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,
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.
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.
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?
Analysis of Management Information frequently includes transforming discrete period by period data from the raw numbers, in order to find insight.
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.
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.
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.
This article discusses what the information in most conventional financial reporting consists of.
This article contains a simple 10 point checklist that we give Metapraxis analysts to use when they create an executive dashboard.
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?
Returning to the subject of the dimensional structure of Management Information, today we will look at the characteristics of the item dimension.
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.
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.