non-profit data: it's about the story (sojust presentation, feb 3 2014)
DESCRIPTION
Nonprofit technology is at a crossroads: the demand is for more, better and completely connected data, but the capacity is limited. Nonprofits don't think of themselves as enterprise data users, so they often approach data management in a way that doesn't support their mission or operational needs. 501Partners offers tips and talking points for keeping your big picture in mind, using your logic model and driving an effective data change process in your organization, with a little help from Lewis Carroll.TRANSCRIPT
NON-PROFIT DATAIT’S ABOUT THE STORY, NOT THE TECHNOLOGY
Sunday, February 2, 14
WIELD DATA WISELY AND WELL
• Introductions and Ground Rules
• Data in 2 Acts:
• Act I: How Information Flows
• Act II: How Information is Stored
• Data in Practice:
• Speaking to Geeks
• Data in the Non-Profit
Sunday, February 2, 14
CHAPTER 1: INTRODUCTIONS AND GROUND RULESOR, GETTING THE LITTLE STUFF OUT OF THE WAY
1.Who am I?
2.Who are you?
3.Why are we here?
4.Ground Rules
Sunday, February 2, 14
YOUR HUMBLE NARRATOR
JENN TAYLORCOO & SENIOR SALESFORCE CONSULTANT, 501PARTNERS LLC
• Almost 20 years coaxing meaning out of data in complex environments
• Translator between business needs and technology for non-profits
• MBA in Nonprofit Management, PMP, and other acronyms besides
Sunday, February 2, 14
WHO ARE YOU?
Executive Directors?
Board members?
Program managers?
Program Staff?
Technologists?
Volunteers?
Grantors?
IMAGE COURTESY ALICE 8TH AT DEVIANTART:HTTP://ALICE8TH.DEVIANTART.COM/ART/WHO-ARE-YOU-ALICE-IN-WONDERLAND-298729487
Sunday, February 2, 14
WHY ARE WE HERE?OR, EVERYTHING I EVER NEEDED TO KNOW ABOUT DATA, I LEARNED FROM A CHILDREN’S BOOK
IMAGE COURTESY LENNY’S ALICE IN WONDERLAND SITE:HTTP://WWW.ALICE-IN-WONDERLAND.NET/ALICEPIC/ALICE-IN-WONDERLAND/1BOOK22.JPG
“Would you tell me, please, which way I ought to go from here?”
“That depends a good deal on where you want to get to,” said the Cat.
“I don’t much care where--” said Alice.
“Then it doesn’t matter which way you go,” said the Cat.
“--so long as I get somewhere,” Alice added as an explanation.
“Oh, you’re sure to do that,” said the Cat, “if you only walk long enough.”
IT ISN’T ABOUT THE DATA.
IT’S ABOUT THE STORY YOU HAVE
TO TELL.
Sunday, February 2, 14
GROUND RULES
You don’t tell a story by carefully plotting out the letters that make up the words that make up the sentences.
You have to know the story you’re trying to tell: first, thesis. Then, main arguments. Then, data.
Outlines improve your stories. Logic models improve your data.
