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040 _cIIITMK
100 _aMerly S Joseph (92216016)
_914036
245 _aEnterprise BI and data analysis platform using SAP HANA (SAP enterprise BI using NetWeaver)
300 _aMSC DA 2016-2018
500 _aBusiness Intelligence and Big Data have become increasingly important over the past two decades. Although there is a great advance in technology, but the rate at which business data is growing is much higher. Business as a whole revolves around 3 words –customer, sales and purchase. Trying SAP’s latest BI integrated technology platform –NetWeaver- was an all-new experience. NetWeaver was initially connected to SAP HANA, which is the master database for a SAP ERP system. After implementing SAP HANA, NetWeaver was configured. The raw data was then loaded into NetWeaver for removing redundancy in data. This is possible through NetWeaver’s major component InfoCubes, which enables a 3D object alignment of data. The data retrieved through InfoCubes is the ultimate redundant data that can be used for predictive analysis. Predictive analytics extracts information from data sets in order to discover complex relationships, recognize unknown patterns, forecasting actual trends, find associations, etc. This allows us to anticipate the future and make the right decisions. Here the historical sales data for 45 stores located in different regions has been provided. Each store contains a number of departments. Predicting the department-wide sales for each store for the following year, modelling the effects of markdowns on holiday weeks, providing recommended actions based on the insights drawn, with prioritization placed on largest business impact were what we wanted to achieve through this project. Undoubtedly, there is more scope to this project since business data is dynamic and keeps on evolving.
502 _bMSC DA
_c2016-2018
_dINT
_eMr. Vishnu Kabil
650 _aBUSINESS INTELLIGENCE
_914037
650 _aSAP HANA
_914038
650 _aNETWEAVER
_914039
942 _2ddc
_cPR
999 _c6056
_d6056