About the customer
Industry:Telecom & Utilities
The customer, a provider of comprehensive turnkey renewable energy & logistics solutions that helps customers to reduce their carbon footprint, was facing an inflexion point. The group had an expansive portfolio of wind and solar energy assets across 148+ sites. Their strong focus on growth required systems and processes that would keep pace and sustain quality and accuracy as they scaled.
The company partnered with Cloud Kinetics to modernize its data and analytics capabilities. The goal was to improve data accuracy, build operational efficiency and enable scalable, automated insights through a cloud-based unified data platform solution.
Challenge
Expansion plans call for automation and scalable solutions
While the company was committed to operational excellence and sustainability, their existing processes were heavily dependent on manual data capture and Excel-based processing and reporting, leading to significant inefficiencies.
To meet their client requirements efficiently, they needed to combine scalability with real-time insights and data accuracy.
There were multiple challenges:
- Manual data ingestion from OEM systems (Wind & Solar) increased human error and reduced productivity
- Delayed decision-making due to lack of real-time performance visibility and alerting mechanisms
- Increased operational costs, with manual effort required for monitoring and report generation
- Fragmented data landscape, with no centralized platform to unify, store and analyse data
- Inability to scale across growing customer and asset portfolios without automated systems
Solution
RPA bots and centralized unified Redshift data warehouse bring real-time visibility
To be able to expand market footprint and unlock business opportunity, they first needed certain gaps to be bridged. The leadership team recognized that this inefficiency was not just a technical gap, it was a strategic barrier to scaling the business and delivering differentiated value to their customers.
They needed a one-stop Asset Management System (AMS) platform for customers, real-time operational insights of asset performance, and had to minimize manual efforts and to ensure data accuracy and scalability.
As part of their digital transformation strategy, Cloud Kinetics designed and implemented a unified data platform (UDP) powered by AWS Cloud and modern data architecture principles. The solution was delivered in phased MVP waves, starting with MVP1, which laid the foundation for automation, scalability and advanced analytics.
The proposed solution would tackle the challenges on multiple fronts:
- Unified Data Platform on AWS: Centralized, ELT-based data lake using AWS Glue, S3, Athena, and Amazon Redshift, organized across Raw, Silver and Gold layers with medallion architecture for clean, query-ready data
- Automated Data Acquisition: Used RPA bots to retrieve data directly from Wind & Solar OEM
- Automated Alerting and Notification: Real-time alerts and notifications based on predefined thresholds or events with CloudWatch and rule-based thresholds for immediate alerting and notifications to operational teams
- Self-Service Analytics & Dashboards: Integrated Power BI with user friendly dashboards, reports & visualization to enable real-time KPI tracking, historical performance reporting and decision support
- Data Quality & Governance: Applied AWS Lake Formation and IAM role-based access controls with optional integrations for enterprise-grade governance with AWS services
- Scalable File Transfers: Enabled SFTP-based ingestion in an automated way using Amazon Transfer for secure movement of large asset data files into the platform
Success Metrics
Competitive edge from web-based AMS platform
The cloud-based, all-in-one platform and data solution helped give the customer an edge in the market:
- Created a first-of-its-kind AMS solution in the client’s industry, enabling long-term competitive advantage
- Empowered operations with real-time, data-driven insights across 148+ client sites
- Positioned the platform as a monetizable product to offer to customers and partners
After implementation, tangible benefits began to appear immediately:
30%
reduction in operational costs through automation and process optimization
100%
automation in data ingestion across 72+ wind and 76+ solar clients
70%
improvement in reporting turnaround time through ELT workflows and visual dashboards
>99%
data accuracy achieved through built-in validations and governance
High
scalability and flexibility, supporting rapid expansion and onboarding
With enhanced predictive analytics and marketplace driven monetization, the AMS platform strengthened the company’s competitive advantage and opened up new revenue opportunities for the business.
Future plans include the use of GenAI integration for automated report generation, anomaly detection and conversational data querying, commercialization of the AMS platform as a SaaS offering for renewable energy providers, and marketplace expansion to benchmark and monetize operational insights at scale. Cloud Kinetics will continue to work with the customer across stages of their digital transformation, to help deliver value, support innovation, and stay ahead in a data-driven energy ecosystem.
