercial Graph: Architecture
Business names, address, phone, industry code
Offline ETL and Relationship Mapping
Applications
Request
Response
Consumers, de-duped businesses, categorized income & expenses
Transactions
Invoices, bills,
payments, vendors, customers
