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Becoming a Data Detective Cracking the Case of Better Decision Making and Culture Change

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Title: Becoming a Data Detective Cracking the Case of Better Decision Making and Culture Change


1
Becoming a Data Detective - Cracking the Case of
Better Decision Making and Culture Change
The Government Finance Officers Association
  • Presented by
  • Laurie Ohmann, The Public Strategies Group
    Chris Swanson, Municast

2
  • Using Data for Decision-Making Culture Change

3
Being a Data Detective
  • Detective
  • one employed or engaged in detecting lawbreakers
    or in
  • getting information that is not readily or
    publicly accessible
  • Merriam-Webster Online

4
Cracking the Case
  • Creating a culture of data-driven decision making
    is a journey
  • Movement
  • Away from culture of judgment and gotcha
    mentality
  • To culture of learning and improvement
  • Is both strategic and tactical

5
Cracking the Case
  • Strategic
  • Accountability to your customers
  • Understand gap between desired and current
    performance looks for patterns trends
  • Begs questions about which path to pursue
  • Anticipates issues and challenges

6
Cracking the Case
  • Tactical
  • The how of implementing strategy
  • More management than leadership - but great
    management required!
  • Can utilize a range of tools for data collection
    analysis

7
Data-driven Framework
  • Chart
  • Explore
  • Discover

8
Data-driven Framework
  • Charting
  • Start with organizational results
  • Paint the big picture
  • Create a strategy map of the important levers in
    getting from here to there

9

10
Charting the Course
  • Clarify the Data Plan
  • What do we want to accomplish?
  • What data do we need to do that?
  • How will the data be used?
  • By whom? What are their expectations?
  • How do our customers fit into this?

11
Lessons from Charting
  • Limit the number of key results for the
    organization
  • Align performance metrics and data collection
    from the top down through the organization
  • Dont make data collection onerous

12
Data-driven Framework
  • Chart
  • Explore
  • Discover

13
Exploring the Data
  • From Data to Information
  • Tests the theory of the enterprise
  • Includes data analysis quality control
  • Works the data by linking, uncovering details
    or themes, or envisioning it from others
    perspective

14
Lessons from Exploring
  • Use both performance and diagnostic data
  • Being in the question takes practice!

15
Data-driven Framework
  • Chart
  • Explore
  • Discover

16
Data Discovery
  • Putting the pieces together to draw conclusions
  • Learning the a-ha moments
  • Moving from understanding to action

17
Lessons from Discovery
  • Talk about the data and what youre learning
  • Have learning be consequential

18
Data-Driven Decisions
  • Requires an investment in collecting the right
    data
  • Getting it right, or at least better, takes time
    and attention
  • Happen more frequently if managers at all levels
    talk about data and have consequential actions
    from their learning

19
  • Using Data for Trend Correlation Analysis

20
Key Data Variables
  • Key Variables to Collect and Analyze
  • Financial History
  • Economic Indicators
  • Operating Metrics

21
Trend and Correlation Analysis
  • Analyze trends in recurring revenues and spending
    determine annual growth rate by account type,
    and other key metrics such as per capita and of
    total measurements.
  • Identify recurring and non-recurring factors
    impacting revenue and spending growth.
  • Analyze relationships between major variables
    such as, property and sales tax revenues compared
    with residential and commercial development,
    economic cycles, population growth, etc.

22
Collect Key Indicators
23
Trend Analysis - Ex Property Tax, Annual Change
24
Trend Analysis - Ex Licenses and Permits, Per
Capita
25
Trend Analysis - Ex Charge for Services, of
Total
26
Correlation Analysis Property and Sales Taxes
27
Correlation Analysis Service Charges Per Capita
and CPI
28
Correlation Analysis Public Safety Spending
Crime Rate
29
Use Data for Creating Forecast Assumptions
30
And as the Basis for Sensitivity Analysis
31
Use Same Data For Benchmarking
32
Data Analysis Summary
  • Collect a wide variety of financial, economic and
    operational data to analyze correlations, trends
    and identify key metrics for future measurements.
  • Use same data for preparing and analyzing
    strategic plans, financial summaries, performance
    measurement, long-term financial plans,
    benchmarking and other studies,
  • All of the above can be analyzed with spreadsheet
    software with strong database capabilities such
    as Microsoft Excel.

33
Questions?
34

The Government Finance Officers Association
Give us your feedback http//www.gfoa.org/index.p
hp?optioncom_contenttaskviewid797Itemid1
  • Future Internet Courses
  • November 5, 2008 - Transcending the Cost of
    Mistrust
  • December 11, 2008 - Creating Radical Change in
    Internal Services The Iowa
    Experience

35
Contacts
  • Laurie Ohmann, CEO, The Public Strategies Group
  • www.psg.us
  • Email laurie_at_psg.us
  • Phone (651) 227-9774
  • Chris Swanson, Government Finance Research Group
    (GFRG)/Municast
  • www.municast.com
  • Email Chris_at_MuniCast.com
  • Phone (949) 412-6078 ?
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