Practical pragmatics and Data Visualization
In a broad sense, information is structured, processed and organised information. It gives context to other data and allows analysis to be made. For instance, a single consumer’s sale in a restaurant is data this becomes data when the company is able to accurately identify the least popular or most popular dish served. By combining restaurant data with sales and product data, restaurant owners can make informed decisions about menu planning and marketing strategies.
In addition to being a core component of many industries, information technology has developed into a pragmatic enterprise tool because it has an economic advantage over other methods of data analysis. Economies of scale allow data visualization to reduce processing time and costs and thereby improve customer service. Practical pragmatics also dictates that users of information technology tools should be allowed to modify data sets at any point of time.
The analysis and manipulation of large amounts of discrete or continuous data demands that data visualization techniques such as Cartesian and multivariate tables, which are more general purpose tools. As a result, practitioners of information technology must be able to meet the challenge of designing a set of tools that can meet the needs of any industry category. This is where organizational decision making meets information technology. Information may provide critical insight into organizational issues and help managers make decisions, but when too much information leads to indecision and even chaos, the benefits of information technology are jeopardized.