When it comes to business and big data, more isn’t always better. This is because raw data, when captured and stored in data silos, simply isn’t valuable unless it’s being broken down, evaluated, and acted upon. It’s been suggested that as little as 1% of the world’s data is effectively analyzed, with the rest either being captured and held indefinitely, or never captured at all. And as the amount of data being created on a daily basis grows from year to year, ever more valuable information is slipping through the cracks.
However, perhaps even more troublesome is when data is properly analyzed, and nonetheless still goes to waste. Bad data, which is to say data that is either inaccurate or incorrectly analyzed, has been shown to cost businesses as much as 25% of their revenue in certain situations. But it doesn’t have to be this way. Often, getting the most out of analyzed data is simply a matter of understanding data visualization.
Data visualization is a term used to describe the use of visual elements to better express the significance of data. Data visualization can take the form of charts, graphs, tables, or elements, and is an essential aspect of business analytics. Data visualization makes it possible for decision makers, particularly those without a background in statistical analysis or computer science, to quickly and effectively comprehend analytical data. But while data visualization can refer to something as simple as a spreadsheet, there are still a number of problems inherent with this form of visualization, in that it is too time consuming. In fact, 52% of employees surveyed say they spend too much time updating spreadsheets.
Coupled with the difficulty of locating specific information, and the high potential for confusion, this method may actually cause an organization more harm than good. Modern analytics software has improved upon the concept, and taken it much further, through the use of interactive data visualization software.
Interactive data visualization allows users the freedom to fully explore analyzed data. This provides many unique opportunities that organizations can benefit from. Here are three key advantages of using interactive data visualization software:
Compiling and comprehending data can be a difficult prospect, with 53% of surveyed employees claiming that gathering data takes actual, manual effort. However, with the right business analytics tool, and an effective data visualization program, that effort doesn’t have to be wasted. Data visualization empowers users with the ability to get real value from their captured data, and given how much data is available, this is an advantage that no business should pass up. After all, all the data in the world won’t do your business any good sitting untouched in a silo, and even data that has been mined and analyzed may ultimately fail to provide any benefit, unless you are able to quickly and easily comprehend its significance. Simply put, the real value of data lies in your ability to understand it, and for that, data visualization is an absolute must.