Ingest
Initially, data is loaded into Azure in its native format, and is stored accordingly. Receiving and managing disparate data sources can be daunting Prepare
Before analysis begins, the data must be prepared. This shaping of data is important to ensure quality of predictive models Store
Storing data before processing requires consideration Analyze
For problems like reducing cost of inventory, retailors can use analysis performed by a Machine Learning process Action
Data in retail moves constantly, and systems that handle it must do so in a timely manner. For example Conclusion
Data management in retail is complex. But it offers the valuable ability to deliver relevance and an improved customer experience Components
1. Azure Database Migration Service
2 Contributors
This article is maintained by Microsoft. It was originally written by the following contributors Next steps
To continue to understand more of Azure capabilities related to implementing a data management pipeline ×Data warehousing is used by retail chains for
business intelligence and forecasting purposes, as well as distribution, marketing, examining pricing policies, keeping track of promotional deals, and analyzing customer buying trends.
The retail data warehouse is the largest and most important database for a retailer. It contains all the data about the retailer’s customers, products, and sales. The retail data warehouse is used to support the retailer’s decision-making process and to provide information to the retailer’s employees.
Data warehousing in the retailing industry is used in three primary analyses:
- Promotions
- Vendors
- Consumers
Recently, retailers have begun to be concerned with macro-market and micro-market analysis to achieve better, more refined customer service. This is one of the primary reasons for adopting and implementing data warehousing.
