Abstract:

The right information at the right time to make the right decision in order to achieve the right objectives is the strategic concern of business executives. Data management and information reterival is the strongest faciltity provdied by data warehouse for business intelligence in multinational enterprise. Data warehousing is multidiscipline area of study in field of computing which can never be neglected called acacemic excellence. The strategic users of data warehouse identified DWH strengths in business decision making and recognize its value and importance in the business world called business intelligence. In the meantime, poor data management methodology and inflexible model generate unexpected results and megnifiy the inefficiency in operations of Multinational Enteprises (MNEs). Data Warehouse failure is disappointing the business organization when it unables to provide a firm competitve edge (CE), expected return on investment (ROI), and satsifying its customers (SC) etc. For this intelligence, a proper DWH managment is required. The author has proposed Data Warehouse Failure Prevention Model in context of business intelligence that willbe helpful in rectification of data managemnt inflexiblities and problems. Moreover, it will be effective in solving the issues arise in the process of data warehouse deployment in the context business intelligence.