Data Analysts

Spend less time preparing and more time analyzing your data. Utilise the tRS tool suite to automate the production and distribution of reports allowing more time for the detailed slice & dice necessary to solve more complex analytical problems.

Ask AI - Less reporting. More insight.

Ask AI reduces repetitive reporting by answering common business questions in a consistent, reusable way. Analysts no longer need to rebuild the same views or explain the same metrics.

This frees analysts to focus on deeper investigation and higher-value work, while ensuring the rest of the organization works from trusted, aligned answers.

All Your Data In One Place

To provide a 360-degree view of the retail business data analysts need a well-structured database. Additionally, this needs to be built with a sophisticated understanding of how a retailer operates and manages their business. 

Analysts need to be able to publish insights but also drill, slice, and dice the data to get the right level of detail required. Scale, Flexibility, and Speed are critical success factors.

Perfectly Managed for Data Analysts

Purpose-built to support retail and wholesale operations, The Retail Score has an extensive library of metrics and KPI’s to measure the business, focussing on critical issues including:
Multiple Calendars including Retail Calendars with Relative Periods and the ability to look back and forward.
Demand date versus
fulfilled date
Originating Location versus Fulfilled Location
Any aggregation of Product, Locations, Customers

What Retailers Say About tRS

Know where to look to get
the greatest return on your data insights.

Our Clients

We focus on delivering a tangible return on investment be it through improved productivity, finding growth or aiding smarter decision-making. Collectively, we have over 50 years of experience in retailing, retail analytics, data management and insights.

Explore Our Latest Insights.

Stay ahead with expert perspectives, industry trends, and practical advice from Algoscale’s team. Our blogs are designed to help business leaders, data teams, and innovators turn complexity into clarity.

Spend time analyzing
— not repeating

Analysts are often responsible for answering the same questions repeatedly, rebuilding similar reports, and translating metrics for different audiences. This limits their ability to focus on deeper analysis and higher-value work.

Ask AI captures proven business questions and turns them into reusable insights that the entire organization can access. Analysts no longer need to recreate the same logic or explain the same metrics over and over.

This allows analysts to spend more time investigating new questions, validating assumptions, and improving the overall quality of insight — while ensuring the business works from consistent, trusted answers.