7 Benefits of Data Visualization

Data visualization refers to presenting data in a graphical or pictorial form, such as a pie chart. This allows audiences to recognize patterns more quickly. Interactive visualizations allow decision-makers to drill down through the layers of detail. This changes perspectives so that users can review the facts behind the analysis.

Here are seven ways that data visualization affects decision-making and changes organizations.

The human brain tends to process visual information far more easily than written information. Use of a chart or graph to summarize complex data ensures faster comprehension of relationships than cluttered reports or spreadsheets.

This provides a very clear form of communication allowing business leaders to interpret and act upon their information more rapidly. Big data visualization tools can provide real-time information that’s easier for stakeholders to evaluate across the enterprise. Faster responses to market changes and quick identification of new opportunities is a competitive advantage in any industry.

Many business reports submitted to senior management are formalized documents that are often inflated with static tables and a variety of chart types. They become so elaborate that they fail to make information vibrant and memorable for those whose opinions matter most.

Reports coming from big data visualization tools, however, make it possible to encapsulate complex information on operational and market conditions in a brief series or even single graphic. Decision makers can easily interpret wide and varying data sources through interactive elements and new visualizations such as heat maps and fever charts. Rich but meaningful graphics help engage and inform busy executives and business partners on problems and pending initiatives.

One benefit of big data visualization is that it allows users to track connections between operations and overall business performance. Finding a correlation between business functions and market performance is essential in a competitive environment.

For instance, the executive sales director of a national software company may see immediately in a bar chart that sales of their flagship product are down eight percent in the Southwest region. The director can then drill down to see where the variances are occurring and start formulating a plan. In this way, data visualization allows executives to spot problems immediately and act on them.

The amount of data now being collected on consumer behavior can expose many new opportunities for adaptable companies. However, that requires that they are consistently collecting and analyzing this information.