Case Studies Startup unifies lab management to pave the way for Big Data analytics

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	Startup unifies lab management to pave the way for Big Data analytics

Startup unifies lab management to pave the way for Big Data analytics

Technology Category	Analytics & Modeling - Big Data Analytics Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries	Healthcare & Hospitals Life Sciences
Applicable Functions	Product Research & Development Quality Assurance
Use Cases	Inventory Management Predictive Maintenance
Services	Data Science Services System Integration
Challenge	Spotlight Therapeutics faced several challenges in their lab management. Their inventory management system was prone to human error and created bottlenecks as it was managed by a single person using spreadsheets. This was inefficient and led to errors. Additionally, they lacked a data infrastructure that would allow them to run big data analysis, which was crucial for their discovery platform. Their data lacked the structure and standardization necessary for big data analytics. Furthermore, their unconnected note-taking, lab management, and data interpretation systems encouraged siloed work rather than collaborative work. Read More
About Customer	Spotlight Therapeutics is a pioneering company in the field of cell-targeted in vivo CRISPR gene editing. They are creating a new class of programmable ribonucleoproteins called Targeted Active Gene Editors (TAGE). These modular biologic constructs are engineered to overcome the current limitations of viral and nanoparticle delivery. The company is an early adopter of Benchling, initially using just Benchling Notebook to record experiments. As they’ve grown and matured their technology, they’ve expanded their Benchling usage to eliminate manual inventory management, enable big data queries, and increase the speed of collaboration. The company is based in Hayward, CA and has between 11 to 50 employees. Read More
Solution	Spotlight Therapeutics implemented Benchling Registry and Inventory to automate their manual inventory management process. This empowered the team to track usage and availability of common reagents, reducing administrative time and freeing up time for scientific progress. They also unified naming conventions and established standard fields for data capture. With uniform data fields, the team could quickly query across all affinity experiments to find patterns and trends. This set up a clear structure for their data, opening up a world of interesting questions that Spotlight could now explore. The standardized data also had benefits beyond data analysis. It provided a reliable framework to store and share data, which was key to tracking continuous scientific progress, crucial for attracting future investors. Standardized data capture, coupled with custom tools built on Benchling’s APIs, also saved scientists time both for uploading new data and gathering insights. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Application Infrastructure & Middleware - Data Exchange & Integration

Applicable Industries

Healthcare & Hospitals

Life Sciences

Applicable Functions

Product Research & Development

Quality Assurance

Use Cases

Inventory Management

Predictive Maintenance

Services

Data Science Services

System Integration

Challenge

Spotlight Therapeutics faced several challenges in their lab management. Their inventory management system was prone to human error and created bottlenecks as it was managed by a single person using spreadsheets. This was inefficient and led to errors. Additionally, they lacked a data infrastructure that would allow them to run big data analysis, which was crucial for their discovery platform. Their data lacked the structure and standardization necessary for big data analytics. Furthermore, their unconnected note-taking, lab management, and data interpretation systems encouraged siloed work rather than collaborative work.

About Customer

Spotlight Therapeutics is a pioneering company in the field of cell-targeted in vivo CRISPR gene editing. They are creating a new class of programmable ribonucleoproteins called Targeted Active Gene Editors (TAGE). These modular biologic constructs are engineered to overcome the current limitations of viral and nanoparticle delivery. The company is an early adopter of Benchling, initially using just Benchling Notebook to record experiments. As they’ve grown and matured their technology, they’ve expanded their Benchling usage to eliminate manual inventory management, enable big data queries, and increase the speed of collaboration. The company is based in Hayward, CA and has between 11 to 50 employees.

Solution

Spotlight Therapeutics implemented Benchling Registry and Inventory to automate their manual inventory management process. This empowered the team to track usage and availability of common reagents, reducing administrative time and freeing up time for scientific progress. They also unified naming conventions and established standard fields for data capture. With uniform data fields, the team could quickly query across all affinity experiments to find patterns and trends. This set up a clear structure for their data, opening up a world of interesting questions that Spotlight could now explore. The standardized data also had benefits beyond data analysis. It provided a reliable framework to store and share data, which was key to tracking continuous scientific progress, crucial for attracting future investors. Standardized data capture, coupled with custom tools built on Benchling’s APIs, also saved scientists time both for uploading new data and gathering insights.

Impact #1	Scientists estimate experiments progress 25% faster
Impact #2	Saved 2 hours per week per scientist on data cleaning
Impact #3	61% Increase in ease of collaboration

Impact #1

Scientists estimate experiments progress 25% faster

Impact #2

Saved 2 hours per week per scientist on data cleaning

Impact #3

61% Increase in ease of collaboration

Benefit #1	Experiments progress 25% faster
Benefit #2	Saved 2 hours per week per scientist on data cleaning
Benefit #3	61% Increase in ease of collaboration

Benefit #1

Experiments progress 25% faster

Benefit #2

Saved 2 hours per week per scientist on data cleaning

Benefit #3

61% Increase in ease of collaboration

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Overview

Startup unifies lab management to pave the way for Big Data analytics

Operational Impact

Quantitative Benefit