Knowledge Work in the Age of Big Data

Post on 27-Jun-2015

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Our work is now measured not just by our resumes or our monthly sales, but in how other people interact with us online. Your work is being watched, and not just by your boss or your customers. LinkedIn uses big data to learn more about our professional lives and connections. Klout and companies like it are using open source analytics tools to quantify our online reputations, assigning us scores and determining who influences whom. Within the workplace, enterprise social networks are beginning to analyze our behavior. Listen and learn about the challenges and opportunities the quantification of work presents.

Transcript of Knowledge Work in the Age of Big Data

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Knowledge Work in the Age

of Big DataBy Klint Finley

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Who I Am

• Journalist for Wired

• Columnist for TechCrunch

• Co-host of Mindful Cyborgs podcast

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What I'm Going to Talk About

• The intersection of big data and work

• Ways businesses are mining employee data

• How algorithms can affect your career

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Let's think about the size of the problem, not the size of

the data set

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What Makes a Data Problem Big?

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Large Data Sets

• Amazon.com

• Google

• Facebook

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Fast/Real Time Data

• Algorithmic Trading

• Twitter

• Traffic patterns

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Unstructured/Multi-structured Data

• Facebook

• Klout

• NSA

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Why are data problems getting big?

• Cheaper storage (SSD)

• Scale Out Architecture (Hadoop)

• More data

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Where is all this data coming from?

• E-Commerce

• Mobile phones

• Social Media

• “Data Exhaust”

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Digital Taylorism

• Taylorism was always flawed

• … and never worked well for white collar work

• But we can monitor employees more effectively now

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Reputation Economy

• E-Bay

• Yelp

• Uber

• oDesk

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Data Darwinism

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Reputation in the Enterprise

• Employees could rank each other

• Chatter

• Work.com

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Quantified Productivity

• Sociometric Solutions

• Evolv

• Enkata

• Deloitte

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Big Brother is Watching You Eat

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The Attention Economy

• Klout

• Kred

• Traackr

• Little Bird

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The Three Factors of Motivation

• Relatedness (meaningfulness)

• Autonomy

• Mastery

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“If you can measure it, someone will, and that

someone should be you. If Klout is going to measure

you, you should at least try to measure yourself.”

-Chris Dancy

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Quantified Self

• Fitness (Fitbit, RunKeeper, etc.)

• Diet/Calories (My Fitness Pal)

• Sleep (Zeo, etc.)

• Mood (Mood Panda, Happiily)

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Self-Surveillance

• Rescue Time

• ThinkUp

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We have a choice...

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Data Darwinism

• Kills autonomy

• Decreases motivation

• Unfair

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Data Empowerment

• Provides for mastery

• Increases autonomy

• Improves motivation

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Keep In Touch

• http://klintfinley.com

• me@klintfinley.com

• @klintron on Twitter