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DISPELLING DATA MYTHSDISPELLING DATA MYTHSDISPELLING DATA MYTHSDISPELLING DATA MYTHS
How to Make Your Data How to Make Your Data How to Make Your Data How to Make Your Data Work for YouWork for YouWork for YouWork for You
1
www.liscchicago.org
@liscchicago
January 7, 2016
Taryn Roch
@Taryn_Roch
•Interactive Interactive Interactive Interactive –––– learn from each otherlearn from each otherlearn from each otherlearn from each other
•Identify and discuss data mythsIdentify and discuss data mythsIdentify and discuss data mythsIdentify and discuss data myths
•Create alternatives that work for usCreate alternatives that work for usCreate alternatives that work for usCreate alternatives that work for us
session outcomes
What has been your experience with data to date?What has been your experience with data to date?What has been your experience with data to date?What has been your experience with data to date?
spectogram #1
negativenegativenegativenegativepositivepositivepositivepositive
How much do you agree or disagree with the How much do you agree or disagree with the How much do you agree or disagree with the How much do you agree or disagree with the
following statement following statement following statement following statement –––– “data is a necessary evil”“data is a necessary evil”“data is a necessary evil”“data is a necessary evil”
spectogram #2
100% agree100% agree100% agree100% agree 0% agree0% agree0% agree0% agree
To what extent do you feel you ‘have control” over To what extent do you feel you ‘have control” over To what extent do you feel you ‘have control” over To what extent do you feel you ‘have control” over
your own metrics?your own metrics?your own metrics?your own metrics?
spectogram #3
100% control100% control100% control100% control 0% control0% control0% control0% control
who’s in the room?
•NameNameNameName
•Organization, location, roleOrganization, location, roleOrganization, location, roleOrganization, location, role
•Why are you here/Why are you here/Why are you here/Why are you here/
One thing you hope to get out of this session/One thing you hope to get out of this session/One thing you hope to get out of this session/One thing you hope to get out of this session/
Your biggest data challengeYour biggest data challengeYour biggest data challengeYour biggest data challenge
1640-50; < Latin: a thing given
pluralpluralpluralplural nounnounnounnoun
1. a1. a1. a1. a seriesseriesseriesseries ofofofof observations,observations,observations,observations, measurements,measurements,measurements,measurements, orororor facts;facts;facts;facts; informationinformationinformationinformation
2. (2. (2. (2. (computing)computing)computing)computing) AlsoAlsoAlsoAlso calledcalledcalledcalled information.information.information.information. thethethethe informationinformationinformationinformation operatedoperatedoperatedoperated
onononon by aby aby aby a computercomputercomputercomputer programprogramprogramprogram
what are data?
“Data are experiences, thoughts, movement, ideas, “Data are experiences, thoughts, movement, ideas, “Data are experiences, thoughts, movement, ideas, “Data are experiences, thoughts, movement, ideas,
interactions and more that are interactions and more that are interactions and more that are interactions and more that are capturedcapturedcapturedcaptured and and and and stored”stored”stored”stored”
Data = raw resource, invaluable unless pulled out, Data = raw resource, invaluable unless pulled out, Data = raw resource, invaluable unless pulled out, Data = raw resource, invaluable unless pulled out,
processed, and packagedprocessed, and packagedprocessed, and packagedprocessed, and packaged
what are data (really)?
Andrew Means, theimpactlab.co/
if you’re not engaged
in big data analytics …
Majority of nonprofits rate “assistance with big Majority of nonprofits rate “assistance with big Majority of nonprofits rate “assistance with big Majority of nonprofits rate “assistance with big
data analytics” as one of their top skills needs data analytics” as one of their top skills needs data analytics” as one of their top skills needs data analytics” as one of their top skills needs
when it comes to datawhen it comes to datawhen it comes to datawhen it comes to data
Chicago School of Data Survey, Fall 2014
#1
Volume:Volume:Volume:Volume:
Deals Deals Deals Deals with petabytes with petabytes with petabytes with petabytes or or or or exabytesexabytesexabytesexabytes of of of of datadatadatadata
2 2 2 2 petabytes equals all research in US academic libraries; petabytes equals all research in US academic libraries; petabytes equals all research in US academic libraries; petabytes equals all research in US academic libraries; exabyteexabyteexabyteexabyte is one billion is one billion is one billion is one billion
gigabytesgigabytesgigabytesgigabytes
what are BIG data?
