Enterprise BI and data analysis platform using SAP HANA (SAP NetWeaver implementation and sales forecasting)

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. Here the challenge is to predict daily sales for stores located across Germany. Reliable sales forecasts enable store managers to create effective staff schedules that increase productivity and motivation. By helping Rossmann create a robust prediction model, trying to help store managers stay focused on what’s most important to them: their customers and their teams. Undoubtedly, there is more scope to this project since business data is dynamic and keeps on evolving.

MSC DA 2016-2018 INT Dr. Manoj Kumar T K