Turning Data Into Dollars

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

1. Data as a product
2. Data meets audience
3. Designing a data product
4. Launching a data product
4 Steps to
Data Monetization

TOPIC 1
DATA as a
PRODUCT

Competing on Analytics (Analytics 1.0)

Research report
Internal External
Static
summary
Interactive
Target audience...
Delivered as...
Reporting
Dashboards
Data products
Interactive, web-based
solutions sold
independently or delivered
as part of another solution.
Web based
Feature-rich
Solve
specific
problems
Data products vs. traditional analytics

New
product
Product
enhancement
Indirect revenue
Direct
Revenue
CovertOvert
Not one size fits all

US News: Direct Revenue

LinkedIn: Indirect Revenue

ADP: Indirect Revenue

TOPIC 2
DATA meets
AUDIENCE

For Analysts For Consumers

Be a tour guide

Not just the immediate audience

Benchmarks, Comparisons, and Context

Make the data valuable

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?

Example: Predikto

TOPIC 3
DESIGNING your
data product

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?

Consider Degree of Difficulty

“I’ll get right on that”“good to know”“neat”
Interesting < Useful < Actionable
Design for action

Provide Guidance

284 +4.5% v. last month
-2.8% v. goal
0
100
200
300
400
Q1 2009 Q2 2009 Q3 2009 Q4 2009
Goal Actual
in Q3 2009
the new “Vortex” marketing campaign drove
new leads after a slow Q2
Apply Context

Use Text

Example: US Chamber of Commerce

TOPIC 4
Launching a data
product

Selling
How will it be sold/distributed?
What’s needed to help sell it?
How will you explain it?

Delivering
How will user receive it?
Who is delivering?
How do we make delivery successful?

Supporting
Who will answer questions, comments, etc.?
How will the product be maintained?

“Data isn’t like kids you don’t have to
pretend to love them equally.”
Amanda Cox, NY Times

Simplicity vs. Simple

One Page Business Plan

Example: The Essential Economy

Data Product Examples
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 data
Payscale.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 you
Indeed.com - Reports for economic forecasting or stock trading models.
Compete.com - compare publishers to buy the most efficient traffic
Alexa.com - compare publishers to buy the most efficient traffic
Quancast.com - compare publishers to buy the most efficient traffic
Zillow.com - Home values (real and estimated) for all houses in US
ProjectHoneyPot.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 games
Factual - Data on over 600,000 consumer packaged goods in a UPC centric database with ingredients
and nutrition information

Additional reading
1. Data Jujitsu by DJ Patil.
2. The evolution of data products by Mike Loukides.
3. John Foreman blog - MailChimp data scientist
4. Juice Analytics.com Product Manager’s Checklist

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
Platform
Data 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

Our perspective
A decade of working with
businesses who wonder:
“How can I get more value
from my data?”
• Web dashboards
• Visualizations
• Analytical tools
We work with great companies!

Thank you
@juiceanalytics
info@juiceanalytics.com

Turning Data Into Dollars

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