A dissertation proposal measuring the return on investment (ROI) of real-time data warehousing in manufacturing.
Written in 2008; 1,567 words; 4 sources; APA; $ 51.95
Paper Summary:
The paper relates that real-time data warehousing is emerging as a strategy many manufacturers are relying on to better synchronize their efforts with suppliers, commercial customers, warranty centers and service centers, in addition to channel partners. The paper proposes a dissertation that will evaluate whether manufacturers are attaining a positive return on investment (ROI) for adopting a real-time warehousing architecture and strategy. The paper outlines the conceptual framework and methods and methodologies for this dissertation.
Outline:
Introduction
Conceptual Framework
Analytical Methods and Methodologies
Conclusions
From the Paper:
"Data warehouses have progressed from being repositories of data, used only by accounting and finance, to becoming an indispensable part of all departments' analytics and reporting requirements. Having transitioned from being the repository of data in the past to a platform for inter-departmental and inter-divisional analysis of results at the tactical and strategic level, data warehouses form the foundation of many organizations' business intelligence (BI), predictive analytics, customer segmentation, pricing modeling, and measures of operating effectiveness including manufacturing key performance indicators (KPIs). Corresponding to the exponential demands on data warehouses across organizations has been the demand for real-time data warehousing over batch-oriented processes. Getting data in real-time is also exponentially more costly on the one hand yet critical for manufacturing companies competing globally. "
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