So You Want Analytics (Now)?

Track: Data Analytics

Session Number: 1116
Date: Fri, Aug 10th, 2018
Time: 1:45 PM - 2:45 PM

Description:

You've heard that you need to start analytics. Your boss has been asking you when are you going to have scores or something like what other non-profits have. How can you start analytics when there's only 1 of you? During this session, we'll walk through how to define what analytics means to you, conduct an internal audit, assess the feasibility of in-house analytics, and take the necessary steps to work towards becoming an analytical team (or party of one).
Session Type: Breakout Session

Primary Competency: DA:Competency 8: Analytics and Campaign
Secondary Competency: DA:Competency 9: Change Management/Strategic Thinking
Tertiary Competency: CA:Competency 3: Goal Management
Intended Audience Level: Level I
Recommended Prerequisites: None
Learning Objective #1: - Attendees will learn how to define what analytics means for their organization.
- Attendees will learn basic data analytics terminology.
- Attendees will learn how to conduct an internal audit resources for feasibility.
- Attendees will l
Learning Objective #2: - Attendees will learn how to conduct an internal audit resources for feasibility.
- Attendees will learn how to transform from research to analysts.
Shop Size: Small, Mid-Size/Large, All Shop Sizes
Session Type: Breakout Session

Primary Competency: DA:Competency 8: Analytics and Campaign
Secondary Competency: DA:Competency 9: Change Management/Strategic Thinking
Tertiary Competency: CA:Competency 3: Goal Management
Intended Audience Level: Level I
Recommended Prerequisites: None
Learning Objective #1: - Attendees will learn how to define what analytics means for their organization.
- Attendees will learn basic data analytics terminology.
- Attendees will learn how to conduct an internal audit resources for feasibility.
- Attendees will l
Learning Objective #2: - Attendees will learn how to conduct an internal audit resources for feasibility.
- Attendees will learn how to transform from research to analysts.
Shop Size: Small, Mid-Size/Large, All Shop Sizes