Roadmap From Raw Data To Output: Data flow process in service and manufacturing business

Abstract

Data analysis is the process whereby a large volume of raw data is reproduced based on the raw data available through collecting, cleansing, transforming and modelling with the aim of gaining meaningful conclusions as well as useful information to support decision making to achieve efficient and effective results. Companies and enterprises derive their data from a multitude of sources in order to meet business demands.

SAP is system application software that is used to provide users with full packages of integrated modules, which cover all components in business management. Since its inception, SAP has released several products that match up evolution in businesses such as SAP HANA, SAP HANA Studio, and SAP BW/4HANA.

Fujitsu and Wärtsilä, cases in point for the present study, are both multinational companies that have customers worldwide. They both offer a variety of products and services to their customers in a large scale. Besides, both companies also make use of several reporting tools to render services and enhance better customer experience. SAP BW/4HANA, for example, is one of the tools these companies use to provide experienced management solutions and innovative techniques to customers. Focusing on service and manufacturing business, both companies provide such line of business but use different methods and techniques to analyze data. As an example, a service business may concentrate on sales performances, human capital performances etc., while manufacturing on its path, may concentrate on production and purchasing performances.

This thesis set out to describe the data flow process in Fujitsu and Wärtsilä as service and manufacturing businesses, challenges and possible solutions for their further improvement.