Qlik > 实例探究 > QlikView Customer Snapshot – Bianchi - Cycleurope

QlikView Customer Snapshot – Bianchi - Cycleurope

Qlik Logo
公司规模
11-200
地区
  • Europe
国家
  • Italy
产品
  • QlikView Server
  • QlikView Publisher
技术栈
  • Data Aggregation
  • Data Analysis
实施规模
  • Departmental Deployment
影响指标
  • Cost Savings
  • Productivity Improvements
技术
  • 分析与建模 - 实时分析
适用行业
  • 消费品
适用功能
  • 采购
  • 销售与市场营销
  • 仓库和库存管理
用例
  • 库存管理
  • 供应链可见性(SCV)
服务
  • 数据科学服务
关于客户
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.
挑战
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.
解决方案
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.
运营影响
  • 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.
数量效益
  • Delivered cost to benefit ratio on the order of 1 to 10

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