VarietyVarietyVarietyVariety::::
data produced in many different forms data produced in many different forms data produced in many different forms data produced in many different forms –––– sensors, sensors, sensors, sensors, gpsgpsgpsgps signals, social media posts, signals, social media posts, signals, social media posts, signals, social media posts,
financial financial financial financial transactions, etc.transactions, etc.transactions, etc.transactions, etc.
uuuunstructured; nstructured; nstructured; nstructured; semistructuredsemistructuredsemistructuredsemistructured
Velocity:Velocity:Velocity:Velocity:
real time or nearly real time informationreal time or nearly real time informationreal time or nearly real time informationreal time or nearly real time information
https://hbr.org/2012/10/big-data-the-management-revolution/ar
Community Coordination - 94Citizen participation, neighborhood and community organization, information and referrals
Emergency Services - 91Food Pantries, energy assistance homeless shelters, domestic violence
Education - 89Head Start, youth mentoring ,literacy, Adult Basic Education
Food and Nutrition - 84 Meals on Wheels, congregate feeding, food banks
Family Development - 68 Day care, case management, counseling, support
Training/Employment - 63Job readiness, job training, and job creation
Income Management - 53 Budget Counseling
Transportation - 49Rural transportation systems, on-demand transportation
Housing - 46 Self-help housing, homeownership, rental assistance, Weatherization
Economic Development - 39 Business planning and loans, water and sewer
Health Care - 29Health Clinics, WIC, prescription assistance
The average population a CAA serves is approximately 300,000 people.
http://www.communityactionpartnership.com/
the power of
predictive analytics
chicago health atlas
#2
long term impacts with
short term interventions
• Outcomes need to be right sizedOutcomes need to be right sizedOutcomes need to be right sizedOutcomes need to be right sized
• “Getting on a trajectory” rather than achieving“Getting on a trajectory” rather than achieving“Getting on a trajectory” rather than achieving“Getting on a trajectory” rather than achieving
• Moving out of poverty is a long term project that Moving out of poverty is a long term project that Moving out of poverty is a long term project that Moving out of poverty is a long term project that
requires sustained supportrequires sustained supportrequires sustained supportrequires sustained support
#3
population/community level change
is within our control
http://www.voorheescenter.com/#!gentrification-index/ccmx
#4
RCTs are the only way . . . #5
by the press of a button . . .
• Use excel or other low cost option until you know the level of Use excel or other low cost option until you know the level of Use excel or other low cost option until you know the level of Use excel or other low cost option until you know the level of
sophistication you’ll needsophistication you’ll needsophistication you’ll needsophistication you’ll need
• What is essential to track and what is not? What is essential to track and what is not? What is essential to track and what is not? What is essential to track and what is not?
• “Pressing a button” will never be enough “Pressing a button” will never be enough “Pressing a button” will never be enough “Pressing a button” will never be enough –––– will require will require will require will require
maintenance, quality control, ongoing analysismaintenance, quality control, ongoing analysismaintenance, quality control, ongoing analysismaintenance, quality control, ongoing analysis
#6
needs to be beautiful to be meaningful#7
Households with children in large cities that are food-insecure: 25 percent.
People in the US experiencing poverty by age 65: Roughly half.
Jobs in the US paying less than $34,000 a year: 50 percent.
Jobs in the US paying below the poverty line for a family of four, less than $23,000
annually: 25 percent.
Poverty-level wages, 2011: 28 percent of workers.
Low-income families that were working in 2011: More than 70 percent.
http://www.thenation.com/article/week-poverty-place-table-and-american-winter/
Some data Some data Some data Some data visualization tools/software:visualization tools/software:visualization tools/software:visualization tools/software:
TableauTableauTableauTableau
PiktochartPiktochartPiktochartPiktochart
InfogramInfogramInfogramInfogram
DatawrapperDatawrapperDatawrapperDatawrapper
QgisQgisQgisQgis as an alternative to GISas an alternative to GISas an alternative to GISas an alternative to GIS
human impact genome
http://www.missionmeasurement.com/impact-genome-project-keynote/
efficacy rate: percentage of your client base that will achieve
positive impact
e.g.: serve 1000 clients with job placement services,
half get jobs; efficacy rate is 50%
compare across service providers to get the biggest return
on investment
1.1.1.1. Big data analyticsBig data analyticsBig data analyticsBig data analytics
2.2.2.2. Power of predictive analyticsPower of predictive analyticsPower of predictive analyticsPower of predictive analytics
3.3.3.3. Long term impacts for short term interventionsLong term impacts for short term interventionsLong term impacts for short term interventionsLong term impacts for short term interventions
4.4.4.4. We can control population/community level changeWe can control population/community level changeWe can control population/community level changeWe can control population/community level change
5.5.5.5. RCTs are the answerRCTs are the answerRCTs are the answerRCTs are the answer
6.6.6.6. Press of a buttonPress of a buttonPress of a buttonPress of a button
7.7.7.7. Beautiful to be meaningfulBeautiful to be meaningfulBeautiful to be meaningfulBeautiful to be meaningful
Human impact genomeHuman impact genomeHuman impact genomeHuman impact genome
recap
