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APRA Data Analytics Boot Camp Schedule

Download the presentation slides and handouts by visiting http://www.aprahome.org/2014dabc. APRA members- log in with your APRA profile to access the materials. APRA non-members- use username and password "DABC2014" to gain access to the file library. Note: Non-members will not be able to email files to themselves. 

Please note that the schedule is tentative and subject to change. Look for the Data Analytics icon to see to which Body of Knowledge Competencies each session's content aligns.

Symposium on the Best Practices of Analytics
 
Thursday, November 6, 2014

7:00am - 4:30pm Registration Open
7:30am - 8:00am Breakfast provided for attendees
8:00am - 9:30am Opening Session
All Faculty 
Kick-off the Boot Camp with an introduction to the faculty and an overview of what you'll learn and do over the next two days. You'll also have time to network with fellow attendees and begin building professional connections within Data Analytics. 
9:30am - 10:30am

Data Understanding – Opening the Door to Your Data
Kim Blackburn
This session reviews basic database structure, terms related to data and how to get your hands on more of it. We’ll use basic tools like Excel and Access to give examples and talk about other tools available for understanding your data. We’ll also include some basic documentation tips for learning and being able to recreate your work.

Body of Knowledge Data Analytics Domain

This session aligns with these Body of Knowledge Competencies within the Data Analytics Domain: Competency 1: CRISP-DM – Level 1 | Competency 3: Data Manipulation Skills – Level 1 | Competency 2: Project Management – Level 1

10:30am - 10:45am
Coffee & Tea Break
10:45am - 11:45am 

Variables – Prepping Data for Analysis
Audrey Geoffroy
This session will discuss how to translate your data into variables to use for descriptive and predictive analytics. We’ll use Excel formulas to make new variables and discuss the many different kinds of variables you may find useful for your models. We’ll also review other tools for creating new variables, such as SPSS, SQL, Access, and how to automate creation so you don’t start from scratch every time.

Body of Knowledge Data Analytics Domain

This session aligns with these Body of Knowledge Competencies within the Data Analytics Domain: Competency 3: Data Manipulation Skills – Level 1 | Competency 2: Project Management – Level 1 | Competency 7: Project Management – Level 1

11:45am - 1:15pm 
Lunch (On Your Own)
1:15pm - 2:45pm

Exploratory Data Analysis
Audrey Geoffroy
This session will review simple descriptive statistics and discuss the various ways of transforming your variables for modeling, including dummy variable creation, handling missing values, and techniques for normalizing the data.

Body of Knowledge Data Analytics Domain

This session aligns with these Body of Knowledge Competencies within the Data Analytics Domain: Competency 1: CRISP-DM – Level 2 | Competency 9: Change Management / Strategic Thinking – Level 1 | Competency 5: Visualization / Reporting Techniques and Competencies – Level 2

2:45pm - 3:00pm Coffee & Tea Break
3:00pm - 4:30pm

Data Analytics Building a Predictive Forecasting Model: Correlations and Regression Analysis
Dave Robertson
This session examines campaign forecasting using desktop strategies with existing software tools. We will explore simple linear techniques using Microsoft Excel. Our case model will be campaign forecasting however the underlying take away will be simple forecasting methods and model building.

Body of Knowledge Data Analytics Domain

This session aligns with these Body of Knowledge Competencies within the Data Analytics Domain: Competency 1: CRISP-DM – Level 1 | Competency 3: Data Manipulation Skills – Level 1 | Competency 8: Analytics and Campaign – Level 1

   

Friday, November 7, 2014

7:00am - 11:30am Registration Open
7:30am - 8:30am Breakfast provided for attendees 
8:30am - 10:00am

Predictive Modeling: What’s it all about??
Dave Robertson
This session examines campaign forecasting using desktop strategies with existing software tools. We will explore simple linear techniques using Microsoft Excel. You will walk away with a better understanding of correlation construction and statistical linear regression and methodology, which fuels commercial software such as SPSS, SAS and DataDesk.

Body of Knowledge Data Analytics Domain

This session aligns with these Body of Knowledge Competencies within the Data Analytics Domain: Competency 1: CRISP-DM – Level 1 | Competency 3: Data Manipulation Skills – Level 1 | Competency 4: Statistical Techniques and Competencies – Level 1

10:00am - 10:15am
Coffee & Tea Break
10:15am - 11:30am  

Deployment: The Technical Side
Kate Chamberlin
After spending time, effort, and passion on a project, the last thing we want is to fail to deploy it in our organizations. This session will focus on recommendations on the technical side to implement your analytics projects. Some of these ideas will focus on the analyst’s process, including project documentation, dynamic scoring, and monitoring model performance. We will also discuss various ways to transfer the results of your work to other groups for use in their processes, such as using automated feeds for list creation, or dashboards to track program progress. Using the model scores we’ve developed during the Boot Camp as our example, we will show you how easy it is to get started by building an automated algorithm that will enable your IT group to select the next 22 or 2222 best people to include in a prospect list.

Body of Knowledge Data Analytics Domain

This session aligns with these Body of Knowledge Competencies within the Data Analytics Domain: Competency 3: Data Manipulation Skills – Level 2 | Competency 5: Visualization / Reporting Techniques and Competencies – Level 1

11:30am - 1:00pm Lunch provided for attendees (APRA Board Panel)
Jennifer MacCormack, Bond Lammey, Henry Lau, Alison Sommers-Sayre
Engage with some members of the APRA Board at the Board Panel Lunch. Board members will share their stories about data analytics implementation at their own organization in the healthcare and higher-education industries. The panel will be sponsored by Target Analytics.
1:00pm - 2:15pm

Deployment: Storytelling
Kate Chamberlin
In order for our outstanding analysis and brilliant models to have an impact on our operations, we need to bring others on board. The audience for our projects can vary widely from highly analytical and technical colleagues in IT to skilled relaters and storytellers in the fundraising groups. Fundraisers themselves vary in their focus from managers who are highly strategic and take the long view, to tacticians who are focused on immediate results. In order to disseminate the results of our work, we must tell our story in a way that enables our audience to connect the insights we’re presenting to the application to their work. This can require a significant investment of time and thought to distill the explosion of numbers we’ve worked with in the analysis down to the key findings thatIn order for our outstanding analysis and brilliant models to have an impact on our operations, we need to bring others on board. The audience for our projects can vary widely from highly analytical and technical colleagues in IT to skilled relaters and storytellers in the fundraising groups. Fundraisers themselves vary in their focus from managers who are highly strategic and take the long view, to tacticians who are focused on immediate results. In order to disseminate the results of our work, we must tell our story in a way that enables our audience to connect the insights we’re presenting to the application to their work. This can require a significant investment of time and thought to distill the explosion of numbers we’ve worked with in the analysis down to the key findings.

Body of Knowledge Data Analytics Domain

This session aligns with these Body of Knowledge Competencies within the Data Analytics Domain: Competency 6: Communication – Levels 1 and 2 | Competency 5: Visualization / Reporting Techniques and Competencies – Level 1 | Competency 9: Change Management / Strategic Thinking – Level 1

2:15pm - 3:00pm

Wrap-Up and Book Reviews
All Faculty 
Join the DABC Faculty for an open Q&A period and a recap of Boot Camp takeaways. The faculty will also be contributing industry book recommendations on topics inside and outside of fundraising to encourage your Data Analytics learning beyond the Boot Camp!