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Sisense > 实例探究 > Using Big Data Analytics to Produce Value in the Retail Industry
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Using Big Data Analytics to Produce Value in the Retail Industry

技术
  • 分析与建模 - 大数据分析
  • 分析与建模 - 预测分析
  • 应用基础设施与中间件 - 数据可视化
适用行业
  • 建筑与基础设施
  • 零售
适用功能
  • 商业运营
  • 销售与市场营销
服务
  • 数据科学服务
  • 系统集成
挑战
EREA’s clients, primarily in the retail sector, were overwhelmed by the large amounts of data generated in their ERP systems. These datasets often contained billions of rows, making it difficult to analyze and derive actionable insights. The time and resources required to process this data were substantial, and clients were struggling to make sense of it all. EREA needed a powerful BI tool that could handle massive volumes of disparate data and scale across the entire Latin American region. They also required a solution that could be easily customized by non-technical consultants to meet specific client requirements.
关于客户
EREA is a management consulting firm operating across Latin America, specializing in designing and implementing transformation strategies. They focus on identifying and accelerating growth opportunities in various areas, including sales, supplier negotiations, store operations, and category management. The firm works with many $100m+ companies, helping them manage and make sense of their massive amounts of data. EREA has a team of over 40 consultants and data analysts who leverage their expertise to enhance clients' sustainable growth through strategic consulting projects. The firm aims to maximize reach and effectiveness using data and technology.
解决方案
EREA chose Sisense as their BI tool due to its ability to handle complex data sets, rich embedded analytics, and seamless integration with R. Sisense's flexibility allowed EREA to incorporate their IP and combine external data sources like weather and macroeconomic data. The tool's beautiful UI and responsiveness, along with excellent support from Sisense, made it the ideal choice. EREA integrated R analytics with Sisense to create dashboards that show clients' potential savings and 'what if' scenarios. These dashboards help clients identify areas where money is being misallocated and pinpoint what is positively impacting profitability. The solution enabled EREA to handle data more efficiently, reducing report development time and allowing them to manage data for dozens of clients simultaneously.
运营影响
  • Report development time dropped by 10x, saving thousands of hours every quarter.
  • Correlations in data that were not apparent before are now being identified, saving money for clients.
  • EREA went from handling data for 5 large clients to managing data for dozens of clients simultaneously.
数量效益
  • Data discovery process reduced from three months to three weeks on average.
  • Company growth increased from 30% a year to 100% growth within a few months.

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