Sparkflow unified Viking Yachts’ ERP, labor, and cost data into one trusted source — cutting reporting time from weeks to minutes and giving engineering and R&D real-time visibility into every custom build.

THE CHALLENGE

Viking builds some of the most sought-after sport-fishing yachts in the world, where no two boats on the line are ever quite the same. But the data behind those builds was scattered across systems that didn’t communicate, forcing the team to reconcile the numbers by hand before they could trust them.

• Disconnected Systems: Production, labor, and cost data lived across the Syteline ERP, a third-party labor-tracking platform, and manual spreadsheets, with no single source of truth.

• Manual, Expert-Dependent Reporting: Building even a single custom report in Power BI could take weeks, with no in-house Power BI expertise to speed it up.

• Untrustworthy Numbers: Without a consistent process, figures were routinely questioned internally, and validating a report was often long and tedious

• Limited Cost Visibility: Material and labor costs for custom R&D builds were tracked manually, making it difficult to see what actually went into each model.

THE SOLUTION

Sparkflow was brought in to give Viking one centralized, flexible reporting environment built around how the business actually runs, not a generic template.

Our Sparkflow solution allowed for:

• Unified Data Foundation: Consolidates data from SyteLine, third-party labor tracking, and cost-tracking spreadsheets into a single, trusted reporting layer.

• Built for the Business: Custom formulas and logic reflect Viking’s fiscal calendar and the way teams actually analyze data.

• Drill-Down Reporting: Users start with a high-level view and drill into transaction-level detail whenever something needs a closer look.

• A True Partnership: Direct access to the Sparkflow team meant fast turnaround and reports tailored to Viking’s needs from day one.

With Sparkflow in place, Viking’s engineering and R&D teams get answers in one spot instead of piecing them together, and they trust what they see.

• Speed: Reports that once took weeks now come together in minutes to hours.

• Visibility: Real-time, drillable data replaces static spreadsheets, from high-level cost summaries down to individual transactions.

• Trust: Departments now work from the same numbers, so figures hold up under scrutiny instead of being second-guessed.

• Business Impact: Faster access to cost and production data helps the team price and plan the next build while the current one is still in production.

• Adoption: Daily use across engineering and R&D, with additional use in sales, production, purchasing, and finance.

• AI Integration: Access to "good" data that they are getting ready to use MCP and Natural Language Querying