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Develop Your Analysts,
and They’ll Pay for
Themselves
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Today’s Agenda
2
• Culture - An environment fostering improvement
• Processes – Improvement, not perfection
• Skillsets - Cultivate the right skills
• Involvement – Don’t minimize the analyst role
• Barriers – Getting in and out of the way
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Poll Question #1
If you could hire only one analyst, would you
pick: 97 respondents
3
0% 10% 20% 30% 40% 50% 60%
c) A visualization guru
b) A data wizard
a) A domain expert
Webinar Responses
a. A domain expert - 21%
b. A data wizard - 54%
c. A visualization guru - 24%
HAS15 responses
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What do we mean by “analyst”?
4
Multiple terms…
Encompassing the same skills…
• Architects
• Business Intelligence Developers
• Analysts
• Nerds
• Talking to and manipulating data
• SQL, ETL, modeling, etc.
• Analyzing and communicating results
• Excel, visualization tools, domain expertise, etc.
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Culture
An environment fostering improvement
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Motivating with value and purpose
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• Dan Pink – “What Motivates Us”
• Autonomy- The desire to be self directed
• Mastery- The urge to get better at stuff
• Purpose
Sources: RSA Animate, adapted from Dan Pink's talk at the RSA – “Drive: The surprising truth about what motivates us”
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Purpose
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“It doesn’t make sense to hire smart people and tell them
what to do. We hire smart people to tell us what to do.”
-Steve Jobs
ADOPTIONANALYTICSANALYSTS
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ADOPTION OUTCOMES
IMPROVEMENT
BEST PRACTICES
ANALYTICS
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The role of an analyst is
outcomes improvement
not “building a dashboard”
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Processes
Fail fast
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If data surfaced showing a provider’s dismal
performance, how comfortable would you be presenting
the data in a meeting with that provider present?
0% 10% 20% 30% 40% 50%
e) I'd call in sick
d) I'd hide the provider
names
c) Depends on the provider
b) Slightly comfortable
a) Very comfortable
HAS Attendee
Analyst
Poll Question #2
Webinar responses
a. 29%
b. 18%
c. 34%
d. 18%
e. 1%
130 respondents
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Analytics are still scary
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1. You need a baseline
2. Analysts are the “messengers”
3. Errors are part of the process
Sources: Adapted from various ideas taught by Alistair Cockburn and Martin Fowler – see alistair.cockburn.us and www.thoughtworks.com
But remember:
Agile Development = Trouble Detector
Bad news
is
good news
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Failing Slow
13
The “Right”
Answer?
FailureFailure
Where interest
and momentum
go to die
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Failing Fast
14
The Best
Answer
FailureFailure
Don’t rob your
analyst of
opportunities to
develop
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The answer you find through failure is usually
different and more useful
than the one you find avoiding it
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Skillsets
Cultivate the right skills
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Does this look familiar?
Building some
crappy report for
somebody.
You?
Just waiting on
some crappy
report.
Cool. Cool.
Data Architect Visualization
Specialist
Wall Wall End User
Hey, what are
you guys doing?
What are you
doing over
there?
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Data Architect
Outcomes Analyst
Business Intelligence
Starting knowledge by role…
Data Architecture Visualizations
Analytics
(applying technical results to clinical work)
Data Architect
Outcomes Analyst
Business Intelligence
… to long term knowledge by role
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Questions to start…
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- What are the skills of your analysts?
0
1
2
3
4
5
SQL ETL Data Modeling BI/Dev Data Analysis
Senior Staff Associate
- Where does the team “sit”?
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Why a “generalist”?
20
• Job satisfaction in diversity of work
• Match data model, functionality, and visualizations to the
user request
ANALYTICS END USERSDATA MODELDATA
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Building skillsets
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Hire soft skills
• Smart, hardworking, humble
Inch towards usefulness
• Resources for basic training
• Dummy projects, exercises, training modules along the way
• Contribute small pieces to real projects
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Visual story telling
It is easy to make things hard to understand
23
Simple tools but
profound insights
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The most important question
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Should I use a pie chart?
Yes
No
Sources: Adapted from comedy writer David Thorne – http://www.27bslash6.com/
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Involvement
Don’t minimize the analyst role
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Think of furnishing a room…
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But sometimes we ask the same
thing of our analysts…
“Here’s a spreadsheet of the metrics we need. Now go, be free, and
build us an awesome dashboard”
34. Metric
35. Metric
36. Metric
37. Metric
38. Metric
39. Metric
40. Metric
41. Metric
42. Metric
43. Metric
44. Metric
1. Metric
2. Metric
3. Metric
4. Metric
5. Metric
6. Metric
7. Metric
8. Metric
9. Metric
10. Metric
11. Metric
12. Metric
13. Metric
14. Metric
15. Metric
16. Metric
17. Metric
18. Metric
19. Metric
20. Metric
21. Metric
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24. Metric
25. Metric
26. Metric
27. Metric
28. Metric
29. Metric
30. Metric
31. Metric
32. Metric
33. Metric
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Awesome dashboard v1
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Awesome dashboard v2
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Awesome dashboard v3
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What metrics are you dealing
with?
• Accountability
• Measure and adjust to reduce bias
• Obtain 100% of available and relevant data
• Research
• Designed to eliminate bias
• “Just in case” data
• Improvement
• Accept consistent bias
• “Just enough” data, small sequential samples
Source: ”The Health Care Data Guide – Learning from data for improvement”, Lloyd P. Provost, Sandra K. Murray, Page 27, Table 2.1
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Involve, don’t minimize
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Domain Knowledge
“Snowflake Method”
1. Goal
1. Aim
2. Aim
3. Aim
1. Metric
2. Metric
3. Metric
4. Metric
Curiosity + Passion = Value
UserStories
Sources: Adapted from Randy Ingermanson’s “Snowflake Method” for Designing a Novel – http://www.advancedfictionwriting.com
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Example sepsis “snowflake”
• Goal: Improve early recognition of Sepsis in the
emergency department
• Aim 1: Increase compliance for routine sepsis
screening protocol
• Metric 1: Compliance by location/provider/shift
• Metric 2: Time from arrival to triage
• Metric 3: Mortality rate of screened vs unscreened
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Example revenue cycle user
story
As a Patient Access Manager
I want to ensure patient registration, service authorization
and insurance verification
So that there are no delays in billing, loss of revenue or
patient dissatisfaction
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Do you want metrics
or
smart people using data to think about your problems?
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Barriers
Getting in and out of the way
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Barriers to data
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• Full access to a testing environment
• …an EDW
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Barriers to data
How hard can it be to gather the data for analytics?
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Non value-add Value-add
Understanding the question
Hunting for data
Interpreting data
Data distribution
Gather, compiling or running
Weak Analytic SystemStrong Analytic System
Understanding the question
Hunting for data
Interpreting data
Data distribution
Gather, compiling or running
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Other barriers
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• Access to people
• Kill any “ghosties” haunting your analyst
• Work prioritization
• Technology
“Do I have slow analysts or slow computers?”
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Lessons Learned
40
• Culture – The analyst’s role is outcomes improvement
• Process – Encourage failing fast
• Skillsets – Develop the “generalist”
• Involvement – Applications are not just a technical
problem
• Barriers – Make it easy for them to do their job
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Thank
You
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