Our Data Analytics Consulting Services for Utilities
We provide a service-led data analytics consulting solution for utility companies who want to take control of their data.
This results in:
Improved business performance and understanding
Confident decision-making from reliable data
Turning your company’s data into insights and actions
Data Analytics for the Utility industry
- To make informed decisions from field operations
- To forecast and keep track of trends
- To improve customer delivery and operational efficiency
Benefits of Data Analytics for the Utility Industry
Operational Efficiency
Data analytics allows utility companies to optimize their operations by identifying inefficiencies, streamlining processes, and allocating resources more effectively. This can lead to cost savings and improved overall performance.
Predictive Maintenance
By analysing data from sensors and monitoring equipment, utility companies can predict when equipment is likely to fail and proactively schedule maintenance. This helps prevent costly downtime and extends the lifespan of critical assets.
Demand Forecasting
Data analytics enables utility companies to forecast future energy demand more accurately. This information can be used to optimize energy generation and distribution, ensuring that supply meets demand and minimizing the risk of shortages or overages.
Energy Conservation
By analysing consumption patterns and identifying energy-saving opportunities, utility companies can develop targeted conservation programs and incentivize customers to reduce their energy usage. This supports sustainability goals and reduces overall energy costs.
Customer Engagement
Data analytics enables utility companies to better understand their customers’ preferences and behavior. This allows them to personalize services, provide targeted recommendations, and improve customer satisfaction and retention.
Our experience in the Utility and Energy Industry
David Laws has supported clients in the Energy Industry
David studied Engineering, Science and Technology at Loughborough University and then continued to study and gain vocational consultancy experience at the University of Cambridge on the Advanced Course of Design Manufacture and Management. David’s early career was mainly in Leadership roles in FMCG manufacturing company’s. These roles focussed on days and shift management and engineering teams in the production of food, drink and pharmaceuticals.
During this time David was involved in numerous projects. David used his technical and project management skills to drive process improvements in large organisations including Boots, Kerry Foods and Catalent. These projects included day to day implementation of continuous improvements methodology’s, as well as major engineering capital projects, labour saving and quality improvements. These roles involved responsibility for the short term and long term targets and strategy, as well as managing the day to day operational and engineering teams. This involved planning and scheduling of maintenance, capital and improvement activities.
During this time David was involved in numerous projects. David used his technical and project management skills to drive process improvements in large organisations including Boots, Britvic and Catalent. These projects included day to day implementation of continuous improvements methodology’s, as well as major engineering capital projects.
David transitioned into data analysis and MI reporting roles. His initial role was supporting 3M with their Excel point of sale (POS) reporting. This role saw him learn and develop ETL and database software skills as well as present data in Excel 2013 (the prequel to Power BI).
David then moved to contract roles which saw him develop reporting in a cross section of industries, including Energy, FinTech and specialist mortgage. This included working at the central reporting team within Eon, primarily working on optimising their reporting capabilities. David also worked within the data team at Robin Hood Energy optimising the data warehouse and working on reports for internal and external stakeholders.
David build on his skills ands moved into data engineering roles. These has seen him worked ingesting, integrating and migrating data for several organisations. This has seen him gain knowledge of the data architecture to supplement his reporting skills.
Since moving to Select Distinct in 2022 David has worked with a number of clients across a range of industries. This has included projects with a vast selection of different industries.
We work closely with your team to make sure it all goes smoothly
We take a deep dive in your reporting set up
We provide full strategy and training
Service led business
Mapped out five-step process
Frequently Asked Questions
How can data analytics help us meet regulatory compliance?
We help utility providers automate the collection and reporting of key metrics like energy emissions, reliability, and consumption patterns. By replacing manual reporting with accurate, real-time dashboards, you can ensure transparency with stakeholders and maintain effortless compliance with regulatory mandates.
Can you integrate data from our field operations and sensors?
Yes. Modern utility management relies on data from sensors and monitoring equipment. We specialise in Data Engineering to ingest and integrate this IoT data into your central reporting systems. This allows you to move from reactive fixes to Predictive Maintenance, identifying potential equipment failures before they cause costly downtime.
Will this help us with demand forecasting and energy conservation?
Absolutely. By analysing historical consumption patterns and demographic data, we build models that forecast future demand more accurately. This enables you to optimize energy distribution and develop targeted conservation programs that incentivize customers to reduce usage during peak times.
Do we need to invest in an expensive new data platform?
No. Following our "Software Second" philosophy, we first look to see if your goals can be achieved using the tools you already own, such as Microsoft Power BI, SQL Server, or Excel. We focus on building a robust data architecture rather than pushing specific software licenses.
How do you handle the handover to our internal teams?
Education is a core part of our 5-Step Journey. We work closely with your internal BI, Finance, or Operations teams throughout the project to share our expertise. Upon completion, we provide a "Plain-English Handover" with full documentation, ensuring your team has the skills to manage and evolve the solution themselves.