Our client, a global leader in the construction equipment sector, embarked on an ambitious project with NeenOpal to revolutionize its data management and analytics capabilities. This strategic partnership aimed to harness the vast volumes of IoT-generated data from their vehicles to empower decision-making processes, enhance operational efficiencies, and set new benchmarks in the heavy machinery industry. Through the integration of Amazon QuickSight and advanced data engineering solutions, NeenOpal delivered a transformative business intelligence platform that redefined our client's approach to data-driven insights.
Our client faced significant challenges in managing the disparate data collected from its extensive range of IoT-enabled machinery. The key issues included:
The sheer volume of data generated by 7000+ machines every minute was unstructured in existing systems, leading to no utilization for business insights.
The absence of systems for analyzing data in real-time meant that key performance metrics could not be tracked or monitored. This lack of visibility into operations resulted in delays and inefficiencies, as decision-makers were unable to access the timely insights needed to respond effectively to changing conditions.
Various types of machines used different systems for data logging & sending, resulting in inconsistent storage and hindering reporting efforts.
To address these challenges, NeenOpal devised a holistic strategy that transformed our client's data architecture and visualization capabilities:
Data Pipelines were established post Amazon RDS (which was a mere data lake, with everything stored as a log), ensuring high availability, security & utmost quality of data. AWS Glue was implemented to manage efficient ETL processes, providing a seamless flow of data into Snowflake for further analysis.
NeenOpal developed sophisticated data pipelines that automated the cleaning, transfer and transformation of data, reducing manual intervention and potential errors. Various pivoted & unpivoted mapping files were collated together to extract the appropriate KPI/measures from an unstructured log of sensor readings. Various machines sent the same sensor’s readings in different fields, which were mapped according to business requirements for ease of data readiness.
Customized Amazon QuickSight dashboards were created to serve different operational needs. These dashboards provided dynamic, easy-to-comprehend visualizations that allowed for immediate insight into operational metrics like Engine RPM, Load Ratio, Vehicle Speed, Location, etc.
A thoughtfully designed color palette, aligned with the brand theme, was used to effectively distinguish data types, while carefully selected typography enhanced readability and user engagement.
The dashboards featured dynamic filters, sliders, and real-time data refresh options, empowering users to explore and customize data for quick and meaningful insights.
Amazon QuickSight's RLS feature ensured controlled data access based on user roles. This allowed only authorized users, such as dealers or regional managers, to view relevant data, strengthening data governance and security.
Key performance indicators (KPIs) like machine utilization, connectivity, and health status were derived through calculated fields within QuickSight, offering actionable insights for data-driven decision-making.
Interactive on-screen controls, including filters and drill-down features, provided users with the ability to customize views and analyze data at various levels of detail. This enhanced engagement and facilitated in-depth analysis of machine performance and dealer activities.
NeenOpal delivers full BI solutions with certified AWS and Tableau expertise, offering scalable, cost-effective, and secure analytics. Our custom solutions boost data access, cut costs, and enable data-driven decisions through advanced visualizations. With a focus on security and impactful insights, we give clients a competitive edge in analytics.
This project not only streamlined our client's data analytical processes but also established new industry standards for integrating IoT data with cloud-based BI tools. Our client's proactive approach, facilitated by NeenOpal's expertise, has positioned it as a thought leader in the utilization of advanced analytics in the heavy machinery industry.
Written by:
Project Delivery Lead
BI Developer