Modernizing Data for a Smarter Future

Achieve Efficiency with RightAngle and Data Lake Integration

Turning Operational Data into Actionable Intelligence

As energy firms expand digital operations, the ability to harness high-volume transactional, pricing, and risk data from RightAngle becomes a strategic necessity. Legacy SQL Server environments limit visibility, scalability, and agility. By integrating RightAngle with Azure Data Lake and leveraging Value Creed’s pre-built accelerators, energy businesses can unlock real-time analytics, reduce storage costs, and future-proof decision-making.

Challenges in Data Management and Analysis

While RightAngle holds essential operational data, many organizations struggle to fully leverage it due to outdated SQL infrastructure, manual workflows, and limited analytics capabilities hindering their ability to extract real-time insights, optimize decisions, and scale with evolving business demands.

SQL Infrastructure

Optimizing storage & supporting diverse data beyond traditional SQL.

Manual Workflows

Automating workflows for faster, more efficient insights.

Real-Time Analytics

Enabling real-time analytics to improve risk management and decision making.

Advanced Modeling

Leveraging AI/ML for deeper analysis of trade and pricing data.

Strategic Accelerators for Scalable Integration

Value Creed’s integration approach simplifies RightAngle to Data Lake pipelines, enabling fast, efficient transformation of operational data into analytical assets that empower advanced insights and support data-driven energy trading decisions.

Custom Task Automation

Workflows are seamlessly initiated from within the RightAngle interface using a Custom Task. This functionality leverages a custom .cs class integrated into Task Scheduler to automatically trigger Azure Data Factory (ADF) pipelines. By eliminating manual intervention, this approach accelerates execution and reduces the risk of human error.

ADF Pipelines

Scalable and reusable ADF pipelines are deployed to extract high-value datasets from SQL Server environments. These pipelines are designed to capture critical information such as pricing snapshots, risk metrics, and accounting entries. Once extracted, the data is transferred to Azure Data Lake, enhancing performance and eliminating traditional storage limitations.

Databricks Notebooks

Raw data is transformed into structured, analytics-ready formats through powerful normalization and enrichment processes within Databricks. This enables advanced use cases such as machine learning, predictive modeling, and complex data analysis. The processed data supports real-time dashboards and enables smarter, data-driven decisions across energy trading operations.

Advantages of a Modernized Data Architecture

Operational
Agility

Automated, end-to-end pipelines reduce turnaround time from data extraction to insight delivery.

Enhanced Decision-Making

Advanced analytics capabilities enable deeper forecasting, position analysis, and real-time risk tracking.

Cost
Optimization

Data Lake storage is up to 60% more cost-effective than traditional SQL Server models.

Scalability &
Flexibility

Accelerators are reconfigurable for changing business needs, market shifts, or new regulatory reporting.

Error
Reduction

Removing manual SQL processes lowers the risk of data discrepancies and reconciliation failures.

Unlock Business Value with a Future Ready Data Strategy

In today’s competitive energy landscape, data isn’t just an asset it’s a strategic differentiator. Yet outdated architectures, fragmented workflows, and rising analytical demands often limit its true potential. Unlocking value means aligning technology, talent, and vision around a common data strategy.

Value Creed delivers more than technical integration. We bring proven accelerators, governance frameworks, and cross functional alignment to transform RightAngle data into actionable intelligence. With deep expertise and agile execution, we help clients modernize faster, operate smarter, and compete with confidence in a data-driven future.

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Achieve Efficiency with RightAngle and Data Lake Integration

Turning Operational Data into Actionable Intelligence

Challenges in Data Management and Analysis

SQL Infrastructure

Manual Workflows

Real-Time Analytics

Advanced Modeling

Strategic Accelerators for Scalable Integration

Custom Task Automation

ADF Pipelines

Databricks Notebooks

Advantages of a Modernized Data Architecture

Operational Agility

Enhanced Decision-Making

Cost Optimization

Operational
Agility

Cost
Optimization

Scalability &
Flexibility

Error
Reduction