Goal Structured Requirement Engineering and Traceability Model for Data Warehouses
Author(s) -
Vinay Kumar,
Reema Thareja
Publication year - 2013
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2013.12.10
Subject(s) - data warehouse , traceability , computer science , dimensional modeling , business process , business intelligence , competitive advantage , order (exchange) , process management , database , knowledge management , data science , software engineering , business , work in process , marketing , finance
Data warehouses are decision support systems that are specifically designed for the business managers and executives for reporting and business analysis. Data warehouse is a database that stores enterprise-wide data that can be used to deduce useful information. Business organizations can achieve a great level of competitive advantage by analyzing its historical data and learning from it. However data warehouse concept is still maturing as a technology. In order to effectively design and implement a data warehouse for an organization, its goal needs to be understood and requirement must be analyzed in the perspective of the identified goal. In this paper we present a goal structured model for requirements engineering that also enables its users to manage traceability between the goals, decisions, business strategy and the corresponding business model
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