NAWB Annual Forum
March 30, 2015
Share Information, Change the World. Big Data, Small Apps, Smart Dashboards & the New Information Ecosystem
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“Embrace openness, experiment.”
The Challenge…
“Big data is sending ripples through
all sectors of society. We track
everything…this trend is leading to a
critical need for [people] who can
mine and interpret…”
#Music-to-ears
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“Silos – good for farms, not so good for government.”
Secretary of Labor, Tom Perez
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A New Kind of Ecosystem
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Performance Reporting
(Did we meet program goals?)
Intelligence
(How does our labor market
work? Who benefits most?
Where/how do we intervene?)
Overview: WDQI Project
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Presenters
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“A dearth of mechanisms that
process and deliver data to people
is among the biggest gaps…if
there’s a need for government to
open more data, there’s an even
bigger need for someone to design
tools that make sense of the data
that’s already out there.”
Open Data’s Next Move,
Colin Wood, GovTech, March 2015
“Public-ness”
Wisdom
Presenters
Scott WheelerLabor Market & Performance Analysis
WA Employment Security Department
Kristin WolffSenior Analyst
Social Policy Research Associates
Presenters
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Vinz KollerDirector, Technical Assistance & Training
Social Policy Research Associates
Chris GivenCode for America Brigade Education Lead
Social Policy Research Associates
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Turning Workforce Data into Knowledge
By Scott Wheeler
March 30th, 2015
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Presenter
Scott Wheeler
Washington State
Employment Security Department
Labor Market and Performance Analysis
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Finding common ground in
performance management
Goals for a system dashboard
Observing the current environment
Orienting to the environment
Finalizing a draft
Distributing the dashboard
Indicators vs. measures
Improving the dashboard
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Highlights measures common across all
programs
Communicates success/failure clearly to
elected officials, board members, and front-
line staff
Drives continuous improvement
Encourages integration and efficiencies
Goals for a system dashboard
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Beginning from the system’s and program’s
needs
Finding what data is available
Identifying what is required
Inventorying existing measures at the state
and local level
Observing the current environment
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Observing the current environment
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Orienting to the environment
Develop a measurement “buffet” (mock
dashboard)
Communicate with agency & local representatives
Incorporate feedback
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Simplify the measures
Subtract unnecessary measures/data
Improve the report’s “friendliness”
Finalizing a draft
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Distributing the dashboard
Provide the dashboard to all stakeholders
Encourage dissent
Solicit feedback through any means possible
Partner to improve the next version
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Indicators
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Measures
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Improving the dashboard
Eliminate outdated data / unnecessary
measures
Incorporate new data (online job postings,
interstate education outcomes, WIOA
elements)
Provide additional context (labor market data,
training completion, economic trends)
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Thank You!
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DashboardsGateways to
Understanding
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Insert Tesla Dashboard
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DashboardsDefined
a visual displayof
the most important informationneeded to achieve
one or more objectivesthat has been consolidated
on a single computer screenso it can be
monitored at a glanceStephen Few, March 20, 2004
“Dashboard Confusion”
Intelligent Enterprise
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Principles
Use Metrics that Matter
Offer Visual Appeal
Provide Easy Access
Make It Interactive
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Metrics that Matter
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Outcomes and Demographics: • Enrollment, completion
and placement rates overall and by category as well as over time
• Participant demographics, including ethnicity/race, gender, TAA, veteran status, incumbent, and age
• Participant home addresses relative to colleges
Macomb:Key Metrics
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Macomb:Enrollmentand Employment•Enrollment by program type
•Placements by type, employer, and with starting average wage
•Average wage by career pathway
•Average wage of incumbent workers before and after enrollment
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Visual Appeal
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“Clutter and confusion are failures of design, not attributes of information.”
- Edward R. Tufte
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Charting
the
Beatles
ChartingThe
Beatles.com
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Provide Easy Access
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Easy Access
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Make It Interactive
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Make It Interactive
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Make It Interactive
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Interactivity (if possible)
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Potential Pitfalls
Avoid - Too Much Complexity
Data That Is Not Current/ Relevant
Underestimating Maintenance
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Promise
http://www.tableau.com/about/blog/2012/04/guest-post-future-
data-visualization-16578
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Promise
Your Dashboard Here
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data
.gov
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ncd
c.n
oaa.g
ov
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wund
erg
round
.com
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THIS IS AW ESO M E.
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codefo
rdc.g
ithub.io
/ distr icth
ousin
g
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ele
ctionm
ap.w
amu.o
rg
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dcactio
nfo
rchild
ren.o
rg
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ourd
csc
hools.o
rg
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Vinz Koller, [email protected] (@Social_Policy)
Kristin Wolff, [email protected] (@kristinwolff)
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