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HANA Computing Based Marketing Statistical And Analysis System

Posted on:2014-07-04Degree:MasterType:Thesis
Country:ChinaCandidate:Q ZhuFull Text:PDF
GTID:2308330464464364Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the fast development of information technology, we have entered an era of big data. The continues growing data slow down the efficiency of information systems, and increase the burden on database system. Currently companies need to quickly response the market change, so they need to deal with big data and make real-time data analysis. This is the only way to catch the speed of the market, accurate analysis the demand, get the right conclusions from the sales report, and then guide the company to increase profits and improve the competitiveness. But the old disk database system may not achieve the target for the technical limitation. As the new in-memory database technology named HANA database bring the innovation, it is a very suitable solution by the new in-memory database architecture to improve system performance.HANA-memory database is the core architecture in this system. Based on the daily operation requirement of the enterprises, we design a set of fast statistical analysis system. This system uses the SLT to reconcile data between source and target system. The data stored and computed in the core SAP HANA database. The reports are shown with SAP BO. The system can satisfy the relevant character at all levels of the sales report analysis requirement, including high-level policy makers, middle level managers, sales guy and financial managers. The system imports the sales big data into HANA database for real-time analysis, and creates the analysis reports by different prospects. The system achieved the target to show real-time analysis reports to the enterprises, and improved the information system speed for data loading and computing.
Keywords/Search Tags:Big Data, in memory computing, SAP HANA database, profit analysis report
PDF Full Text Request
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