Retail BI Solution: Core Functionality

Automated retail data ingestion (product data, customer data, transactional data, etc.) from disparate internal and external data source systems (CRM, ERP, POS systems, supply chain management systems, customer data platform, social media, etc.).
Automated retail data cleansing and transformation capabilities (data reduplication, standardization, conversion, etc.).
Storing structured, semi-structured, unstructured retail data of any size in the data lake for achieving and further processing.
Consolidation of transactional and sensor data in the operational data store for operational reporting.

Automated discovery and labeling of sensitive retail data.
Securing sensitive retail data with data encryption at rest and in transit and dynamic data masking.
Role-based and attribute-based access control.
Configurable retail data security levels (row, column, table, workspace, report, etc.).

A perceived value analysis is used to determine the price that customers are willing to pay for a product.
Price elasticity analysis is used to define and adjust prices for different customer segments, markets, and so on.
Monitoring and analyzing market price benchmarks as well as competitor pricing strategies.
Modeling dynamic price optimization to tailor initial pricing, promotional pricing, and markdown pricing strategies for products and product categories across customer segments.

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