Solution

Retail

Big Data Analytics Solution for Retail

The retail industry is one of the fastest-growing industries in the past decade. It is vital for retail companies to effectively utilize big data, and achieve digitization of retailing as well as intelligent operations & management, in order to stand out in the highly competitive market. A company’s sales and market share hinge on many factors, for example, products meeting consumers’ psychological needs, appeal in appearance, placement on the shelf, price competitiveness, brand awareness, and precision of advertising.

Solution

For most traditional retail enterprises, data reports were just being presented within the departments rather than being shared across departments. The underutilization of data resulted in inefficient decision-making. Kyligence’s solution converges multi-source heterogeneous data from various sales steps into a shared data platform for comprehensive analysis, connecting the marketing data assets in products, pricing, channels, and promotion to better support decision-making in marketing. With the self-service data platform, users can get much quicker analysis results than they did in the past.

Customer Case Study

Due to the lack of a centralized data warehouse platform, a restaurant chain had problems with disorganized data processing and inconsistent specifications among various data sources. With the help of Kyligence, it quickly built a cloud-based multidimensional big data analytics platform to centrally manage scattered data and eliminate data silos. Kyligence’s high-performance, cost-effective, and scalable intelligent data warehouse solution allowed users to do self-service analytics, greatly increasing business analytics efficiency.

Kyligence’s intelligent analytics platform helped us solve problems like data silos, poor management of master data, and inconsistent KPI specifications among existing applications. The cloud-native architecture enables us to request resources on demand for effective cost control. It supports data analytics in a variety of subject areas, allowing more users to participate in data analytics for better decision-making.​

Manager of the Data Department at a Restaurant Chain

Kyligence’s intelligent analytics platform helped us solve problems like data silos, poor management of master data, and inconsistent KPI specifications between existing applications. Characterized by elastic scaling, the cloud-native architecture enables us to request resources on demand for effective cost control. It supports data analytics in a variety of subject areas, allowing more users to participate in data analytics for better decision-making.

Manager of the Data Department at a Restaurant Chain

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