Information Visualization Futures Advantages Disadvantages

Information Visualization IV Meaning, Futures, Benefits, Advantages, Drawbacks, and Disadvantages in Information Technology Essay; It is the process of showing the data in a graphical display; which we cannot explain using words and text in other words; it is a set of technologies that use visual computing to amplify human cognition with abstract information. The greatest advantage of information visualization is its ability to show the amounts of information that are beyond the capacity of textual display. They can significantly improve productivity.

Here is the article to explain, How to define Information Visualization Meaning, Futures, Benefits, Advantages, Drawbacks, and Disadvantages in Information Technology Essay!

Users can explore large amounts of data, rapidly assimilate information from many sources, reason with it, understand it and create new knowledge based on it. With the right visual picture, people can make better decisions, faster, backed with more information. One of the most obvious benefits of visualization is helping people see trends and anomalies in data; which can be particularly valuable in real-time environments.

Visual techniques such as heat maps and tree maps; which help reveal patterns in homogenous data, were virtually unknown so many years ago; but used today in many places ranging from public Web sites to advanced trading applications. Real-time environments require rapid comprehension of a dynamically changing situation; whether in the stock market, an emergency response center or an operations control center. Visualization can also help reveal patterns in complex, heterogeneous, rapidly updating data.

Futures of Information Visualization;

The earlier Versions of IV has given an option to users to become familiar with basic forms of graphical representations of data. In the future we can expect to see even more advanced representations, which may even allow the user to enter into the data and explore. Today there are many organizations and universities working to develop new methods of information visualization to explore the challenges that are facing today, such as AT&T’s IV Research Group, the Pacific Northwest National Laboratory and NIST, as well as a wide range of international conferences focusing on industry-specific applications.

If we are able to develop cheap and cost effective Virtual reality devices future of information visualization may lie in some sort of ‘full immersion’ technology, in which the user may enter the representation itself to allow them to better understand and manipulate visual data in other words an user will be able to enter in the graphical representation and will be able to manipulate data. Whether this type of true 3D representation would actually improve the user’s ability to figure out the data is as yet unclear, though it does seem likely that in the near future the field of IV will move beyond the constraints of the 2 dimensional computer monitor.

Technology;

As computer technology is improving we are likely to see better graphics applications and analysis software. New methods of visualizing data will ultimately drive traditional forms of data presentation. Their graphical presentations have already been introduced; and with time we can expect to see better and more advanced presentations. They do not only used to communicate information to the public; but also by scientists as their main tool for understanding environmental changes on the global scale.

When dealing with many different data points, sometimes the only way to understand the “big picture” is to make a picture. The visualizations that created in the process overlay colors and patterns onto the familiar image of the globe, creating an image that is both strange and familiar. Many environmental systems move too slowly or involve too many interrelated variables to be comprehensible without the aid of visualization tools. “Scientific visualization of simulation data allows one to zoom around at will, run forwards or backwards in time at any rate, and transform and filter the data arbitrarily”.

Benefits or Advantages of Information Visualization;

Some of the other advantages of information visualization are:

• Increasing the memory and processing resources available to the user.
• Reducing the search for information.
• Using visual representations to enhance the detection of patterns.
• Enabling perceptual inference operations.
• Using perceptual attention mechanisms for monitoring.
• Encoding information in a Manipulable medium.

Drawbacks or Disadvantages of Information Visualization;

Some of the other disadvantages of information visualization are:

• The potentially misleading perception of reliability of a visualization.
• User will get carried away by the graphics used for representing the data. Making the user stay focused on what they exactly want to do is difficult; if the graphical representation is an eye catching design.
• The (multiple) implicit meanings inherent in visualizations (leading to ambiguous interpretations).
• For the user to make sense out of the graphical representation or to understood; the data used should be familiar to the audience and interesting. If the user doesn’t know what exactly represent in the graphics users might misunderstand the data.
• The high prerequisites for diagram interpretation.

Usage of Information Visualization;

Visualization is extremely powerful for analysis. Visualization makes use of what called external cognition External resources used for thinking. People relieved from having to imagine everything. Instead they can just look at an image. This is only possible because human vision has a very large bandwidth, the largest of all senses. Data Visualization, They applied in numerous areas covering every industry and all tasks where understanding of the core structure in data is crucial.

Some prominent examples are:

• Economical/financial analysis
• Representation of large hierarchies
• Medical training/assistance
• Engineering/Physics

For Example:

As shown in the figure below the data which is very difficult to understand displayed graphically using colors and shapes; which makes a user understand easily Table Versus IV. The table shows only 50 rows x 9 columns out of 80,000 rows of data. The visualization scatter plot shows 80,000 points with 5 attributes (x position, y position, height, size, color) – more than one hundred times what is visible in the table.

To be understood, the data used should be familiar to the audience and interesting; and also user must have some experience using the IV. A normal person who is just being exposed to the IV will not understand the data if it is a complex image.

This potential disadvantage belongs to the category of cognitive problems caused by the designer of a graphic representation. It occurs when visualization distracts a person from the main goal he or she tries to achieve or when several items in a graphic emphasized at the same time, thus confusing the viewer about where to start or to focus.

Conclusion;

Information Visualization systems, appear to be most useful when a person simply does not know; what questions to ask about the data or when the person wants to ask better, more meaningful questions. It is much easier to explain using demonstrations than words. However, to understood, the data used should be familiar to the audience and interesting. Ultimately, however, we believe that it is up to the community of IV researchers; and practitioners to create techniques and systems that clearly illustrate the value of the field.

In general, we can also come to positive conclusions for almost all parameters; and hence predict a bright future for IV. The number of potential users is very large. It is a very useful tool in the IT as to manage systems in data centers. When all the servers graphically represented, it will be very easy to understand; which one is faulty and it is easy to trace where and what had happened.