Enterprise BI and data analysis platform using SAP HANA (SAP enterprise BI using NetWeaver)
Material type:
TextDescription: MSC DA 2016-2018Subject(s): Dissertation note: MSC DA 2016-2018 INT
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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Project Reports
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Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre | Non Fiction | Not for loan | R-1363 |
Business 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.
MSC DA 2016-2018 INT Mr. Vishnu Kabil
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