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Agenda

• What is Big Data• Example of Big Data• Drivers of Big Data: HIPO vs “Geeks”• Potential of Big Data

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What is Big Data?

• Three V’s of Big Data– Volume– Velocity– Variety

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VOLUME: HOW MUCH DATA?

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Volume: How Much Data?

• Kilo- : 10^3 bytes• Mega- : 10^6 bytes• Tera- : 10^9 bytes• Giga- : 10^12 bytes• Peta- : 10^15 bytes• Exa- : 10^18 bytes• Zetta- : 10^21 bytes• Yotta- : 10^24 bytes

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Volume: How Much Data?

• Kilo- : 10^3 bytes• Mega- : 10^6 bytes• Tera- : 10^9 bytes• Giga- : 10^12 bytes• Peta- : 10^15 bytes• Exa- : 10^18 bytes• Zetta- : 10^21 bytes• Yotta- : 10^24 bytes

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As of 2013

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Volume: How Much Data? (cont.)

HELLA- (~ 10^27 byte)

aka

“HELLUVA-”Gan, Jeremy

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Volume: How Much Data? (cont.)

If we were to take all that information and store it in books, we could cover the entire area of the US or China in 3 layers of books.

Martin Hilbert, Researcher, USC

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VELOCITY: IMMEDIATE & REACTIVE(REAL-TIME DATA ANALYSIS)

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NYSE collects over 1 TB of trade info EACH session

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Modern cars have over HUNDRED sensors

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Google Wallet Debit Card

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iOS7 Location Tracking Map

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NBC The Voice #InstantSave

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Wasabi Waiter

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VARIETY: DATA IN WHAT FORM?

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Tweets

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Facebook: Likes

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Facebook: Mouse Cursor Tracking

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Apple iBeacon

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Variety: Data In What Form?

• Goal– Identify patterns– Gain insights

• Why?– Combine big data with traditional data to better

understand pain points– Mitigate/limit negative impact– Increase/create revenue stream

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THREE V’S + 1 = VERACITY

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Role of Data Scientist

• Keep data organized - accurately• Poor data management quality cost U.S.

economy roughly $3.1 trillion/year

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Role of Data Scientist (cont.)

• Data used correctly could spark limitless potentials– Prevent disease– Combat crime– Revolutionize global R&D– Disrupt conventional business model– Challenge HIPO’s guts

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Role of Data Scientist (cont.)

• Data used correctly could spark limitless potentials– Prevent disease– Combat crime– Revolutionize global R&D– Disrupt conventional business model

–Challenge HIPO’s guts

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DRIVERS OF BIG DATA: HIPO VS “GEEKS” (EXAMPLE)

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2012 Presidential Election

President Barack Obama Gov. Mitt Romney

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HIPO vs Geek

Michael Slaby, CTO, OFA 2008 Harper Reed, CTO, OFA 2012

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Breakdown

• Innovative solution by leveraging big data– Facebook information• Personal interest: Preferences • Location: Hyper-local, better content distribution• Relevant: Contact efficiency

– Push innovation into sales by using data to have a conversation

– Twitter• DM via President and First Lady’s Twitter accounts

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Result

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POTENTIAL OF BIGDATA

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Limitless

• Research by McKinsey in Jan 2013– Companies using large-scale big data to shape

corporate strategy• Example:

– IBM acquiring Kenexa Corp.» Cloud (SAAS foundation) + big data (market insights)» Remove “guess work” – replacing it with precision

• Hiring – Utilize behavioral traits

• Research by Harvard School of Public Health– Big data could effectively prevent TB and shrinkage

of health care costGan, Jeremy

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Harper’s Thought On Healthcare.gov

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Source NYT.com

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