OR, WHY HUMANITIES MAJORS SHOULD NEVER FEAR TECHNOLOGISTS
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
CHAPTER 2: DATA IN 2 ACTSOR, HOW THINGS YOU ALREADY KNOW CAN HELP YOU MANAGE YOUR DATA
1.Act 1: How Information Flows
1.1.Scene 1: Where your logic model is important
1.2.Scene 2: Where your data resembles a butterfly
2.Act 11: How Information is Stored
2.1.Scene 1: Where Excel is not demonized
2.2.Final Scene: Where the human mind is impressive
Sunday, February 2, 14
ACT 1: HOW INFORMATION FLOWS
INPUTS OUTPUTS
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Sunday, February 2, 14
ACT 1: HOW INFORMATION FLOWS
INPUTS OUTPUTS
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Sunday, February 2, 14
ACT 1: HOW INFORMATION FLOWS
INPUTS PROCESS OUTPUTS
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Sunday, February 2, 14
ACT 1: HOW INFORMATION FLOWS
INPUTS PROCESS OUTPUTSSTIMULUS
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
ACT 1: HOW INFORMATION FLOWS
INPUTS PROCESS OUTPUTSSTIMULUS
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
ACT 1: HOW INFORMATION FLOWS
INPUTS PROCESS OUTPUTSSTIMULUS
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
ACT 1: HOW INFORMATION FLOWS
INPUTS PROCESS OUTPUTSSTIMULUS
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
ACT 1: HOW INFORMATION FLOWS
OUTPUTS CONSUMPTIONPROCESSINPUTSSTIMULUS
CHANGES DRIVEN BY ANALYSIS AT EACH STAGE
SCENE 1, WHERE YOUR LOGIC MODEL OUTLINES HOW YOU EXPECT YOUR INFORMATION TO FLOW
Sunday, February 2, 14
ACT 1: HOW INFORMATION FLOWS
OUTPUTS CONSUMPTIONPROCESSINPUTSSTIMULUS
CHANGES DRIVEN BY ANALYSIS AT EACH STAGE
SCENE 1, WHERE YOUR LOGIC MODEL OUTLINES HOW YOU EXPECT YOUR INFORMATION TO FLOW
In the For-Profit world, Supply Chains are managed using the LEAN principal “SIPOC”:
Suppliers Inputs Process/Systems/Activities Outputs Customers
Sunday, February 2, 14
ACT 1: HOW INFORMATION FLOWS
OUTPUTS CONSUMPTIONPROCESSINPUTSSTIMULUS
CHANGES DRIVEN BY ANALYSIS AT EACH STAGE
SCENE 1, WHERE YOUR LOGIC MODEL OUTLINES HOW YOU EXPECT YOUR INFORMATION TO FLOW
In the For-Profit world, Supply Chains are managed using the LEAN principal “SIPOC”:
Suppliers Inputs Process/Systems/Activities Outputs Customers
In Our world, Programs are Created using a Logic Model:
Inputs Activities Outputs Outcomes Impact
Sunday, February 2, 14
ACT 1: HOW INFORMATION FLOWSSCENE 2, WHERE DATA HAS ITS OWN LIFE INSIDE YOUR ORGANIZATION
Capture(
Store(
Manage(&(Use(
Report(and(
Analyze(
Adjust!
Sunday, February 2, 14
ACT 1I: HOW INFORMATION IS STORED
Name Address Phone Donation Amount
John Smith234 State Street, Somerville
MA 02145 617-555-1212 $150
Jane Doe16 A Last Lane, Cambridge,
MA 01212 617-555-1212 $75
When we think about how data is stored, we tend to think it’s a lot like Excel.
And, at it’s simplest, it can be.
OR, A BORING BUT NECESSARY OVERVIEW OF HOW DATA BECOMES INFORMATION
Sunday, February 2, 14
ACT 1I: HOW INFORMATION IS STORED
Name Address Phone Donation Amount
John Smith234 State Street, Somerville
MA 02145 617-555-1212 $150
Jane Doe16 A Last Lane, Cambridge,
MA 01212 617-555-1212 $75
OR, A BORING BUT NECESSARY OVERVIEW OF HOW DATA BECOMES INFORMATION
Sunday, February 2, 14
ACT 1I: HOW INFORMATION IS STORED
Name Address Phone Donation Amount
John Smith234 State Street, Somerville
MA 02145 617-555-1212 $150
Jane Doe16 A Last Lane, Cambridge,
MA 01212 617-555-1212 $75
This structure has limits as you grow. What happens when John Smith donates twice?
OR, A BORING BUT NECESSARY OVERVIEW OF HOW DATA BECOMES INFORMATION
Sunday, February 2, 14
ACT 1I: HOW INFORMATION IS STORED
Name Address Phone
John Smith234 State Street,
Somerville MA 02145 617-555-1212
Jane Doe16 A Last Lane,
Cambridge, MA 01212 617-555-1212
As you move into more complex systems, the layers on top of data storage become important to understand.
Why?
Name Amount Date
John Smith $150 3/1/2012
John Smith $200 5/29/2013
John Smith $50 12/23/2013
Jane Doe $75 12/1/2013
Sunday, February 2, 14
ACT 1I: HOW INFORMATION IS STORED
Even this simple structure can be combined to produce 3 different stories.
Sunday, February 2, 14
ACT 1I: HOW INFORMATION IS STORED
Even this simple structure can be combined to produce 3 different stories.
