SAP has announced more than 30 new apps for its in-memory computing platform HANA aimed at tackling a range of industry-specific and general business challenges.
HANA, SAP's in-memory computing platform sees data and applications kept in memory and not passed back to secondary storage, such as hard discs, except for back-up.
The speed at which data can be accessed from memory and the column-store used by HANA makes it suited to carrying out queries against very large datasets and rapidly returning results. The selling point of in-memory databases like HANA is they can be set up to answer big data queries that older, hard disc-based systems could not answer in a reasonable time.
The apps, which run directly on the HANA platform, are available to new and existing SAP customers and are a mix of cloud-apps and on-premise apps. Some of the apps are available now while others are being built, it was revealed today at the SAP Sapphire Now conference in Madrid.
The apps include an SAP Liquidity Risk Management app designed to provide banks with the ability to perform real-time liquidity risk management and reporting on very large cash flows. The application aims to allow banks to apply different stress scenarios, such as adjusted run-off rates and bond haircuts, to gain a deeper understanding of how market volatility can impact liquidity positions.
Another is the SAP Accelerated Trade Promotion Planning app, which aims to allow consumer packaged goods companies to customise trade promotions. It is intended to help analyse massive volumes of promotion-related data in real time to instantly test new scenarios for individual promotions and make adjustments on the fly.
SAP POS Data Management is intended to allow retailers to screen billions of records to better predict likely stock levels by applying predictive algorithms to sales data or detect fraudulent activities at the point of sale using the SAP Loss Prevention Analytics for Retail application.
Other apps are designed for common challenges in the telecoms, high tech and manufacturing industries, while others tackle more generic business challenges like process management.