Considerations for a Data-based Dashboard

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So you think you want a dashboard? Here are a few considerations before you embark on your design process on the questions you should be able to answer. From the MERL Tech "Dashboards: A Force for Good, Great, or Greater Confusion" panel.

Data & Analytics

Barbara Knittel
MERL Tech Conference
October 16, 2015
Washington, D.C.

Adashboardis ahandywayto
discernimportantinformation
quickly.
Adashboardshouldleadustoa
decision.

• Guides your visuals and the level
of detail to include
o Is this the first time they will be
seeing the information?
o Are they the data provider?
• Informs your choice in a
technology platform
o How will the user interact with
the dashboard?
o Are the users in high or low-tech
settings?
Knowing your audience is a critical first step in designing an effective dashboard.

• Helps you to decide what type of
dashboard to create
o Management
o Project/ activity tracking
o Advocacy/ needs prioritization
• Helps you focus on the indicators
and data that are necessary for
decisionmaking
Defining what sort of decisions the users will make when using the dashboard will help to
focus your scope and design
Photo credit: Amanda Makulec

• Informs the design and use of
your dashboard
o Does the data already exist?
o Is it coming from multiple
sources
o Is it qualitative data,
quantitative data, or both?
o How frequently is the data
updated?
Informed decision-making relies on good data. No matter how pretty the picture, without quality data,
your dashboard will suffer.

When these three critical
elements are not defined it
impacts:
• Workload
• Timeline
• Budget
• Design
• Final product

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Boston Institute of Analytics

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This project aims to predict whether a loan application will be approved or denied based on various factors such as applicant's income, credit score, loan amount, etc. Using a dataset containing historical loan application data, we employed machine learning algorithms to build a predictive model. The model was trained on features such as applicant's income, credit history, loan amount, loan term, and others. After training the model, we evaluated its performance using metrics like accuracy, precision, recall, and F1 score. The insights from this project can help financial institutions streamline their loan approval process and make informed decisions. Visit for more information: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/

Predicting Loan Approval: A Data Science Project

Boston Institute of Analytics

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Considerations for a Data-based Dashboard

1. Barbara Knittel MERL Tech Conference October 16, 2015 Washington, D.C.

2. Adashboardis ahandywayto discernimportantinformation quickly. Adashboardshouldleadustoa decision.

5. • Guides your visuals and the level of detail to include o Is this the first time they will be seeing the information? o Are they the data provider? • Informs your choice in a technology platform o How will the user interact with the dashboard? o Are the users in high or low-tech settings? Knowing your audience is a critical first step in designing an effective dashboard.

6. • Helps you to decide what type of dashboard to create o Management o Project/ activity tracking o Advocacy/ needs prioritization • Helps you focus on the indicators and data that are necessary for decisionmaking Defining what sort of decisions the users will make when using the dashboard will help to focus your scope and design Photo credit: Amanda Makulec

7. • Informs the design and use of your dashboard o Does the data already exist? o Is it coming from multiple sources o Is it qualitative data, quantitative data, or both? o How frequently is the data updated? Informed decision-making relies on good data. No matter how pretty the picture, without quality data, your dashboard will suffer.

8. When these three critical elements are not defined it impacts: • Workload • Timeline • Budget • Design • Final product

9. • Know what’s out there o Do a scoping exercise to determine user needs o Explore data sources in advance • Create a user profile to define audience and purpose • Be flexible/ adaptable AUDIENCE: This dashboard is intended for use by district level stakeholders in agriculture, WASH, and health (nutrition, family planning, malaria). PURPOSE: To raise awareness of the causes of anemia and related interventions, in order to identify enter points and support anemia prevention efforts at the district level. Dashboard User Profile

10.

11. Follow @jsihealth

Considerations for a Data-based Dashboard

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