This document outlines an upcoming webinar series on using data for arts administrators. The first webinar, on March 29th, will discuss why data is important. Subsequent webinars on May 17th and June 21st will focus on which data to use and how to present data. The document discusses seeking data to measure impact, define scope, compare performance, diagnose strengths and weaknesses, demonstrate value, and plan for the future. It cautions that data quality depends on its source and credibility, and objectives must align with the selected data. Common misconceptions about data are identified.

1. WHY DATA
WEBINAR 1: What Every Arts
Administrator Needs to Know
March 29th, 2016

2. WHY DATA
WHICH DATA
PRESENTING DATA
Today
May 17th, 2016
June 21st, 2016

3. WHY IS SO MUCH DATA AVAILABLE?

4. DATA & EDUCATION

5. Why Do We Seek Data?

6. WE SEEK DATA TO DEFINE & MEASURE
MEASURE
● Impact of past work

7. WE SEEK DATA TO DEFINE & MEASURE
DEFINE
● Size and Scope

8. WE SEEK DATA TO COMPARE & DIAGNOSE
COMPARE
● To competing entities (creative and other industries)
DIAGNOSE
● Strengths and Weaknesses of jobs and industries

9. WE SEEK DATA TO DEMONSTRATE
● Show Impact to
Forge Partnerships
● Dispel Misbeliefs
about Contribution

10. WE SEEK DATA TO PLAN
● Identify trends
● Benchmarking for
future development

11. UNDERSTAND DATA QUALITY
Be an Effective Data Consumer
DEFINE OBJECTIVES/ SELECT DATA
PRESENTING DATA

12. DEFINE OBJECTIVES/
SELECT DATA
- Know your
audience
- Select data to
support objectives
Key question - Is the data selected
reflective of the nonprofit sector
only, or does it include the
for-profit sector also?

13. Misconception - If it is creative
and it is in my region then
its applicable.
DEFINE OBJECTIVES/
SELECT DATA
- Understand
the nexus
?

14. Misconception - More data is always better.
UNDERSTAND
DATA QUALITY
Accessing Data: Where data
comes from defines what type
of data it is which impacts the
credibility

15. - Types of Data
• National
• Indexes
• Surveys
UNDERSTAND
DATA QUALITY
Misconception - All data is
equally reliable.

16. UNDERSTAND
DATA QUALITY
- Credibility
• Is this plausible
Misconception - This report includes
data, it must be factual regardless of
what we experience first hand.

17. UNDERSTAND
DATA QUALITY
- Type of Regions
Misconception - I can measure just one
job in a single zipcode.
Independent Artists, Writers
And Performers

18. - Data Year
UNDERSTAND
DATA QUALITY
Misconception - The report date
is the same as the data date.

19. Misconception - A single report will
cover everything all our stakeholders
need to know.
PRESENTING DATA
- Presentation
● Qualitative and
Quantitative data
- Distribution

20. Questions and
Answers
Upcoming Webinars
Which Data - May 17
Presenting Data - June 21