Big data visualization

3 Ways Interactive Visualization Helps Interpret Data


The amount of information produced by enterprises grows at an astounding, exponential rate. However, raw data provides little, if any, actionable insight. Therefore, organizations need information experts who can analyze large amounts of data and produce reports that provide meaningful value.

Interactive visualization could become the remedy for generating actionable information from mountainous data sources. Working in disciplines such as bioscience, intelligence analysis, and investigative reporting, information technology experts support organizations with decision-making processes. Duly, the demand for data visualization technology experts is on the rise as more organizations and researchers adopt the interactive data analysis technique.

A New Analysis Tool for a New Challenge

Interactive visualization tools provide a marked advantage compared to static data analysis. Large and varied sets of big data require enhanced discovery and optimization processes to unearth meaningful findings amidst a growing sea of information.

Interactive data visualization specialists use their expertise to differentiate data points that are difficult to distinguish, maintain information integrity, and harness technology that can manipulate vast information stores. Although working with interactive visualization tools proves more challenging compared to traditional static visualization methods, the resource produces intuitive diagrams, images, and tables representing large amounts of data in an intelligible and useful manner.

Expert technology consultant the Aberdeen Group reports that decision makers who take advantage of visual information analyses are 28 percent more likely to find critical facts before other firms. More importantly, suggests the Aberdeen Group, nearly half of all executives can use the technology to make reports on demand once information technology specialists have installed the technology and established usage policies.

The following three sections delve into the benefits of interactive data analysis in more detail.

Benefit One: Multiple Analysis Perspectives

Effective interactive analyses present data in a way that allows end users to peruse information that is of particular value. Researchers often look for specific data points or patterns. On other occasions, a researcher may want to wander through data with the hope of finding meaningful details. Interactive data visualization technology is an effective tool for discovering hidden facts and new concepts. This kind of investigative analysis requires the gathering of large amounts of related and unrelated information consolidated into a useful format. Traditional, static information intelligence reports commonly consist of charts and tables that do not clearly detail critical facts to stakeholders. Reports generated using interactive visualization, detail large amounts of data in a way that summarizes vast processes using objects such as heat maps, fever charts, and other information-rich graphical representations.

Benefit Two: Freedom to Explore Big Data

Researching an unfamiliar body of information can prove challenging for an investigative analyst. When faced with this obstacle, researchers need a way to understand the details involved with the real-world application of a particular dataset. Interactive visualization tools provide researchers with intuitive interfaces that facilitate the ability to manipulate information in ways that are meaningful to the user.

This is especially critical for applications such as intelligence and law enforcement analyses. While these domains differ, they may share policies such as determining data validity and hiding or disclosing certain details. However, analysts from both of these domains might work with similar information such as telephone numbers, addresses, and bank account numbers.

Benefit Three: New Tools for Organizational Leaders

By presenting information differently, interactive visualization technology may change the way that decision makers view enterprise and operational data. Traditional static analyses only reveal part of the story. Interactive visualization is an innovative business language that allows stakeholders to see the story behind the data.

While static reports do provide useful data, modern executives need more in-depth information. Using interactive visualization, these decision makers can create actionable data from information stores one could never hope to evaluate using traditional data visualization techniques.

Advancing Data Analysis Practices

By using big data to uncover hidden facts, information experts help decision makers quickly identify and resolve problems. The technology allows stakeholders to view how enterprise processes interact and produce various outcomes. The reports generated using interactive data visualization assist organizational leaders in solving problems that may not present an apparent answer.

Finding the hidden possibilities buried in big data represents one of the main benefits of interactive visualization in the contemporary competitive marketplace. As competition grows fiercer among nearly every kind of enterprise, the information gleaned from interactive visualization analyses will grow increasingly important in gaining an advantage over competing firms and influences.

Analyses conducted using interactive data visualization mirrors an exciting exploration into unknown territory. While initially foreign, each report establishes a new frontier. With this technology, tomorrow’s information experts will help organizational leaders achieve new horizons of performance.

Learn More

Information means more than knowledge, it means solutions. When technology, people and information intersect, society and industry benefit. You can harness the power of information with our online Master of Information degree online Master of Information degree at Rutgers University.

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