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Jamie Austin
Tipping Point
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tippingpoint.org | @tippingpoint | #beatippingpoint
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THE PROBLEM
Across the Bay Area, there are 1.3 million people who cannot meet their basic needs. More than
11,000 nonprofits provide services to these individuals and families, to varying degrees of
effectiveness.
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WHAT WE DO
We invest in organizations and promote policies that are proven to move people out of poverty:
STRONG EDUCATION
GAINFUL EMPLOYMENT
SAFE + SECURE HOUSING
NUTURING EARLY CHILDHOOD
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22,000PEOPLE ON PATH OUT OF POVERTY LAST YEAR
$200+ MILLIONRAISED
YEARS
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EVERY YEAR, WE START AT ZERO
$95M
LAST YEAR THIS YEAR
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COMMITTED TO DATA
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EAR
LY C
HIL
DH
OO
DED
UC
ATIO
NEM
PLO
YMEN
TH
OU
SIN
G
EARLY CHILDHOOD, 0–5 SCHOOL AGE, 5–18 TRANSITIONAL AGE YOUTH, 18–24 CAREER AGE ADULTS, 24+
PRENATAL CARE
HEALTHY BIRTHWEIGHT
KINDERGARTEN READY
HOMELESSNESS PREVENTION
SECURE HOUSING
MAINTAIN HOUSING
TIPPING POINT’S OUTCOMES: CORE METRICS
3RD GRADE MATH + READING PROFICIENCY
8TH GRADE MATH + READING PROFICIENCY
HIGH SCHOOL GRADUATION OR GED
POST-SECONDARY ENROLLMENT + PERSISTENCE
SECURE EMPLOYMENT
MAINTAIN EMPLOYMENT
COLLEGE DEGREE + VOCATIONAL CERTIFICATES
INCREASED EARNINGS
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Example 1: Proficiency data
• What’s in the data?
• 2016- 17 proficiency data for 3rd grade and 8th grade students in the Bay Area
• Each line represents a school, district or county
• Each column represents number of students, grade, proficiency, entity, type of test, etc.
• Demographic data
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Example 1: Proficiency data
Trifacta demo
1. Each file: delimit, split into columns, replace / and convert row 1 to header 2. Use “union” to append 9 csv files together 3. Join newly created file with demographic csv 4. Replace * and double spaces5. Reconfigure column order 6. Concatenate columns 7. Rename columns 8. Change data types
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Example 2: Wage data from Employment Department
What’s in the data?
• Multiple years of wage data for cohorts of individuals
• Average, median and standard deviation for each year of data
• Each tab represented a different client or program variable
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Example 2: Wage data from Employment Department
What’s in the data?
• Multiple years of wage data for cohorts of individuals
• Average, median and standard deviation for each year of data
• Each tab represented a different client or program variable
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Example 2: Wage data from Employment Department
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ACCESSING GOVERNMENT DATA: PROGRAM IMPROVEMENT
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ACCESSING GOVERNMENT DATA: COMMUNICATING IMPACT
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tippingpoint.org | @tippingpoint | #beatippingpoint
JAMIE AUSTIN, SENIOR DIRECTOR OF INSIGHTS + ANALYTICS
@jamieaustinSF
tippingpoint.org
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DATA SCIENCE
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INSIGHTS FROM CORE METRICS
$13.72
$19.06
$25.46
HOURLY WAGE AT PLACEMENT
Low-Skill Mid-Skill Advanced-Mid Skill
Understand need
Compare to other organizations
Gain insights
8th Grade Reading Proficiency
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INSIGHTS FROM CORE METRICS
$13.72
$19.06
$25.46
HOURLY WAGE AT PLACEMENT
Low-Skill Mid-Skill Advanced-Mid Skill
Understand need
Compare to other organizations
Gain insights
8th Grade Reading Proficiency
