The document discusses building a data fluent organization. It defines data fluency as the ability to fluidly exchange and explore ideas within an organization using the language of data. It presents a data fluency framework that identifies the key elements needed for an organization to unlock the value in their data, including having data literate consumers who can understand and draw meaning from data, data producers who can create effective data products, and an ecosystem that supports sharing data products. The framework emphasizes that for data to have value, an organization needs the right skills, culture, processes, and technologies to allow fluid movement and sharing of ideas through data.

1. Zach Gemignani,
Founder & CEO, Juice Analytics
Building a
DATA FLUENT
ORGANIZATION

2. Day after day, day after day,
We stuck, nor breath nor
motion;
As idle as a painted ship
Upon a painted ocean.
!
Water, water, every where,
And all the boards did shrink;
Water, water, every where,
Nor any drop to drink.
!
— The Rime of the Ancient
Mariner, Samuel Coleridge

5. Has big data failed to meet expectations?
Gartner Hype Cycle
Forbes, 2/14/14
Big Data

6. We need to refine data into products and
decisions that drive your organization forward
http://www.flickr.com/photos/rocor/6398436515

7. Lots of problems, lots of solutions
Spreadsheet
proliferation
Lack of BI adoption
Ivory-tower analytics
Stuck data
warehouse projects
Many, disparate
data sources
Inaccessible
reporting
Lack of management
support for data projects
Data scientists
Dashboards
Data visualization
and storytelling
Big Data
Technologies
ROI-justification of
data projects
Self-service BI
Master Data
Management
Cross-trained
analysts

8. What does it take for an organization
to be able to unlock the value in their
data?
What skills, culture, processes, and
technologies are required?
https://www.flickr.com/photos/kebabette/229919555/

9. Data fluency: the ability to use the
language of data to fluidly exchange
and explore ideas within your
organization
Data fluency

10. The focus of data fluency
People & skills
Communication
Leadership
Technology
More data
Tools

11. Data Fluency Framework
Data product
authoring
Data fluent
culture
Data
ecosystem
Data Consumers Data Producers
Individual
Organization
Data literate
consumers

12. Data Literate Consumers
Language of data
Critical
consumer
How to find
insights
Data sources

13. Fantasy Football
25 million football
fans transformed into
sophisticated data
consumers

14. Data Producers
Message &
audience
Data visualization
Data storytelling
Form, aesthetics
User actions

15. Rising standards for data viz

16. Leaders set expectations
Shared language
Well-understood key metrics
Data Fluent Culture

17. Apple App Ecosystem
App Store
iOS SDK
App Store sales and reviews
iOS device users
Developer rules & tools

18. Data Ecosystem
Development tools
Standards and
training
Feedback and
improvement
Discoverability and
sharing
An environment that supports fluid movement
and sharing of ideas through data
Data users

19. Data Fluency Framework
Data Consumers Data Producers
Individual
Organization
Ability to
understand and
draw meaning
from data
products
Skills to create
effective data
products
Ecosystem for
building and
sharing data
products
Foundation for
common
interpretation
of data
products

20. So you’ve got Big Data…
You have all the data and
technology you need
Data is only as good as the people
using it
Shared understanding and
communication is the missing link

21. Healthcare, advertising
& media, marketing
A decade of working with
businesses who wonder:
“How can I get more value
from my data?”
Web dashboards
Visualizations
Analytical tools