CASE STUDY

How a Research Institution Implemented a Public Health Dashboard

Improving Complex Cloud Analytics and Visualizations in Public Health

The Challenge: Centralizing and Automating Public Health Information 

Leadership at one of the Midwest’s most prominent private research institutions had a vision to create a central repository of public information.

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Key Factors for Effectively Uniting Data

Creating a new tool for cloud analytics and visualization management requires responses to various factors to improve efficiency. These include:
 

Organizing Data

A present need to combine more than 110 disparate sources of structured, semi-structured, and unstructured data (including geospatial).

 

Effective Systems Designs

New abilities to create insight designs that enable impactful self-discovery, promoting use by the public. 

 

Greenspace Creation

These datasets had never been viewed together before, necessitating a greenspace design to create an accurate, seamless self-service dashboard.

Unlocking Opportunities and Insights 

Technology Partners developed, published, and maintained an accessible self-service Tableau dashboard. We created and leveraged a comprehensive data fabric to automate data ingestion across a wide variety of subjects including public health, voting patterns, demographics, income, emergency responses, and historic redlining.

Data Sharing Capabilities

For the first time, institutional and public users could review and discuss the findings of culturally significant research together.

Multidimensional Perspectives

Users could view data in different formats, including as a multi-layer choropleth map, a three dimensional scatter plot, or a simple data table.

Live Tableau Dashboard

Enabling self-discovery and insights at a new scale, our dashboard is now live with up to date data.

Expedited Data Reports

Our new dashboard saves tens of thousands of labor hours. At one time, this report would have required more than 880 labor hours of manual data ingestion, modeling, and visualization.

Additional AI Insights

The flexible data fabric enables additional insights and capabilities by serving up data in manner that’s secure and manageable for AI, NLP, and large language model utilization.

“We needed a way to show our senior leadership team that marketing was producing results, and that’s hard when your metrics are scattered. This dashboard saved the day.”

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