turning data into dollars

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Copyright © 2016 by Juice Inc. Turning Data into Dollars Juice Analytics

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Page 1: Turning Data Into Dollars

Copyright © 2016 by Juice Inc.

Turning Data into DollarsJuice Analytics

Page 2: Turning Data Into Dollars

Copyright © 2016 by Juice Inc.

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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Copyright © 2016 by Juice Inc.

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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Copyright © 2016 by Juice Inc.

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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Copyright © 2016 by Juice Inc.

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

On Amazon

About Juice Analytics

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Copyright © 2016 by Juice Inc.

Our perspective

A decade of working withbusinesses who wonder:“How can I get more valuefrom my data?”

• Web dashboards• Visualizations• Analytical tools

We work with great companies!

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Copyright © 2016 by Juice Inc.

Thank you@juiceanalytics

[email protected]