Case Study

Building Robust Performance Dashboards

A leading US robotics company optimizes its operations through real-time data-driven dashboards.

A leading robotics company in the US achieves greater visibility into its robot performance through robust dashboards, driving efficiency in monitoring and tracking KPIs and SLAs.

Industry & Region: Robotics, USA

Technology Stack:
Data Visualization: Tableau, Programming Language: Python, Serverless Analytics Service: Athena, DBMS SQL
Client Overview
Our client is a leading robotics and technology organization based in the US. They specialize in developing advanced robotic systems for their customers. They are committed to creating an intelligent industrial workforce that drives transformational efficiency.
Business Challenge
With a wide range of robots deployed across different locations, the client needed a comprehensive solution to monitor and analyze the performance of their robots based on Key Performance Indicators (KPIs) and Service Level Agreements (SLAs). The client lacked a centralized system to monitor and analyze the activities of robots. They needed a solution that would allow them to track metrics like performance, availability, quality, and overall equipment effectiveness (OEE) of their robots in real-time. The current visualization methods had room for improvement to meet evolving needs and generate necessary insights and actionable information.
Solution Offered
Our experts assessed the scenario and recommended a robust dashboarding system to the client that would enable them to make data-driven decisions and improve their operational efficiency. Building the dashboard involved the following phases:
1. Discovery
In the initial phase, we closely worked with the client to understand their existing data schema, visualization methods, KPIs, and SLAs they wanted to track. We analyzed their business processes and identified key areas where data-driven insights would be most valuable to them. This phase allowed us to gain a deep understanding of the client’s needs and tailor the solution accordingly.
2. Dashboard Design
Based on the insights gained from the discovery phase, we proceeded to design the dashboard architecture. We architected the dashboard using Tableau considering different types of charts and visualizations that were needed to effectively monitor the robot performance metrics.
3. Development
Once the dashboard design was finalized, we initiated the development phase. Our team of experienced developers implemented the dashboards. We integrated the client’s existing data sources and created a data modelling strategy to structure and organize the data for optimal visualization. Throughout this phase, we conducted rigorous unit testing to ensure the accuracy and reliability of dashboards.
4. Integration testing
After finishing the development and unit testing, we conducted comprehensive integration testing to validate the functionality and performance of the dashboards. We verified the data integration, chart accuracy, and responsiveness of dashboards across different devices.
5. Deployment
We obtained the client’s approval for the final dashboards after working with them to make a few changes to the dashboards after the testing phase. The approved dashboards were deployed to the client’s work environment, ensuring seamless integration with their existing infrastructure.
Value Delivered
  • Provided better insight into robotic processes and operations.
  • Facilitated real-time tracking of robot performance metrics.
  • Enabled data-driven decision-making through robust dashboards.
  • Facilitated near real-time data refresh and tracking of robots through data engineering.
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Building Robust Performance Dashboards