Name Address Phone Amt 1 Date 1 Amt 2 Date 2
John Smith234 State Street,
Somerville MA 02145 617-555-1212 $150 3/1/2012 $200 5/29/2013
Jane Doe16 A Last Lane, Cambridge, MA
01212617-555-1212 $75 12/1/2013
1. “FLATTENED” WHICH IS VERY HARD TO DO WITHOUT PROGRAMMING, OR A HUMAN
Sunday, February 2, 14
ACT 1I: HOW INFORMATION IS STORED
Even this simple structure can be combined to produce 3 different stories.
Sunday, February 2, 14
Name Address Phone Total Giving
John Smith234 State Street, Somerville
MA 02145 617-555-1212 $400
Jane Doe16 A Last Lane, Cambridge,
MA 01212 617-555-1212 $75
2. “SUMMARY” WHICH GIVES ONE ROW PER PERSON, AND SUMMARIZES THE REST
ACT 1I: HOW INFORMATION IS STORED
Even this simple structure can be combined to produce 3 different stories.
Sunday, February 2, 14
ACT 1I: HOW INFORMATION IS STORED
Even this simple structure can be combined to produce 3 different stories.
Sunday, February 2, 14
Name Address Phone Amount Date
John Smith234 State Street,
Somerville MA 02145 617-555-1212 $150 3/1/2012
John Smith 234 State Street, Somerville MA 02145
617-555-1212 $200 5/29/2013
John Smith234 State Street,
Somerville MA 02145 617-555-1212 $50 12/23/2013
Jane Doe16 A Last Lane, Cambridge, MA
01212617-555-1212 $75 12/1/2013
3. “REPEATING” OR “JOINED” WHICH GIVES ALL THE DATA FOR WHATEVER HAS THE MOST ROWS
ACT 1I: HOW INFORMATION IS STORED
Even this simple structure can be combined to produce 3 different stories.
Sunday, February 2, 14
ACT 1I: HOW INFORMATION IS STORED
It isn’t important to understand the technology.It is important to understand what the technology does.
Physical Storage (001101010101)
Database (John, Smith, 123 Street, $150, 80)
System’s Built In Rules (if name not empty, store in Name field in Database)
Complex systems let you define some rules (When we have a donation, we credit the donor and her family)
There is always a screen you enter data into
Human brains apply lots of thinking before and during data input
THE FINAL SCENE, WHERE HUMAN BRAINS REALIZE HOW MUCH THEY TAKE FOR GRANTED
Sunday, February 2, 14
CHAPTER 3: DATA IN PRACTICEOR, WHAT HAPPENS WHEN TECHNOLOGISTS AND REAL PEOPLE COLLIDE AND HOW TO AVOID IT
1. The Seductiveness of Screens and Brains
2. Speaking to Geeks
2.1.Helpful hints to ensure mutual understanding
2.2.Armed with charts, not afraid to use them
Sunday, February 2, 14
DATA IN PRACTICE
OUTPUTS CONSUMPTIONPROCESSINPUTSSTIMULUS
CHANGES DRIVEN BY ANALYSIS AT EACH STAGE
OR, THE EASY SEDUCTIVENESS OF SCREENS AND BRAINS
Sunday, February 2, 14
DATA IN PRACTICE
OUTPUTS CONSUMPTIONPROCESSINPUTSSTIMULUS
CHANGES DRIVEN BY ANALYSIS AT EACH STAGE
OR, THE EASY SEDUCTIVENESS OF SCREENS AND BRAINS
Sunday, February 2, 14
DATA IN PRACTICE
OUTPUTS CONSUMPTIONPROCESSINPUTSSTIMULUS
CHANGES DRIVEN BY ANALYSIS AT EACH STAGE
Most data projects focus on Inputs...because this is where we build screens to shove data into a
database.
It’s usually the most clearly defined piece.
It’s usually the piece a program manager can articulate in her sleep.
