By Jennifer Widom
Active database structures increase conventional database performance with robust rule-processing services, offering a uniform and effective mechanism for lots of database approach purposes. between those functions are integrity constraints, perspectives, authorization, data collecting, tracking and alerting, knowledge-based structures, professional platforms, and workflow administration. this crucial assortment makes a speciality of the main favourite study tasks in energetic database platforms. The undertaking leaders for every prototype approach offer exact discussions in their tasks and the relevance in their effects to the way forward for energetic database structures. * A vast assessment of present lively database structures and the way they are often prolonged and superior * A entire creation to the middle themes of the sphere, together with its motivation and historical past * insurance of lively database (trigger) services in advertisement items * dialogue of drawing close criteria
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Additional resources for Active Database Systems: Triggers and Rules for Advanced Database Processing
The potential of data mining to "push" data back into the market as desirable products and services potentially redefines the economics of the retail banking industry. Through improved customer profiling and market analysis, banks could potentially reorientate their revenue streams from the origination, sales and support of financial products and instead specialize in customer relationship management services. The business model envisaged here is analogous to the vertically disaggregated model evident in some industries, such as manufacturing.
1980). Content analysis: An introduction to its methodology. Newbury Park, CA: Sage Publications. Maisel, L. S. (1992). Performance measurement: The balanced scorecard approach. Journal of Cost Management, 6(2), 47–52. Merchant, K. (1985). Control in business organizations. Boston, MA: Harvard Graduate School of Business. Mouritsen, J. (2000). Valuing expressive organizations: Intellectual capital and the visualization of value creation. In M. J. H. ), The expressive organization. Oxford, UK: Oxford University Press.
Chapter III: A Porter Framework for Understanding the Strategic Potential of Data Mining for the Australian Banking Industry Kate A. Smith, Monash University Australia Mark S. Dale, Monash University Australia This chapter employs Michael Porter's Five Forces model to understand the potential strategic value of data mining within the Australian banking industry. , industry behavior). In essence, this chapter explores how data mining can affect industry structure and attractiveness by assisting businesses such as banks defend themselves against forces such as those asserted by buyers, substitute products, new entrants, and suppliers.
Active Database Systems: Triggers and Rules for Advanced Database Processing by Jennifer Widom