Data warehousing (DWH) projects are among the most expensive projects of companies in the financial industry. Problems like budget overruns and low end-user acceptance lead to the assumption that despite intensive research over the last two decades the relevant elements determining the success of such projects are not sufficiently investigated. On the basis of a case study about the implementation of a group-wide DWH the author analysis the existence of those still inadequately considered success factors. One challenging hurdle that project members have to clear is the complete fulfillment of interface specifications elaborated during conceptual modeling phase. The author chooses an interdisciplinary approach that involves established langu...
Data warehouse (DWH) systems are developed to support the process of decision making. Due to the num...
The building of shared understanding between project stakeholders in the requirements elicitation ph...
Data warehouses (DW) form the backbone of data integration that is necessary for analytical applicat...
Data warehousing (DWH) projects are among the most expensive projects of companies in the financial ...
Data warehousing (DWH) projects are among the most expensive projects of companies in the financial ...
Data warehouses increasingly play important roles in the information technology landscape of the fin...
The financial industry relies greatly on information technology (IT) because of its work with immate...
Due to their complex nature, data warehouse (DWH) development projects often fail or significantly e...
Data Warehouse (DWH) projects bring together different communities of practice to create one body of...
Information management and logistics rely on underlying data warehouse (DWH) systems. The developmen...
Having completed the requirements engineering phase in a software engineering project, we usually re...
Due to their complex nature, data warehouse (DWH) development projects often fail or significantly e...
Data warehouse projects bring together different communities of practice, with the primary objective...
This dissertation examines the Critical Success Factors (CSFs) for successfully implementing Electro...
Data warehouse (DW) and business intelligence (BI) systems are among the most important IT-based sys...
Data warehouse (DWH) systems are developed to support the process of decision making. Due to the num...
The building of shared understanding between project stakeholders in the requirements elicitation ph...
Data warehouses (DW) form the backbone of data integration that is necessary for analytical applicat...
Data warehousing (DWH) projects are among the most expensive projects of companies in the financial ...
Data warehousing (DWH) projects are among the most expensive projects of companies in the financial ...
Data warehouses increasingly play important roles in the information technology landscape of the fin...
The financial industry relies greatly on information technology (IT) because of its work with immate...
Due to their complex nature, data warehouse (DWH) development projects often fail or significantly e...
Data Warehouse (DWH) projects bring together different communities of practice to create one body of...
Information management and logistics rely on underlying data warehouse (DWH) systems. The developmen...
Having completed the requirements engineering phase in a software engineering project, we usually re...
Due to their complex nature, data warehouse (DWH) development projects often fail or significantly e...
Data warehouse projects bring together different communities of practice, with the primary objective...
This dissertation examines the Critical Success Factors (CSFs) for successfully implementing Electro...
Data warehouse (DW) and business intelligence (BI) systems are among the most important IT-based sys...
Data warehouse (DWH) systems are developed to support the process of decision making. Due to the num...
The building of shared understanding between project stakeholders in the requirements elicitation ph...
Data warehouses (DW) form the backbone of data integration that is necessary for analytical applicat...