Data Intelligence
Turning Strategy Into Success.
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Data You Can Rely On
Clear, consistent data that fuels confident decisions.
Data Quality and Standardization
Ensuring high-quality, consistent data across systems to enable reliable analytics and smarter decisions.
Business Intelligence Reporting & Automation
Providing Lean visual reporting and automation through Power BI, Tableau, and Power Apps for faster insights.
Data Lifecycle Management & Strategy
Strategically managing data from creation to use to improve access, security, and overall usability.
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Strengthening Data Quality for Disaster Mitigation in a Leading Utility Provider
Discover how optimizing data program architecture strengthened data quality for disaster mitigation in a large utility corporation by centralizing data points with a cloud-based system through proper reporting and forecasting.
Our Work in Action
Explore a selection of our recent work, showcasing how we apply technology, data, and innovation to solve complex challenges and deliver impactful results.
Smarter Systems. Better Outcomes.
Modernizing a Leading Utility Provider's Grid Integration Platform for Scalable, Data-Driven Operations
The Challenge: Foster Data Sharing to Keep Up with Operational Demands
As utilities face increasing pressure to build more resilient systems, the complexity of untangling interdependent legacy technologies and decoupling data architecture has increased. In this case, a large utility company was struggling with a fragmented data infrastructure, outdated asset monitoring systems, and data fidelity issues, while needing to maintain ongoing operational service. These limitations interfere with the client’s ability to forecast effectively, respond quickly to disruptions, and slow down disaster recovery.
Designing the Blueprint for Change
Recognizing that this challenge was both technical and strategic, our team laid out a comprehensive redesign of the utility’s data architecture. Our goal was to build a unified, cloud-based system that could centralize data, improve reporting speed, and support smarter decision-making in high-stakes scenarios.
Although we are still in progress, several foundational improvements have already been delivered:
Data Extraction and Validation Framework:
Created a real-time pipeline to validate inputs, normalize flow, and ensure data readiness. This laid the groundwork for consistent reporting and operational visibility.
Centralized Cloud Architecture:
Migrated over 60% of legacy and siloed datasets into an interim reporting platform. This replaced scattered Excel sheets with secure, scalable infrastructure.
Interactive Reporting Prototype:
Built and deployed a prototype application using Power Apps, which now enables users to interact directly with live, validated datasets—reducing data request turnaround time from 3 days to less than 30 minutes.
Access Governance and Audit Logging:
Introduced robust audit trails and tiered access controls. This reduced data exposure risk and increased compliance readiness by an estimated 40%.
What’s Next: Moving Toward the End State
We are currently in the integration phase, aligning upstream systems, streamlining department workflows, and preparing for broader adoption across the enterprise. The foundation is being laid for a complete transition from fragmented, reactive reporting to proactive, insight-driven operations. Looking ahead, our end-state vision includes: seamless forecasting and scenario modeling, real-time coordination for disaster response, support for full grid modernization initiatives, and transparent, self-service reporting with strong data governance.
This isn’t just about new tools; it’s about enabling a cultural shift—empowering teams with clean, accessible data that drives smarter decisions. By focusing on data quality, scalability, and operational efficiency, we are building a resilient utility infrastructure ready for whatever comes next.
As utilities face increasing pressure to build more resilient systems, the complexity of untangling interdependent legacy technologies and decoupling data architecture has increased. In this case, a large utility company was struggling with a fragmented data infrastructure, outdated asset monitoring systems, and data fidelity issues, while needing to maintain ongoing operational service. These limitations interfere with the client’s ability to forecast effectively, respond quickly to disruptions, and slow down disaster recovery.
Designing the Blueprint for Change
Recognizing that this challenge was both technical and strategic, our team laid out a comprehensive redesign of the utility’s data architecture. Our goal was to build a unified, cloud-based system that could centralize data, improve reporting speed, and support smarter decision-making in high-stakes scenarios.
Although we are still in progress, several foundational improvements have already been delivered:
Data Extraction and Validation Framework:
Created a real-time pipeline to validate inputs, normalize flow, and ensure data readiness. This laid the groundwork for consistent reporting and operational visibility.
Centralized Cloud Architecture:
Migrated over 60% of legacy and siloed datasets into an interim reporting platform. This replaced scattered Excel sheets with secure, scalable infrastructure.
Interactive Reporting Prototype:
Built and deployed a prototype application using Power Apps, which now enables users to interact directly with live, validated datasets—reducing data request turnaround time from 3 days to less than 30 minutes.
Access Governance and Audit Logging:
Introduced robust audit trails and tiered access controls. This reduced data exposure risk and increased compliance readiness by an estimated 40%.
What’s Next: Moving Toward the End State
We are currently in the integration phase, aligning upstream systems, streamlining department workflows, and preparing for broader adoption across the enterprise. The foundation is being laid for a complete transition from fragmented, reactive reporting to proactive, insight-driven operations. Looking ahead, our end-state vision includes: seamless forecasting and scenario modeling, real-time coordination for disaster response, support for full grid modernization initiatives, and transparent, self-service reporting with strong data governance.
This isn’t just about new tools; it’s about enabling a cultural shift—empowering teams with clean, accessible data that drives smarter decisions. By focusing on data quality, scalability, and operational efficiency, we are building a resilient utility infrastructure ready for whatever comes next.
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