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This top restaurant chain has always been focusing on enhancing brand image and influencing customers’ decisions. However, with the rapid business growth and recent data explosion that comes with the development of the online presence, traditional data warehouses and solutions are lacking in terms of analytics performance, scalability, concurrency, and business coverage, and cannot meet the company’s current data analytics and management needs.
a scale-out architecture improves performance up to 10x;
a seamless switch retaining the existing data warehouses and their analytics capabilities;
customizable project-, table-, row-, column-level access control for enhanced data security.
The business semantic layer enables the implementation of many-to-many models, MTD and YTD. Leveraging the pre-computing capability, the solution is fully compatible with Excel and Tableau, catering to the habits of business users;
The solution also addresses existing challenges in OLAP by providing sub-second responses in multidimensional analytics and accelerating data analytics and decision-making;
The centralized multidimensional analytics platform supports multi-user, high-concurrency aggregate queries, improving the OLAP performance in detailed query analytics and deduplication.
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