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Lewis Services Achieves 90% Efficiency Gains

With ProArch’s Dataware Data Platform

Lewis Services

About Lewis

Lewis Services is one of North America’s largest vegetation management companies. With over 4,000 staff members and 200 customers across the country, Lewis plays a critical role in the US energy infrastructure.

 

Solutions Used

 

 

Situation: Painful Invoice Processes & Time-Consuming Timesheets

Without a centralized system, Lewis’s payroll processing and customer invoicing were challenging, slow, and manual. To put it in perspective, the company processed 86,000 spreadsheets for payroll each year. This required nearly 45 full-time employees to complete, and the General Foreman had to enter the same data four times.

“The general foremen were being pulled in so many directions that it was causing inefficiencies in operations,” says Huntley Hedrick, VP of IT at Lewis.

Weekends of time-consuming work made for unhappy employees, payroll delays, slow revenue realization, and poor customer experiences.

 

Solution: Data Platform & Custom Application

Using ProArch’s Dataware Data Platform, the team integrated the HR and ERP systems into a data warehouse and then developed a custom application called “Tiempo.”

The data modeling in the background simultaneously calculates payroll and invoices based on customized rules by location, job type, pay rate, employee, and start/end time. 

 

Results: A Game-Changer All Around

  • Lewis has experienced a 90% reduction in the overall effort with a clear, streamlined process for time entry, timesheet creation, and approval.
  • Advanced reporting capabilities using data from different systems.
  • Before, Lewis experienced a high volume of invoice adjustments. Now, it is a 3% adjustment rate.
  • Customers have a better experience, and Lewis can realize revenue faster.
  • Lewis owns the tool so they can avoid future costly and complex ERP upgrades and customization.

For the general foremen, Tiempo has been transformational. Hedrick added, “What I’ve observed with the rollout of Tiempo has been greater than anything that I’ve ever seen in my career with how accepted it’s been in such a short amount of time.”

How an Energy Trading Organization Validated Microsoft Fabric for Scalable ETRM Analytics

About the Client

The client is an energy retail partner and wholesale commodity trader serving businesses in the United States. The company supplies flexible electricity solutions, provides route-to-market services for energy service companies, and trades power, gas, capacity, and renewables in wholesale markets and serves more than 2,500 customers.

Services

Challenge

An energy supply and trading organization uses an Azure Synapse and Azure Data Lake Storage (ADLS) analytics environment to support operational reporting and analytics.

While the platform is effective for current workloads, the organization wanted to expand its analytics capabilities to incorporate Energy Trading and Risk Management (ETRM) data.

With data volumes and reporting demands expected to grow, leadership needed to understand whether the current architecture could scale efficiently.

Before moving forward, the organization partnered with ProArch to evaluate Microsoft Fabric as a potential long-term analytics platform and gain clear evidence that it could support the ingestion, transformation, orchestration, and reporting requirements for adding ETRM data.

Solution

ProArch delivered a Microsoft Fabric ImpactNOW Proof of Value designed to validate Fabric against realistic energy trading analytics requirements.

Using datasets from the client’s ETRM environment, ProArch tested ingestion, transformation, orchestration, and reporting workflows inside Fabric.

The team built and demonstrated pipelines, notebooks, data models, and Power BI reporting integration while iterating with business stakeholders as reporting expectations evolved.

The engagement also surfaced key considerations around governance, architecture, data readiness, and migration planning so the client could understand not only whether Fabric worked, but what it would take to scale it responsibly.

Outcomes
  • Validated ETRM analytics feasibility: Fabric supported the ingestion, transformation, orchestration, and reporting patterns needed to bring ETRM data into the analytics environment.
  • Built confidence for scale: Leadership gained practical evidence that Fabric could support future data growth and reporting demand.
  • Improved stakeholder alignment: Iterative reporting reviews helped business and technical teams align on what worked, what needed refinement, and what scaling would require.
  • Clarified the modernization path: The PoV identified architecture, governance, and migration considerations before broader investment.
  • Created a foundation for future growth: With the PoV complete, the organization is better positioned to expand Fabric across additional datasets and analytics scenarios while moving toward a more unified, scalable platform with reduced operational complexity.

Considering Microsoft Fabric but not ready to commit?

Talk to Our Experts

ProArch’s Microsoft Fabric ImpactNOW Proof of Value validates architecture, workload fit, governance considerations, and reporting outcomes before making a larger platform investment.

Industry

  • Energy Supply, Trading, and Risk Management

Challenge

  • Could the organization expand its analytics platform to include ETRM data while preparing for future scale?

Solution

  • ProArch’s ImpactNOW tested Fabric using real ETRM data, production-style workflows, and Power BI reporting requirements.

Result

  • Validated Fabric as a practical path for adding ETRM analytics and scaling future reporting capabilities.

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