Power BI Consulting Plus 28 Years of Retail Experience
We don’t just build dashboards, we understand the complexities of stock-turn, basket affinity, and omnichannel margins because we’ve lived them for nearly three decades
Designed by Retailers for Retailers
We know that ‘Out of Stock’ isn’t just a data point—it’s a lost customer
We understand that your EPOS data is often messy and disconnected from your eCommerce platform
We know that a Store Manager doesn’t have time to dig through 10 pages of reports; they need 3 actionable KPIs on one screen
We understand seasonality and can use it to your advantage
- Size ratios can be pretty tricky too unless you know how to bend the data to your advantage
We are a Power BI Consultancy for Retail companies who want to take control of their data.
We provide the following:
End-to-end Power BI projects from start to finish
Managed service - choose the best SLA for your goals
Training and Mentoring your Retail BI and finance team
Features of Power BI that are useful for Retailers
Data connectors
Power BI can connect to hundreds of data sources, such as SQL Server, Azure, Salesforce, Google Analytics, Excel and more. This allows retailers to access and combine data from various platforms and systems, such as ERP systems or till systems and get a holistic view of their business.
Dashboards
Power BI can create stunning and interactive dashboards that display key metrics and indicators for retail performance, such as sales, revenue, gross profit margins, customer satisfaction, and market share. Retailers can customize and share their dashboards with their teams and stakeholders, and access them from any device.
Reports
Power BI can generate detailed and insightful reports that drill down into the data and reveal the underlying patterns and trends. Retailers can use reports to answer specific questions, explore scenarios, and compare outcomes. They can also apply filters, slicers, and bookmarks to their reports to focus on the relevant data.
Semantic models
Power BI can build semantic models (datasets) that define the relationships and calculations among the data elements. Semantic models enable retailers to create consistent and accurate measures and calculations across their data sources, and use them in their dashboards and reports.
Q&A
Power BI can answer natural language queries from the users, and provide visual and textual responses. Q&A allows retailers to ask questions about their data in their own words, and get instant answers without writing any code or formula
Benefits of Power BI for Retailers
Faster and better decision making
Power BI can help retailers make data-driven decisions in real time, based on the latest and most accurate information. Power BI can also provide predictive analytics and what-if scenarios, to help retailers anticipate future outcomes and plan accordingly.
Increased efficiency and profitability
Power BI can help retailers optimize their operations and resources, by identifying and eliminating bottlenecks, waste, and inefficiencies. Power BI can also help retailers increase their revenue and profit margins, by finding new opportunities, enhancing their pricing and promotion strategies, and improving their customer retention and acquisition.
Enhanced customer loyalty and satisfaction
Power BI can help retailers understand and meet their customer needs and expectations, by providing them with personalized and relevant products, services, and experiences. Power BI can also help retailers measure and improve their customer satisfaction and loyalty, by collecting and analysing customer feedback, ratings, and reviews.
Reduced costs and risks
Power bi can help retailers reduce their costs and risks, by streamlining their processes, automating their tasks, and complying with their regulations. Power bi can also help retailers mitigate and manage their risks, by detecting and preventing fraud, errors, and anomalies.
Our Retail Experience:
Simon Harrison ACMA our founder has 28 years of experience in retail
10 years at Sports Direct, starting as a finance manager. Promoted through to the senior management team as the Head of Operational Finance and Analytics. Working with board members to deliver strategic financial planning for Sales, Margins, Inventory cover. Responsible for the alignment of departmental budgets to the headline company budgets
Simon built a team of analysts, based upon a core skillset of either commercial finance or technical analytics. His role included the leadership of the team of analysts across the business, with representation within functional departments including Buying, Merchandising, E-Commerce, Marketing, and Finance. Fostering knowledge transfer and sharing of best practices.
The aim was to drive confident decision-making as widely as possible, by becoming a data-driven organisation.
Simon began his career at Wm Morrisons Supermarkets, starting as a student working part time and then pursuing a career in Finance. Simon spent 10 years in Senior Management heading up finance in a £300m food manufacturing subsidiary. With responsibilities for systems implementation of finance and ERP systems
Coming from a shop floor background Simon used his experience to enhance his effectiveness in leadership positions. Able to understand how changes to product and processes would flow through to the customer experience
Since moving into the consulting industry Simon has worked with a number of retail clients
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
Examples of Our Work
Power BI Consulting for Retail Frequently Asked Questions
How can Power BI help us with "Omnichannel" reporting?
Most retailers have data stuck in silos. We build automated data pipelines that consolidate sales from your physical stores (EPOS), eCommerce platforms (like Shopify or Magento), and even third-party marketplaces (Amazon/eBay). This gives you a single, unified view of your total "Omnichannel" performance, allowing you to track customer journeys across every touchpoint
Can Power BI track real-time stock levels and prevent stock-outs?
Yes. By connecting Power BI directly to your Inventory Management System or ERP, we create real-time visibility into stock-turn ratios and weeks-of-cover. We can set up "Alerting Dashboards" that highlight low-stock items before they sell out, ensuring you never miss a sale due to poor inventory visibility
What is "Market Basket Analysis," and can we do it in Power BI?
Market Basket Analysis identifies which products are frequently purchased together. Using DAX calculations in Power BI, we can reveal hidden patterns in your transaction data. This insight allows you to optimize your store layouts, improve website "cross-sell" recommendations, and create more effective promotional bundles
How do we measure the ROI of our marketing spend across different stores?
We integrate your marketing data (Google Ads, Meta, Email) with your actual sales data in Power BI. This allows you to track "Attribution"—seeing exactly how a digital campaign translates into in-store footfall or online conversions. By calculating your true ROAS (Return on Ad Spend) at a SKU or category level, you can allocate your budget to the products that actually drive profit
Is our retail data secure when using a cloud-based tool like Power BI?
Security is a primary concern for retailers handling sensitive customer data. Power BI utilizes Microsoft’s enterprise-grade security, including Row-Level Security (RLS). This means we can set up reports so that a Store Manager only sees data for their specific location, while the Regional Manager sees the whole territory, all within the same secure report
Other Power BI Resources
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