Power BI & Data Analytics Solution for a $500M UK Manufacturer

Power BI & Data Analytics Solution for a $500M UK Manufacturer
Historical Data Analysed

2years

Historical Data Analysed

Custom Reports Delivered

5+

Custom Reports Delivered

Automated Data Processing

4

Automated Data Processing

Weeks Delivery Timeline

4

Weeks Delivery Timeline

Background The Client Challenge

Our client supplies precision-engineered components to the automotive, aerospace, and heavy machinery sectors across Europe and North America, generating around $500 million in annual revenue from its UK manufacturing base.

With demand swinging more than usual and pressure mounting to sharpen its product mix, the company needed a clear read on where its revenue was actually coming from. The problem was that nobody had that view, because the underlying data wasn't in any shape to provide one:

  • Two years' worth of sales and production records sat scattered across Excel workbooks and flat files, with nothing tying them together
  • There was no way to tell which product lines were actually driving revenue versus which were quietly dragging on performance
  • Customer revenue mixed together repeat, contracted business with one-off, opportunistic sales, so nobody could tell which kind of customer the company should be chasing
  • Production volume data existed but wasn't structured well enough to spot trends or support forecasting
  • Without a reliable analytics base, leadership had no confident way to decide which product categories deserved more investment and which didn't

The company partnered with Versich bringing 10+ years of expertise in data analytics and Power BI services to consolidate all historical sales and production data and deliver a clean, interactive analytics solution enabling confident strategic decision-making.

Our Solution

Data Consolidation & Preparation

Data Consolidation & Preparation

  • Pulled together every Excel and flat file covering two years of sales and production records into one structured dataset
  • Cleaned up inconsistencies along the way mismatched product codes, inconsistent customer labels, varying date formats so everything could be compared on the same basis
  • Built a single pivot table model bringing revenue, product line, customer type, and production volume together in one place
  • Checked the consolidated dataset for completeness before any analysis began

Data Analysis

Data Analysis

  • Worked through two years of unified data to surface revenue trends, product line performance, and customer behavior
  • Broke revenue down by product line to flag which categories were pulling ahead and which were falling behind, informing where to focus investment
  • Compared revenue from repeat, contracted customers against one-off purchasers to clarify where retention and new-business effort would pay off
  • Tracked monthly production volumes against revenue to surface where output and demand were or weren't moving together

Power BI Reporting & Dashboards

Power BI Reporting & Dashboards

  • Delivered 5+ Power BI reports covering total revenue, revenue by product line, revenue by customer type, and monthly production volume
  • Built full drill-down into every report, so leadership can move from a top-line number down to a specific product line or customer segment
  • Added period-over-period trend views so it's immediately clear which categories are growing, holding steady, or slipping
  • Published everything through Power BI Desktop and the Power BI service, so leadership can check current numbers from any device without going through IT
  • Kept the toolset deliberately small Excel, Power Pivot, and Power BI so the client's own team can maintain it without specialist support

Business Impact

Revenue, by category, finally clear

Revenue, by category, finally clear

Leadership now has one consolidated view of how every product line is performing, supporting real decisions on where to invest, hold, or pull back.

Customer mix, understood

Customer mix, understood

Comparing repeat versus one-off customer revenue gives sales and strategy teams a concrete basis for retention and acquisition planning

Production and demand, side by side

Production and demand, side by side

Monthly output is now visible right next to revenue trends, helping operations align production planning with what's actually selling.

Four weeks, not months

Four weeks, not months

The whole project from scattered spreadsheets to live Power BI dashboards was delivered in 4 weeks, using a toolset simple enough for the client to run on their own afterward.

REVIEWS

What Clients Say About Us

5.0
Full starFull starFull starFull starFull star

We hired Versich to rebuild our analytics stack after an internal project stalled. They came in, assessed the situation quickly, and delivered production-ready Power BI dashboards within weeks. Their DAX knowledge and data modelling skills are exceptional.

Marcus Webb

CTO
5.0
Full starFull starFull starFull starFull star

Versich understood our finance workflows from day one. They built dashboards that connected directly to our ERP and gave our leadership team real-time visibility into cash flow, margins, and budget vs actuals. The quality of the work and the speed of delivery were both outstanding

Priya Nair

Finance Director
5.0
Full starFull starFull starFull starFull star

Before Versich, our reporting was scattered across spreadsheets with no single source of truth. They built us a Power BI environment that connects our warehouse, finance, and sales data in one place. Our operations team now makes decisions in hours instead of days

Daniel Okonkwo

Head of Operations