Tableau Case Studies Faster, Easier, and Friendlier Analysis of Virus Research and Treatment

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	Faster, Easier, and Friendlier Analysis of Virus Research and Treatment Tableau

Faster, Easier, and Friendlier Analysis of Virus Research and Treatment

Tableau

Technology Category	Analytics & Modeling - Big Data Analytics Application Infrastructure & Middleware - Data Visualization
Applicable Industries	Healthcare & Hospitals Life Sciences
Applicable Functions	Product Research & Development
Use Cases	Predictive Maintenance
Services	Data Science Services
Challenge	The immunovirology division of the CEA in Fontenayaux-Roses was facing a challenge in gaining a rapid visual understanding of its investigations. The organization’s mission is to explore and develop vaccine treatment strategies for chronic and emerging viral infections. However, the research groups relied on different and fragmented silos of research data. This led to the team devoting unnecessary time to compiling the data reporting—as opposed to actually analysing the data and experimenting with models to combat viruses. Antonio Cosma, a research scientist responsible of the FlowCyTech core of the CEA’s division of immuno-virology explains, “Our research was held up in the slow lane because we had to collect the data, and then prepare and adapt the spread sheets. After that, we then devoted hours to creating visually appealing graphs and bar charts to show the results.” Read More
About Customer	The Commissariat à l’Energie Atomique (CEA, the French Alternative Energies and Atomic Energy Commission) is a French government-funded technology research organization and a prominent player in the European research arena. CEA, working with its partner Mydral, has standardized on Tableau in its Life Sciences division to accelerate and streamline the reporting and analysis of viral infections such as AIDS, and emerging diseases like influenza, dengue and Chikungunya. The organization’s mission is to explore and develop vaccine treatment strategies for chronic and emerging viral infections. Read More
Solution	CEA, with its partner Mydral, standardized on Tableau in its Life Sciences division to accelerate and streamline the reporting and analysis of viral infections. Tableau was installed as a trial by Antonio Cosma, a research scientist responsible for the FlowCyTech core of the CEA’s division of immuno-virology. Within minutes he was supporting his flow cytometry analysis and cell sorting with visual reporting. The cytometry platform examines, counts, and sorts up to 50,000 fluorescence-tagged cells per second, and is used to separate cells of interest to the CEA research team. Using Tableau, the CEA team integrates the vast amount of research data collected by the flow cytometry into a single visual analysis process. This allows Antonio Cosma and his team to quickly see patterns in their data and shift views instantly to follow their line of research. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Application Infrastructure & Middleware - Data Visualization

Applicable Industries

Healthcare & Hospitals

Life Sciences

Applicable Functions

Product Research & Development

Use Cases

Predictive Maintenance

Services

Data Science Services

Challenge

The immunovirology division of the CEA in Fontenayaux-Roses was facing a challenge in gaining a rapid visual understanding of its investigations. The organization’s mission is to explore and develop vaccine treatment strategies for chronic and emerging viral infections. However, the research groups relied on different and fragmented silos of research data. This led to the team devoting unnecessary time to compiling the data reporting—as opposed to actually analysing the data and experimenting with models to combat viruses. Antonio Cosma, a research scientist responsible of the FlowCyTech core of the CEA’s division of immuno-virology explains, “Our research was held up in the slow lane because we had to collect the data, and then prepare and adapt the spread sheets. After that, we then devoted hours to creating visually appealing graphs and bar charts to show the results.”

About Customer

The Commissariat à l’Energie Atomique (CEA, the French Alternative Energies and Atomic Energy Commission) is a French government-funded technology research organization and a prominent player in the European research arena. CEA, working with its partner Mydral, has standardized on Tableau in its Life Sciences division to accelerate and streamline the reporting and analysis of viral infections such as AIDS, and emerging diseases like influenza, dengue and Chikungunya. The organization’s mission is to explore and develop vaccine treatment strategies for chronic and emerging viral infections.

Solution

CEA, with its partner Mydral, standardized on Tableau in its Life Sciences division to accelerate and streamline the reporting and analysis of viral infections. Tableau was installed as a trial by Antonio Cosma, a research scientist responsible for the FlowCyTech core of the CEA’s division of immuno-virology. Within minutes he was supporting his flow cytometry analysis and cell sorting with visual reporting. The cytometry platform examines, counts, and sorts up to 50,000 fluorescence-tagged cells per second, and is used to separate cells of interest to the CEA research team. Using Tableau, the CEA team integrates the vast amount of research data collected by the flow cytometry into a single visual analysis process. This allows Antonio Cosma and his team to quickly see patterns in their data and shift views instantly to follow their line of research.

Impact #1	Tableau is transforming the way CEA looks at and analyzes research data.
Impact #2	CEA team can instantly visualize the information in a multitude of different ways.
Impact #3	Tableau points CEA immediately to which antibody is the most appropriate for the test, its reference, and its history.

Impact #1

Tableau is transforming the way CEA looks at and analyzes research data.

Impact #2

CEA team can instantly visualize the information in a multitude of different ways.

Impact #3

Tableau points CEA immediately to which antibody is the most appropriate for the test, its reference, and its history.

Benefit #1	Big data analysis is now quick and commonplace, with compelling visual reports available anywhere in the research organization within minutes, compared with days or even weeks previously.
Benefit #2	The cytometry platform examines, counts, and sorts up to 50,000 fluorescence-tagged cells per second.

Benefit #1

Big data analysis is now quick and commonplace, with compelling visual reports available anywhere in the research organization within minutes, compared with days or even weeks previously.

Benefit #2

The cytometry platform examines, counts, and sorts up to 50,000 fluorescence-tagged cells per second.

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Overview

Faster, Easier, and Friendlier Analysis of Virus Research and Treatment

Operational Impact

Quantitative Benefit