turning data into dollars
TRANSCRIPT
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Turning Data into DollarsJuice Analytics
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1. Data as a product
2. Data meets audience
3. Designing a data product
4. Launching a data product4 Steps toData Monetization
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TOPIC 1
DATA as a PRODUCT
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Competing on Analytics (Analytics 1.0)
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Research report
Internal External
Static summary
Interactive
Target audience...
Delivered as...
Reporting
Dashboards
Data productsInteractive, web-based solutions sold independently or delivered as part of another solution.
Web basedFeature-rich
Solve specific problems
Data products vs. traditional analytics
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New product Product
enhancement
Indirect revenue
Direct Revenue
CovertOvert
Not one size fits all
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US News: Direct Revenue
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LinkedIn: Indirect Revenue
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ADP: Indirect Revenue
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TOPIC 2
DATA meets AUDIENCE
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For Analysts For Consumers
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Be a tour guide
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Not just the immediate audience
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Benchmarks, Comparisons, and Context
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Make the data valuable
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Data Readiness Checklist
Do you have rights to the data?
Can the data be accessed in an automated fashion?
Is there personal data that should be obscured?
Can the data be presented at a level of summarization/granularity that the audience will find most useful?
Does the data need to be transformed to make it useful?
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Example: Predikto
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TOPIC 3
DESIGNING your data product
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Self-serve, not self-solve
purposeful design leading to action fit users workflow
guidance and storytelling
form follows function
right-sized
socialize-able
What goes into the design of a product?
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Consider Degree of Difficulty
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“I’ll get right on that”
“good to know”“neat”
Interesting < Useful < Actionable
Design for action
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Provide Guidance
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284+4.5% v. last month-2.8% v. goal
Q1 2009 Q2 2009 Q3 2009 Q4 20090
100
200
300
400Goal Actual
in Q3 2009the new “Vortex” marketing campaign drove new leads after a slow Q2
Apply Context
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Use Text
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Example: US Chamber of Commerce
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TOPIC 4
Launching a data product
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Selling
How will it be sold/distributed?
What’s needed to help sell it?
How will you explain it?
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Delivering
How will user receive it?
Who is delivering?
How do we make delivery successful?
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Supporting
Who will answer questions, comments, etc.?
How will the product be maintained?
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“Data isn’t like kids you don’t have to pretend to love them equally.”
Amanda Cox, NY Times
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Simplicity vs. Simple
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One Page Business Plan
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Example: The Essential Economy
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Data Product ExamplesDataSift - licenses data from Twitter to aggregate, process and deliver social data to enterprises about their brands.ADP - provides a monthly snapshot of U.S. nonfarm private sector employment based on actual transactional payroll dataPayscale.com - links individuals and businesses to the largest salary profile database in the world. Glassdoor.com - Influence job seekers at the moment they are making the decision whether or not to work for youIndeed.com - Reports for economic forecasting or stock trading models.Compete.com - compare publishers to buy the most efficient trafficAlexa.com - compare publishers to buy the most efficient trafficQuancast.com - compare publishers to buy the most efficient trafficZillow.com - Home values (real and estimated) for all houses in USProjectHoneyPot.org - Black lists of IP addresses or email addresses used in fraud, Botnet activity or forum spam.FICO - Selling scores, such as click scores or any other scores. FICO was one of the first companies to do so.Skift - provide you with the latest intelligence on travel trends.SuperData Research - Data-driven market intelligence on online, mobile and digital gamesFactual - Data on over 600,000 consumer packaged goods in a UPC centric database with ingredients and nutrition information
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Additional reading1. Data Jujitsu by DJ Patil. 2. The evolution of data products by Mike Loukides. 3. John Foreman blog - MailChimp data scientist4. Juice Analytics.com Product Manager’s Checklist
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Our B2B clients (from start-ups to Fortune 500) have launched profitable products with our design and technical guidance
Design and launch data
products
Fruition:Data Product
PlatformData visualization components designed for non-technical end-users
Features for sharing and collaborating on data insights and analysis
A decade of guiding businesses through the process of designing, creating and launching new data products
Recognized thought leaders
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About Juice Analytics
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Our perspective
A decade of working withbusinesses who wonder:“How can I get more valuefrom my data?”
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