Visualise your data so you can increase benefits

Because of the way the human brain processes information, it is faster for people to grasp the meaning of many data points when displayed in charts and graphs rather than poring over piles of spreadsheets or reading pages and pages of reports.

Interactive Visualisation

Interactive Data Visualisation goes a step further – moving beyond the display of static graphics and spreadsheets to using computers and mobile devices to drill down into charts and graphs for more details, and interactively (and immediately) changing what data you see and how it is processed.

More and more data is collected and analysed, decision makers at all levels welcome data visualisation software that enables them to see analytical results presented visually, find relevance among the millions of variables, communicate concepts and hypotheses to others, and even predict the future.

Why is Data Visualisation better?

Visualisations help people see things that were not obvious to them before. Even when data volumes are very large, patterns can be spotted quickly and easily. Visualisations convey information in a universal manner and make it simple to share ideas with others. It lets people ask others, “Do you see what I see?” And it can even answer questions like “What would happen if we made an adjustment to that area?”

Because of the amount of data collected on the age and reliability of the cell phone motors, a traditional electronic spreadsheet cannot visually represent the information due to data presentation limitations. And, if printed out, the spreadsheets would be a humongous pile of paper on the director’s desk. In both cases, the director would spend hours searching among thousands of rows and columns of data with still no concrete answer to the original question about the relationship between the motor’s age and its reliability.

Interactive charts and graphs make it easier for decision makers across all organisations to:

  • Identify areas that need attention or improvement
  • Understand what factors influence your customers’ behaviour
  • Know which products to place where
  • Predict sales volumes
  • Discover how to increase revenues or reduce expenses
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