Kellogg, the world's leading cereal company, relies on customer logistics data to make informed decisions and improve efficiencies around shopping experiences. To achieve this, Kellogg sought an in-memory solution to improve data latency and concurrency. The company turned to SingleStore to speed up its 24-hour ETL process, reducing latency from 24 hours to minutes. By integrating SingleStore with AWS and Tableau, Kellogg was able to run visualizations directly on top of the database, improving analytics performance by 20x. This enabled hundreds of business users to concurrently access up-to-date data, increasing the profitability of customer logistics data. With this in-memory solution, Kellogg can now provide business value on each project and meet the demands of its business users for speed and agility.