OR, THE EASY SEDUCTIVENESS OF SCREENS AND BRAINS
Sunday, February 2, 14
DATA IN PRACTICE
Physical Storage (001101010101)
Database (John, Smith, 123 Street, $150, 80)
System’s Built In Rules (if name not empty, store in Name field in Database)
Complex systems let you define some rules (When we have a donation, we credit the donor and her family)
There is always a screen you enter data into
Human brains apply lots of thinking before and during data input
OR, THE EASY SEDUCTIVENESS OF SCREENS AND BRAINS
Sunday, February 2, 14
DATA IN PRACTICE
Database (John, Smith, 123 Street, $150, 80)
System’s Built In Rules (if name not empty, store in Name field in Database)
Complex systems let you define some rules (When we have a donation, we credit the donor and her family)
There is always a screen you enter data into
Human brains apply lots of thinking before and during data input
OR, THE EASY SEDUCTIVENESS OF SCREENS AND BRAINS
Sunday, February 2, 14
DATA IN PRACTICE
Database (John, Smith, 123 Street, $150, 80)
Complex systems let you define some rules (When we have a donation, we credit the donor and her family)
There is always a screen you enter data into
Human brains apply lots of thinking before and during data input
OR, THE EASY SEDUCTIVENESS OF SCREENS AND BRAINS
Sunday, February 2, 14
DATA IN PRACTICE
Database (John, Smith, 123 Street, $150, 80)
There is always a screen you enter data into
Human brains apply lots of thinking before and during data input
OR, THE EASY SEDUCTIVENESS OF SCREENS AND BRAINS
Sunday, February 2, 14
DATA IN PRACTICE
Database (John, Smith, 123 Street, $150, 80)
There is always a screen you enter data into
Human brains apply lots of thinking before and during data input
OR, THE EASY SEDUCTIVENESS OF SCREENS AND BRAINS
Sunday, February 2, 14
DATA IN PRACTICE
Database (John, Smith, 123 Street, $150, 80)
There is always a screen you enter data into
Human brains apply lots of thinking before and during data input
This is all we really need to get data into a database: a brain, a screen, and storage
OR, THE EASY SEDUCTIVENESS OF SCREENS AND BRAINS
Sunday, February 2, 14
DATA IN PRACTICE
“The twinkling of what?” said the King.
“It began with the tea,” the Hatter replied.
“Of course twinkling begins with a T!” said the King sharply. “Do you take me for a dunce? Go on!”
“I’m a poor man,” the Hatter went on,” and most things twinkled after that--”
Everything goes fine at first. After a year or so, you need a report.
The results make you think you’re talking to the Mad Hatter. Why?
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
OR, THE EASY SEDUCTIVENESS OF SCREENS AND BRAINS
Sunday, February 2, 14
DATA IN PRACTICEOR, WHAT USUALLY HAPPENS WHEN TECHNOLOGISTS AND REAL PEOPLE COLLIDE
The focus on inputs usually means:
•We probably didn’t document the decisions that sit between the screen and the storage.
•We probably didn’t think about the story the data is trying to tell, and designed for easy storage rather than smart retrieval.
In other words, we focused on the technology and ignored the context.
Sunday, February 2, 14
SPEAKING TO GEEKS
Data, without context, has no meaning.
Data, with context, is information.
Information is how you tell a story.
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
SPEAKING TO GEEKS
Data, without context, has no meaning.
Data, with context, is information.
Information is how you tell a story.
DATA: JOHN, HATTER, TEA, 76, 108
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
SPEAKING TO GEEKS
Data, without context, has no meaning.
Data, with context, is information.
Information is how you tell a story.
DATA: JOHN, HATTER, TEA, 76, 108
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
WHAT’S THE STORY?John hatter, aged 76, drank tea for 108
days straight.
Sunday, February 2, 14
SPEAKING TO GEEKS
Data, without context, has no meaning.
Data, with context, is information.
Information is how you tell a story.
DATA: JOHN, HATTER, TEA, 76, 108
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
WHAT’S THE STORY?John’s occupation is as a hatter. He lives at 76 Tea Road, Apartment 108.
SPEAKING TO GEEKS
Data, without context, has no meaning.
Data, with context, is information.
Information is how you tell a story.
DATA: JOHN, HATTER, TEA, 76, 108
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
SPEAKING TO GEEKS
Data, without context, has no meaning.
Data, with context, is information.
Information is how you tell a story.
DATA: JOHN, HATTER, TEA, 76, 108
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
WHAT’S THE STORY?John works for Hatters, Inc. He is a member of the Tea party. He is 76
years old with an estimated IQ of 108.
SPEAKING TO GEEKS
Data, without context, has no meaning.
Data, with context, is information.
Information is how you tell a story.
DATA: JOHN, HATTER, TEA, 76, 108
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
SPEAKING TO GEEKS
1.Start with the end in mind.
2.Contextualize your data, even if you think your tech team should know by now.
