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frequently are unaware that in every global enterprise today there are at least three different analytic tribes actively engaged in data collection, manipulation, analysis, and distribution I asked the head customer strategist at one of the top brands in the world to inventory the analytic tribes at work in his company He replied: At [our company], marketing is a highly analytic function probably much more so than our competitors there s a lot of analytics that go on thereThe analytics they do is related to what I do, but instead of being focused on the customer and the shopper while they re in the store, they re focused on the consumer and their behavior at home and out and about This customer strategist explained that the analysts in marketing were trying to gure out customer wants, needs, and behavior in the general context of their life.

I m trying to gure out, when they re in the store shopping, what are their triggers, hurdles, challenges, and how do we better create an environment that will compel them to buy, and speci cally buy our product The strategist identi ed two distinct active analytical tribes in the Finance Department One is planning, so it s developing our longrange annual plans, and there s a ton of analytics that go with that, as well as continual reporting of analytics through the course of the year And the other is like the controller s of ce, and the whole nancial running of the back room.

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I was surprised to learn that the information technology (IT) department at this high-brand company had its own analytics group, which the strategist described as being very analytical, in terms of how things are working, what s not up to snuff, what s performing below expectations, vendor promises, or service level agreements The supply chain group had its own analysts too The Demand Planning unit is a separate area with their own analysts R&D [research and development] It s a different slant on it, but they re constantly looking at the performance of our innovation pipeline I asked if all these analysts who worked in different departments ever got together and shared notes The answer was no Similarly, there are reporting relationships across the board Some practicing the analytical arts report to the president of the enterprise..

These typically accompany target market decisions and the availability of information about customer needs, preferred products and services and areas of satisfaction and dissatisfaction is crucial to product mix decisions.

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Expected inputs: What kind of data (text, numeric, binary) will the database have to handle Will the data be shared with other applications like Excel or another database system Does the data exist in a format that is easily imported into an Access database, or will the data have to be re-keyed at runtime Will all the data always be available Is there a chance that the type might vary For example, birth dates are obviously dates, but what happens if you know the year of birth but not the month or day User interface: Will the users be comfortable with simple forms, or will they need custom menus and ribbons, and other user-interface components Is context-sensitive online help required Expected outputs: What kind of reports are needed by the user Will simple select queries be adequate to produce the desired results, or are totals, crosstabs, and other advanced queries necessary as well

Collecting all the intermediate results from Eq. (5.62) and Eq. (5.64) yields the final approximate transient probability vector in its most general form:

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