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A Call for Transformative Solutions

Comprehensive Solutions For Data-Driven Success

From Gut Feelings to Data-Driven Success

Energy companies are inherently data-driven, with traders, risk analysts, desk analysts, and management making critical business and trading decisions based on data daily. The era of gut-feeling decisions in trading has long passed.

Unlock your Organization’s Full Potential with our Tailored Data Solutions

Data Precision

Experience unparalleled agility with swift, accurate data access that
fuels rapid
decision-making.

Risk Excellence

Enhance risk management through superior data quality and integration, ensuring robust assessments and compliance.

Risk Integration

Enhance risk management through superior data quality and integration, ensuring robust assessments and compliance.

Overcoming Data Challenges in Energy Trading

In the fast-paced realm of energy trading, data management poses significant challenges and inefficiencies that impede operational efficiency and strategic decision-making. To stay competitive, organizations must tackle these issues with transformative solutions. Below are a few challenges that can be addressed with our data services:

Challenge: Integrating data across subsidiaries and geographical locations.

Inefficiency: Fragmented data leads to inconsistencies and delays.

For example, data from subsidiaries in different countries may not be seamlessly integrated, complicating consolidated reporting and analysis. This fragmentation undermines the ability to obtain a holistic view of operations.

Challenge: Lengthy processes to onboard new data sources, such as wind parks or new settlement prices.

Inefficiency: Delays in receiving necessary data slow down operational efficiency.

For instance, onboarding a new wind park might take weeks, delaying the availability of critical operational data, such as SCADA, forecast, and meter data. This lag affects decision-making and responsiveness.

Challenge: Inconsistent quality of critical data necessary for analytics.

Inefficiency: Poor data quality undermines the reliability of analytics and decision-making.

Inaccurate data in ETRM systems, for example, can lead to flawed risk assessments and compliance issues, jeopardizing the integrity of operations and strategic planning.

Challenge: Difficulties in finding and accessing the data needed by analysts, scientists, and quants.

Inefficiency: Time-consuming processes to locate and request access to data delay analytics work.

Analysts may spend hours searching for data and navigating access permissions, delaying critical analyses and insights.

Challenge: Heavy reliance on manual data manipulation.

Inefficiency: Manual processes increase the risk of errors and data integrity issues.

For example, traders and risk managers manually inputting data into spreadsheets can introduce errors, diverting attention from strategic analysis and decision-making.

Challenge: CTRM/ETRM systems are often not fully integrated with other enterprise data platforms.

Inefficiency: Lack of integration leads to duplicated efforts and inability to leverage data for advanced analytics.

Disconnected systems require redundant data entry and reconciliation efforts, preventing comprehensive analysis and efficient operations.

Challenge: Lack of standardized data governance policies and practices.

Inefficiency: Inconsistent data quality affects the reliability of insights and compliance reporting.

Inconsistent data definitions and standards across departments can lead to conflicting reports and analyses, impeding effective governance.

Challenge: Reliance on outdated or inadequate IT infrastructure.

Inefficiency: Limits the ability to perform real-time analysis and hampers overall efficiency.

Legacy systems struggle with the volume and complexity of modern data demands, slowing down data processing and analysis.

Achieve Operational Excellence with Our Tailored Data Solutions

Learn how our services can support all your data needs to digitally transform your organization

Health Check

A comprehensive evaluation of the quality, integrity, and performance of data. Assess data accuracy, consistency, completeness, and reliability of the data.

Data Intelligence

Use of tools such as Snowflake, Dataiku, Power BI, and Microsoft Fabric to implement and govern data sets with defined roles and responsibilities.

Data Strategy Support

Alignment between strategic objectives and operational realities to leverage data for informed decision-making and sustainable growth.

Data as a Service
(DaaS)

Ongoing support to enhance your data platform with reviews, optimized practices, and governance. Includes optimizing data initiatives and archiving mature data.

Data and Analytics
Implementation

Maximize the impact of your data investments by leveraging our expertise to assist you in determining use cases to prioritize analytical efforts.

Data Management
Excellence

Improve data quality and governance for efficient operations and informed decisions, with comprehensive oversight from data ingestion to renewable energy data provisioning.

Unsure which services suit you best?

Learn how we can guide you through the DAER for data success, tailored to your maturity level. Click the button to explore our comprehensive data solutions!

Key Features

Designed to enhance accuracy, efficiency, and decision-making, our services integrate data, automate processes,
and ensure robust governance for optimal performance.

Recommended Resources

Ready to get started?

Explore our suite of solutions designed to empower your trading and risk management functions. Partner with us for a transformative CTRM experience that drives success in today’s ever-evolving markets.