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Copyright © 2015 by Juice Inc. Turning Data into Dollars Juice Analytics December 2015

Turning Data into Dollars

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Page 1: Turning Data into Dollars

Copyright © 2015 by Juice Inc.

Turning Data into DollarsJuice AnalyticsDecember 2015

Page 2: Turning Data into Dollars

Copyright © 2015 by Juice Inc.

Turning Data into DollarsJuice AnalyticsDecember 2015

Page 3: Turning Data into Dollars

Copyright © 2015 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

Page 4: Turning Data into Dollars

Copyright © 2015 by Juice Inc.

TOPIC 1DATA as a PRODUCT

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Competing on Analytics (Analytics 1.0)

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salesmarketing

operationsfinance

suppliers

partners

customersExtended enterprise

Enhanced solutions

New data products

Analytics 1.0

the organization

Analytics 3.0

Turning data inside out

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Copyright © 2015 by Juice Inc.(1) The big-data revolution in US health care: Accelerating value and innovation, April 2013, McKinsey & Company

McKinsey & Co. “$300B to $450B in annual cost savings can be achieved through data applications in healthcare (1)”

The Data Product Market

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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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Covert

NewProduct Extensio

n

Data Product Categories

IndirectRevenue

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US News: Direct Revenue

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Volume

LinkedIn: Indirect Revenue

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ADP: Indirect Revenue

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TOPIC 2DATA meets AUDIENCE

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For Analysts For Consumers

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Be a tour guide

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The Larger Audience

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Benchmarks & Comparisons

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Calculated metrics

Make the Data Valuable

3rd party data sources “mashups”Predictive modeling

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Do you have rights to the data?

Is there personal data that should be obscured?

Can it 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?

Data Readiness Checklist

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Example: PrediktoDelivering predictive analytics to maintenance workers

pre

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TOPIC 3DESIGNING your data product

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Self-serve, not self-solve

purposeful design fit users workflow

form follows function right-sized

What goes into the design of a product?

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Volume

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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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 Commerceself service data for site managers

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TOPIC 4Launching a data product

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Volume

Selling

How will it be sold/distributed?

What’s needed to help sell it?

How will you explain it?

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Volume

Delivering

How will user receive it?

Who is delivering?

How do we make delivery successful?

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VolumeSupporting

Who will answer questions, comments, etc.?

How will the product be maintained?

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Volume

Simplicity vs. Simple

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Example: The Essential Economymanual labor workforce data for economic development agencies

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DataSift - 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

Data Product Examples

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Copyright © 2015 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

Juicebox: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

Page 36: Turning Data into Dollars

Copyright © 2015 by Juice Inc.

Thank you@juiceanalytics

[email protected]