Welcome!

BFZ Data Fellowship:

Creating a Data Fluent Culture.

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We work for a lasting end to homelessness that leaves no one behind. �We envision a more equitable society where homelessness is never inevitable, inescapable, or a way of life.

Introductions

Our hope with the BFZ Data Fellowship is that it will build the foundation of a broader data-minded network within the BFZ movement.

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Let’s get to know each other!!

• Hi, my name is…
• What’s your role in your organization? What’s your role within the larger community network?
• What is one thing you like about working with data? What is one thing you struggle with when working with data?

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BFZ Data Fellowship: Goals & Expectations

The Fellowship is a group of data-minded individuals all working towards the same goal - helping their communities use data to help end homelessness.

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What we are going to focus on during this fellowship program:

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• Building technical skills in data analysis, visualization, and automation
• Exploring and thinking about ways you can help your train and build skill amongst your local teams to strengthen your community’s data culture.
• Connecting with other analysts working on similar problems and questions to build a network of BFZ Data Leads and strengthen peer to peer working relationships.

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What we can expect our time together to look like:

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• We’ll review and discuss some high-level content structured around building data culture each week to help strengthen our data literacy foundations.
• We’ll also have plenty of opportunities for hands on activity to help build and strengthen our data visualization skills.
• Opportunities to provide feedback and help us strengthen this effort

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Supporting the vision

Agenda

• Creating a Data Fluent Culture
• Breakout Small Group Discussion
• Fellowship Data Tools Overview
• Wrap up by looking ahead

Level-Setting: Visual Analytics & Data Literacy

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How Many 9s?

Now?

How about Now?

Getting a little easier to determine...

Let’s use Visual Analytics!

Guiding Definitions

Data Literacy- as defined by Gartner

• Ability for individuals to read, write and communicate data in context
• INCLUDING understanding data sources, constructs, analytical methods and techniques applied

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Data Fluent- as defined by Zach and Chris Gemignani

• Exchange of ideas about data in a shared language

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The Data Fluency Framework

*Data Fluency, Zach and Chris Gemignani

Data Consumers.

An individual/organization using data as input for further processing.

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Participates in the identification of business rules, data quality rules, and data quality thresholds.

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Helps to maintain data integrity and accuracy by following the established guidelines for accessing, sharing and correcting data.

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Data Authors

Individuals within organization/community who are working with raw data and delivering content that is easy to understand and act on.

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Data authors are comfortable with core statistical concepts and comfortable with cleaning/shaping data sets.

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The author must decide what data is most important to focus on to answer the questions at hand, and how to effectively communicate data to inform thinking and action.

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Data Product EcoSystem

*https://www.juiceanalytics.com/writing/4-components-of-the-data-fluency-framework

Data Fluent Culture

Building a Shared Language

HUD HMIS Shared Language

BFZ BY Name Data Shared Language

How we help others read and understand Data

1 Improvement Medians

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Your improvement medians set starting points or norms to gauge incremental progress on the way to Functional Zero. As shifts occur, new norms are calculated.

2 Shifts + Functional Zero

Your data can show shifts in your system signaling it is performing differently than before.

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Most notably, your data also tracks your progress to and ability to sustain Functional Zero.

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3 Inflow + Outflow

Your data helps you track movement in and out of your system. Disaggregating these metrics can help pinpoint areas of the system that more attention or support may be needed and/or where the system is working.

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Breakout Session!

Let’s spend a few minutes and chat about these two questions:

• Who are the data consumers & authors in our local community?
• What challenges exist with communicating data to these audiences?

� Fellowship Data Tools.

Threading Everything (and Everyone!) Together.

Goodbye Superstore

• Randomly obfuscated data inspired by real HMIS datasets
• Starting with Clients and NHN Survey (Neighbors Helping Neighbors) but will add more as we go
• Will be our common teaching reference points

Meet Our Dummy Data.

Best for… Data Producers

• Anyone who has to create or update data files on a regular basis
• Anyone who spends a lot of time cleaning data before it can be analyzed
• Anyone who loves saving time!

Tableau Prep.

Best for… Data Producers

• Anyone who wants to explore data theories on their own
• Anyone interested in getting their hands dirty with data
• Anyone who has an interest in datavisualization, dashboards, telling data stories...

Tableau Desktop.

Best for… Data Producers AND Data Consumers!

• Anyone who makes data-informed decisions
• Anyone who wants to share dashboards with internal/external stakeholders
• Anyone who wants to democratize data across their organization

Tableau Server.

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Closing Out: What’s to come

Looking Ahead

Here’s a sneak peak at what we’ll be learning about next:

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• Tuesday, June 15th 2:30 pm - 4:00 pm ET: Data Cleaning & Shaping
• Tuesday, July 13th 1:00 pm - 2:30 pm ET: Data & Charts
• Tuesday, July 27th 1:00 pm - 2:30 pm ET: Telling it with a Viz

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Here’s what you can expect from the sessions:

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• We’ve extended the calendars invites to include an additional 30 minutes as a way to offer additional support or proactive time for Fellowship members.
• Each session we'll plan to spend about 20 minutes reviewing big theme content
• The remaining time will be spent with hands on activities to help tie the learning to action
• Our intent is to help you feel more confident about transitioning from the off the shelf data sets utilized in Tableau Desktop 1 Fundamentals

That’s a wrap for today!

If you have not received your Tableau resources or have had issues installing the programs, please let us know. Also, please take the onboarding survey!

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• Lauren D’Amico: ldamico@community.solutions
• Lenny Pierce: lpierce@community.solutions

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If you have not had a chance to take the Tableau Desktop Fundamentals training, please do so soon. This training will help accelerate your Fellowship Learning!

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Q & A

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