3.Use your logic model to guide discovery on new projects, or add context for report requests.
4.Ask questions! And frame them in the understanding of your logic model, data lifecycle and reality of your organization.
5.Write it out, together, on a whiteboard.
OR, HELPFUL HINTS TO ENSURING “TEA” AND “T” ARE CLEARLY UNDERSTOOD BY ALL
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
“It began with the tea,”
“Of course twinkling begins with a T!”
Sunday, February 2, 14
At what point do people hear about our program?
When do they engage with us?
Why do they engage with us?
What do we need to know to run our programs?
What other data do we or could we collect?
What do we need to know to assess and analyze our programs?
Once someone engages and gives us data, what do we do with it?
Who are the decisionmakers?
What prompts the decision?
What do our program managers need to see on a daily basis to help them during the program?
What do we want to see to help us improve our programs?
What do our grantors want to see?
Who sees and uses our outputs? When? To what purpose?
Are our programs leading to the desired outcomes/impact? How do we know?
OUTPUTS CONSUMPTIONPROCESSINPUTSSTIMULUS
CHANGES DRIVEN BY ANALYSIS AT EACH STAGE
SPEAKING TO GEEKSWHERE YOU ARE ARMED WITH CHARTS AND NOT AFRAID TO USE THEM:
“WHO” AND “WHAT” QUESTIONS
“Who,” “What” and “When” Questions Come First
Sunday, February 2, 14
How, exactly, do we get in front of people?
How do we ensure we get a good response?
How do we ask people to provide information? Paper? Computer?
How do we structure the request for information so that it gets completed, accurately, with all data?
How exactly does the program manager work with the data when it’s “In play”?
How does the data manager transform the data? What decisions are made, when, to what result?
How do we want to view the data? In a single instance? In aggregate?
How do we access reports for daily or ad-hoc use? How do we access reports for quarterly, annual, or aggregate use?
How do we get data in front of the consumer? Internal consumers? External consumers?
How do we expect them to interact with the data? View? Take action?
OUTPUTS CONSUMPTIONPROCESSINPUTSSTIMULUS
CHANGES DRIVEN BY ANALYSIS AT EACH STAGE
SPEAKING TO GEEKSWHERE YOU ARE ARMED WITH CHARTS AND NOT AFRAID TO USE THEM:
“HOW” QUESTIONS
“How” Questions Come After
Sunday, February 2, 14
SPEAKING TO GEEKSWHERE YOU ARE ARMED WITH FEEDBACK LOOPS AND NOT AFRAID TO USE THEM
Capture(
Store(
Manage(&(Use(
Report(and(
Analyze(
Adjust!“Exactly what inputs do we need to collect to support this process?”
“How should the data be stored so we can get to it “in play” and as a
report?”
“Are we able to get to the data when we need it? Immediately and over time? Is it serving our needs and providing the information we
expect?”
“Can we ask questions and get real, valid, useful, accurate answers with a reasonable
amount of work?”
“What have we learned? Can we adjust capture to make reporting easier? What about storage?
What about our processes?”
Sunday, February 2, 14
CHAPTER 4: DATA IN THE NON-PROFITOR, YOU’VE NEARLY MADE IT THROUGH THIS PRESENTATION!
1. In summary....
Sunday, February 2, 14
DATA IN NON-PROFITS
Your organization has more varied, and more
demanding, eyes on your story than ever before.
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Sunday, February 2, 14
DATA IN NON-PROFITS
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Sunday, February 2, 14
DATA IN NON-PROFITS
Grantors and donors say they want you to be
a data-driven organization.
You know you need to be a data-driven
organization.
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
DATA IN NON-PROFITS
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
DATA IN NON-PROFITS
You can make it easier to deal with these
demands by focusing on your mission.
Your mission should always drive your data: collection, storage, and
reports.
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Sunday, February 2, 14
DATA IN NON-PROFITS
IMAGES COURTESY LENNY’S ALICE IN WONDERLAND SITE: HTTP://WWW.ALICE-IN-WONDERLAND.NET
Sunday, February 2, 14
DATA IN NON-PROFITS
Start with the end in mind. Know the story
you need to tell.
Then outline how you’ll get there.
Then worry about the paragraphs, sentences,
and spelling.
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Sunday, February 2, 14
THANK YOU!
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Sunday, February 2, 14