A company’s board of directors is collectively responsible for leading and directing its affairs in order to promote its success To fulfill this role,

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An absorbing and thought-provoking book by Hunter Whitney published in 2013, called “Data Insights: New Ways to Visualize and Make Sense of Data”, contains a useful framework setting out some of the primary roles for data visualization.

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We can’t use an MAT for a stock type item (like Accounts Receivable or Headcount) or a statistic (such as GrossMargin % or the £/$ Exchange Rate) because totalling these items over time periods doesn’t make any sense.

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Developing an understanding of performance trends and identifying turning points is fundamental to managing the future.  So what is the best way to spot the underlying trend in a data series that includes actuals, prior year actuals, budgets and forecasts?

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Analysis of Management Information frequently includes transforming discrete period by period data from the raw numbers, in order to find insight.

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Over the past few weeks we have looked at the inherent dimensional structure of management information and examined the unit, item and mode dimension in more detail.

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The infographic in today’s City AM (reporting the sales growth and market shares of the major UK supermarkets) has taken some positive evolutionary steps forward since I last noticed a similar graphic in the same newspaper last September.

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It seems strange that the management accounting profession has yet to invent a universally recognised collective noun for the different types of data like actuals, budgets and forecasts.

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This article discusses what the information in most conventional financial reporting consists of.

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This article contains a simple 10 point checklist that we give Metapraxis analysts to use when they create an executive dashboard.

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Defining business success has never been much of a problem for managers. If you deliver above-sector profit growth, together with positive cash flow and a growing dividend, you are certainly succeeding. But just how are you supposed to do that?

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Returning to the subject of the dimensional structure of Management Information, today we will look at the characteristics of the item dimension.

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We introduced the dimensional structure of MI in a post earlier in the week.  It turns out that the following dimensions are common to virtually all organisations, irrespective of their size or sector.

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Thinking about MI in the form of multi-dimensional cubes provides a very useful means of classifying the various distinctions that describe the data we are working with in graphs and tables.

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