Abstract :
Data quality checking in a data warehouse is a key success factor for each Business Intelligence project. In fact, it has a direct impact on taken decisions. If the Data quality checking is good enough for decision makers, the decision support system is very helpful for them. It allows them to have the right inputs to take the right decisions wherever and whenever they need them. But when the data warehouse is of poor Data quality checking, it can have serious impacts on taken decisions that may be even disastrous. Considering this importance of Data quality checking in data warehouse, we aim in this study to investigate the influence of such contingency factors as top management commitment, Data quality checking management practices, external expertise, Data quality checking at the source, Team Working and technology factor, on the one hand, and Data quality checking in data warehouse, on the other. We developed a conceptual model where we formulated the relevant hypotheses (Zellal & Zaouia, 2015) and then we established the measurement model (Zellal & Zaouia, 2016). We conducted the survey in Morocco and we used a structural equation modeling technique to analyze the collected data. The objective of identifying the most critical factors is to enable stakeholders to better use their scare resources while implementing a data warehouse by focusing on these key areas that are most likely to have a greater impact on the Data quality checking in data Warehouse.
BY Ghadge Nagnath G. | Panchal Vishwanath D. | Shaikh Riyaj"An Examination of Factors Influenced in the Quality Checking of Data in a Data Warehoused"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017,
URL: http://www.ijtsrd.com/papers/ijtsrd8213.pdf
Paper URL: http://www.ijtsrd.com/computer-science/data-miining/8213/an-examination-of-factors-influenced-in-the-quality-checking-of-data-in-a-data-warehoused/ghadge-nagnath-g
Keyword :
Data quality checking Check, Business Intelligence, Data Warehouse, Influencing factors