Corporate data-repositories within data-warehousing environments are extensively used for decision making and businessintelligence applications. Managing the growing repositories involves high implementation and maintenance costs that are largely quantifiable. Conversely, the value-contribution of such repositories has rarely been quantified and organizations often debate whether the value-gained justifies the costs incurred. Building upon an optimization model proposed earlier, this study furthers our understanding of the value of data-repositories. Based on the premise that design choices associated with a data-repository affect its value-contribution and costs, this study explores formulations that model these effects. Such models are powerful tools for cost-benefit assessment of data-reposito ries and can direct economically-optimal design in data management environments. The model is demonstrated for configuring the optimal time-span for a data-repository.
['Adir Even', 'Ganesan Shankaranarayanan']
Maximizing the Economic-Performance of Data- Repositories: Configuring the Optimal Time-Span