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Furninova

Well informed decisions with QlikView – the key to success in the furnishing industry for Furninova

Bedrijfsprofiel

Regio: Sweden
Omzet: <$100M
Bedrijfstak: Mill Products
Functie: Finance, Operations, Sales, Service & Support

“There is no doubt that QlikView makes our company more successful and proactive. Prior to implementing QlikView, I was the primary gatekeeper of certain information. Now anyone can access and compare critical data.” Magnus Ranebo, Chief Financial Officer, Furninova AB

Background

  • Leading European manufacturer of household indoor furniture including couches, sofas and armchairs
  • Headquartered in Bjarnum, Sweden
  • Achieved ~$90 million in revenue with 675 employees

Challenges

  • Reduce time required to run reports across multiple functional areas of the business
  • Improve accuracy and timeliness of analysis to enable better business decisions
  • Effectively analyze information from the new manufacturing planning system recently deployed in multiple countries

Solution

  • Deployed QlikView to 25 users across 4 functions in Poland and Sweden:
  • Sales Analysis: Monitor sales performance against key metrics of turnover, products, customers as well as commissions
  • Service & Support Analysis: Manage customer service operations against service KPIs via detailed reports
  • Operational Analysis: Assess and adjust product lines and production schedules to meet the evolving customer and market trends
  • Financial Analysis: Analyze turnover rates and profitability analysis for various markets, customers, and product lines
  • Leveraged QlikView Server to aggregate data from manufacturing planning systems (MPS), Interbase and Excel

Benefits

  • Reduced time to generate reports by 90% from weeks to hours
  • Managed against KPI‘s providing visibility into most profitable products and production decision making
  • Decreased manufacturing and production costs
  • Eliminated analysis bottleneck by empowering everyone with easy-to-use solution
  • “Early Warning System“ for detecting potential problem areas

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