Sold by: IVCISA
A Retail Lake House on AWS integrates the best of data lakes and data warehouses, providing a unified platform for storing, processing, and analyzing structured and unstructured retail data. This solution supports diverse retail data use cases such as inventory optimization, point-of-sale (POS) analysis, and customer behavior insights. By leveraging AWS services like Amazon S3, AWS Glue, Amazon Redshift, and Amazon Athena, it offers scalability, real-time analytics, and governance to enhance operational efficiency and customer satisfaction.
Overview
A Retail Lake House on AWS provides a comprehensive framework for retail organizations to centralize, govern, and analyze large-scale data from multiple sources, such as POS systems, inventory databases, and customer platforms. Built on AWS's highly scalable and secure infrastructure, it enables advanced analytics, real-time reporting, and actionable insights to optimize retail operations, drive smarter decisions, and improve the overall customer experience.
Highlights
- Unified Data Management: Combines the scalability of data lakes with the performance of data warehouses to centralize all retail data.
- Real-Time Insights: Enables real-time analytics for POS data, inventory levels, and customer interactions.
- Advanced Analytics Capabilities: Facilitates predictive analytics and AI-driven recommendations to optimize operations and customer engagement.
Details
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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All services and products offered by IVCISA have 24x7 comprehensive support during implementation and post-implementation based on a Support service contract. Email Support: support@ivcisa.com