Data analytics

Case Study Vimocity

10

Employees

10

Employees

10

Employees

10

Employees

Technology used

Unify your business data with cutting-edge technology: our platform harnesses the power of advanced analytics, AI, and machine learning to seamlessly integrate and analyze your data, driving actionable insights and accelerating growth
AWS service
AWS service
Comprehensive cloud platform for secure, scalable, and cost-effective business solutions.
AWS Quicksight
AWS Quicksight
Fast, cloud-powered business intelligence service for easy data visualization and analysis.
AWS Relational Database Service (RDS)
AWS Relational Database Service (RDS)
Managed relational database service for scalable, secure, and highly available database solutions.

The
Journey

Vimocity problems was an extremely important challenge to overcome and here is why.

01

The Problem

Vimocity, a premier provider of injury prevention and workforce safety solutions, utilized Google Sheets and Metabase to power their Injury Prevention Analytics system. However, this setup necessitated about 50 minutes of data processing per customer each month, to produce reporting, impeding efficiency and decision-making capabilities.

02

The Solution

Working closely with Vimocity, we revamped their analytics dashboard by integrating AWS tools such as RDS and QuickSight. This optimized approach significantly decreased data processing time to an average of 15 minutes per customer per month, leading to a remarkable 70% enhancement in efficiency.

03

The Outcome

  1. Accelerated data processing
  2. Improved decision-making facilitated by enhanced data visualization
  3. Empowered the generation of supplementary, comprehensive metrics pinpointing outliers in preventive care

The
Results

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Vimocity Results

70% improvement in efficiency.

Data processing

Time reduction per customer per month

No Data Found

The
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