Introduction
The rapid increase in the electronic data in the current market is changing the mindset of the business man. Every business personal is trying to get the most appropriate data relevant to them out of the huge amount of data in easiest format to make the decisions. Visual Analytics mainly focus on how to represent the huge and complex information in a easy and user understandable format. Bar graphs and pie charts are required to have broader view towards the hugely available information for quick decision making. To look into the information with a specialized view for digging in the information table values is necessary. Understanding how Visual Analytics is crucial for data representation in different domains and different situations.
Building blocks of Visual Analytics:
Figure 1: Visual Analytics building blocks [5]
Visual Analytics is defined as a multidisciplinary for interaction in both behavioral and technical science. Visual Analytics is interactive visual representation of information by analytical and statistical approaches. In the above figure 1, it describes the building blocks of visual analytics. The main focus of Visual Analytics is on cognitive science, information science, mathematical approaches and graphical representation. Cognitive science is a scientific research discipline which describes “detect the expected and discover unexpected”. There are different types for representing information and one among them is visualization. Displaying information visually is easy to make decision. For displaying information, data is to be organized in a different pattern by using different mathematical and statistical methods. That information is displayed by using pictorial and graphical representation....
... middle of paper ...
... much information for client side testing and quality assurance of from client side for the report.
Second improvement for SAS Visual Analytics tool is SAS software must provide the resource management tool integrated to the software which will be helpful for the reporting team lead for estimating the status of the report development and forecast the future plans based on the status.
Conclusion
Visual Analytics has played a crucial role in every possible domain for creating a crucial decision making. In future there will be a phase where there will be automatic logical decisions will be provided by the systems from the data generated from the Visual Analytics. This will be a combination of artificial intelligence with Visual Analytics. This will bring a new life for a new era in which computer will take the place of analyst for complex decision making.
In this image, a sewage worker is seen cleaning the drainage system, with his bear hands, without the use of either any equipment’s or protection. On the first glace, the image depicts the idea of health risk, because the man is exposed to such contaminants, which for him is work. He is looking up from a dirty drain, covered in filth, which shows that he is clearly used as the subject of this image, whom we are engaged to more as he is making eye contact with its viewers. This picture only includes one person into the frame, as the other man’s face isn’t available to see in this picture, which is man that is holding the bucket. Holding a bucket either emphasise the idea that he is helping the sewage worker, either to get the dirt out or to put the dirt in the drainage system.
Overview dashboards for all report sets. For navigation consistency, it is required that a chart from each report set to be displayed on this dashboard
In examining the military history, one can easily find out that the main role of military leaders in the field is to decrease confusion and to guide units to achieve the desired end state. In accomplishing these tasks, Situational Understanding and Visualization have become necessary steps especially in today’s complex environment. This importance legitimates the question about their relationship between these two steps and the challenges facing leaders to achieve situational understanding and visualization. Commander’s visualization depends on Situational understanding. Leader’s success in these two phases remains conditioned by overcoming some challenges related to his bias, time and the efficiency of his staff.
7. Ledford, J. L., Teixeira, J., & Tyler, M. E. (2010). Google Analytics (3rd ed.): Wiley Publishing,
Smith, W., & Jewett, D. (2009). Tableau software and teradata database the visual approach to the active data warehouse. In Retrieved from http://www.tableausoftware.com/learn/whitepapers
The first sets of the visual analysis are on drunk driving and drug use. All of these pictures relate to drunk driving and drug use and why it is bad for us to drive under the influence of alcohol or drugs. In the first visual set, there are drunk driving and drug use advertisement pictures that are more effective than the others.
One thing to remember when using any decision-making tool is to keep the end in mind. In other words when working through a process, visualizing the end result is Helpful. We must also remember that in every decision-making process there are a multitude of tools to help us along the way. No tool is really better then another, in fact most are made to compliment each other not as a soul solution to the process at hand.
These obstacles include the wholesomeness of the data, analytical knowledge, an understanding of statistics, and several other philosophical and educational challenges. Gathering the data is usually half the battle in the analytics game. The data collected could include social networking information, sales lists, real estate listings, product lists, and product reviews and can be gathered into structured storage and analyzed. The gathered data proves to be a valuable resource for businesses that look to analytics in order to enhance their market
After understanding the possible outcomes and usages of Big Data Mining and Analytics, the study of the process is necessary to identify the real possibilities behind this techniques and how this can improve a business performance. To do this; we should comprehend the basics about data mining and the process that leads from pure data to insights.
Now days, companies are searching for new ways of gathering data so that they can get useful data in order to make well informed decisions regarding the market they are operating in. Google analytics is considered one of the best tools offers extensive amount of data to business owners for free. However, the success of business is highly depended on how well they can arrange data and customize their collected data corresponded to their business priorities. Google analytics provides beneficial information for companies regardless of their extent of operation.
...r example of utilising the latest software which provides incessant development in operational presentation in order to ensure smooth operations always.
Companies have transformed technology from a supporting tool into a strategic weapon. ”(Davenport, 2006) In business research, technology has become an essential means that many organizations use in their daily operations. According to the article, Analytics is a major technological tool used. It is described as “the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions.
Big Data analytics helps to explore hidden correlations, hidden patterns and provide other valuable insights into the data. This analysis helps to data scientists and other users to evaluate large volumes data, which might be left untapped by traditional business intelligence (BI) systems. Big data analytics can provide competitive advantages to organizations. It also help to achieve business benefits such as more effective marketing and increased revenue. The key goal of Big Data analytics is to assist organizations in making superior business decisions. [8]
Analytics means using data and performing statistical analysis on it, applying quantitative and predictive models, in order to arrive at a certain decision. Analytics can be the first step in a process or can rather be an intermediate step as well. Analysis can be done using different set of tools that are available in the market or it can done manually using different concept and formulas. Business intelligence firms like Cognos, SAS and BusinessObjects have developed different tools that are readily available in market that assist in analysis and decision making. Analytics is used in order to find solutions to the problems and the solutions provided enables us to be successful and in the business world allow us to compete with our contenders.
Pie charts can be an excellent tool for presenting information in a simple, visual and comprehensible manner. If used in the right situation and best practices are followed, the pie chart may be the tool that most influences a decision.