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Qlik > Case Studies > QlikView Customer Snapshot – Bianchi - Cycleurope
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QlikView Customer Snapshot – Bianchi - Cycleurope

Technology Category
  • Analytics & Modeling - Real Time Analytics
Applicable Industries
  • Consumer Goods
Applicable Functions
  • Procurement
  • Sales & Marketing
  • Warehouse & Inventory Management
Use Cases
  • Inventory Management
  • Supply Chain Visibility
Services
  • Data Science Services
The Challenge
Bianchi - Cycleurope was in need of a tool that could generate reports integrating the entire group to ensure consistency in data and presentation across groups. The company wanted to provide management with a tool capable of improving the decision-making process. They were also looking to resolve criticalities in certain corporate sectors such as sales, procurement, and warehousing.
About The Customer
Bianchi - Cycleurope is a leading entity in the cycling sector for more than 120 years. Since May 1997, FIV Edoardo Bianchi has been part of Cycleurope AB, a Swedish company in the Grimaldi group. The company is headquartered in Treviglio (BG), Italy. It has achieved €40 million in revenue with 80 employees. The company operates in the Consumer Products industry.
The Solution
Bianchi - Cycleurope deployed QlikView to approximately 75 users across 3 functions in Italy. The functions include Executive Analysis, Sales Analysis, and Supply Chain Analysis. The Executive Analysis function conducts monthly monitoring of the trends in the various companies. The Sales Analysis function monitors the relationship between budget, sales, and profit margin and assesses anomalies in gifts and promotional activities impacting sales and margin. The Supply Chain Analysis function analyzes the supplier performance against budget and warehouse inventory levels and turns. The average project development time was just 1 week. The company leveraged QlikView Server and QlikView Publisher to aggregate data from multiple databases.
Operational Impact
  • Improved corporate management by obtaining greater knowledge of the criticalities thanks to effective monitoring and detailed analysis of the data.
  • Reduced the work time and enabled better data monitoring.
  • Provided the capability of intervening in criticalities and anomalies with corrective actions.
Quantitative Benefit
  • Delivered cost to benefit ratio on the order of 1 to 10

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