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Overview: Many statisticians, business analysts and other quantitative analysts are required to present the results of their modeling efforts to non-quantitatively trained decision-makers, or to decision-makers whose level of statistical training may be very limited. This paper from SAS discusses several ways that the results of predictive models can be effectively communicated to non-technical decision-makers. No matter how elegant your model is, or how well it satisfies various statistical criteria, its usefulness within the organization is hampered unless those who are tasked with implementing it can understand what the model will do for them, and what the anticipated benefits are of deploying the model.
Enterprise Packages: Where Are They Headed?
This shift in the development and usage of business applications in large corporations began in the 1990s when enterprise packages arrived on the scene....
Impact Business Performance with BPM
To maximize your chances for success, you need the ability to continually optimize, streamline and align business processes to meet changing business needs for greater performance. Business process management (BPM) from IBM can help.
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