cvsuite's webinar: why data? what every arts administrator needs to know
TRANSCRIPT
WHY DATAWEBINAR 1: What Every Arts Administrator Needs to Know
March 29th, 2016
WHY DATA
WHICH DATA
PRESENTING DATA
Today
May 17th, 2016
June 21st, 2016
WHY IS SO MUCH DATA AVAILABLE?
DATA & EDUCATION
Why Do We Seek Data?
WE SEEK DATA TO DEFINE & MEASURE
MEASURE● Impact of past work
WE SEEK DATA TO DEFINE & MEASURE
DEFINE● Size and Scope
WE SEEK DATA TO COMPARE & DIAGNOSE
COMPARE● To competing entities (creative and other industries)DIAGNOSE● Strengths and Weaknesses of jobs and industries
WE SEEK DATA TO DEMONSTRATE
● Show Impact to Forge Partnerships
● Dispel Misbeliefs about Contribution
WE SEEK DATA TO PLAN
● Identify trends● Benchmarking for
future development
UNDERSTAND DATA QUALITY
Be an Effective Data Consumer
DEFINE OBJECTIVES/ SELECT DATA
PRESENTING DATA
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?
Objective:Prove our funding impacted the growth of our local music scene.
Select Data
Misconception - If it is creative and it is in my region thenits applicable.
DEFINE OBJECTIVES/SELECT DATA
- Understand the nexus
Develop an argument, identify data to support it and understand what the nexus is
Nexus - Make certain there is a nexus between the data you are using and the activity you are investigating.
• Know how your data plays out at the micro level. Misconception - If it is creative and
it is in my region then its applicable.
?
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
- Types of Data • National• Indexes• Surveys
UNDERSTAND DATA QUALITY
Misconception - All data is equally reliable.
UNDERSTAND DATA QUALITY
- Credibility• Is this plausible
Misconception - This report includes data, it must be factual regardless of what we experience first hand.
UNDERSTAND DATA QUALITY
- Type of Regions
Misconception - I can measure just one job in a single zipcode.
Independent Artists, WritersAnd Performers
- Data Year
UNDERSTAND DATA QUALITY
Misconception - The report dateis the same as the data date.
Misconception - A single report will cover everything all our stakeholders need to know.
PRESENTING DATA
- Presentation ● Qualitative and
Quantitative data- Distribution
Questions and Answers
Upcoming WebinarsWhich Data - May 17
Presenting Data - June 21