Consumer Products (CP) companies want to get at big, big data. They need large amounts of data delivered at high speed with real-time information, insights, and visualization. Operational and historical reporting are not enough to keep up with today’s business demands. Instead, advanced analytical reporting, simulations and scenarios are required for rapid decision making. Consumer Products decision makers have dreamed of a day when they could generate Profit & Loss statements by brand and by region or customer profitability in real-time. With in-memory computing and massive parallel processing (MPP), that day is here. Equipped with a strategic vision and a tactical implementation roadmap, IT teams can lead their companies to realize the game changing benefits of SAP HANA.
SAP HANA, It’s a BIG Deal for IT
One of the most time consuming tasks in an operational Business Warehouse (BW) or Decision Support System (DSS) is the nightly data load. IT works overnight shifts to monitor updates, and that, at best, provides internal customers a few hours for decision making, depending on the run time and time zone of the source system.
SAP HANA makes data available as soon as the transaction is completed in the SAP system. With in-memory computing, data updates happen in RAM and the action (write/delete) is simplified, reducing the 2-way round trip to the disc. Data in main memory (RAM) can be accessed significantly faster than from the disk. Also, MPP uses multiple processors or separate computers to perform computations in parallel.
As a result, critical reports that used to take several hundred seconds to run or that did not run at all can now return in as little as a sub-second – that’s two orders of magnitude faster than today. Not only does this provide Consumer Products leaders more real-time reports, but it saves IT time and effort managing this process.
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