Big Data Visualization using Spot Fire Intelligent Tool to Uncover Insights for Better Decision Maki

IJIRST –International Journal for Innovative Research in Science & Technology| Volume 3 | Issue 10 | March 2017 ISSN (online): 2349-6010

Big Data Visualization using Spot Fire Intelligent Tool to Uncover Insights for Better Decision Making Mr. S. S. Aravinth Assistant Professor Department of Computer Science & Engineering Knowledge Institute of Technology, Salem, India

E. Arun Student Department of Computer Science & Engineering Knowledge Institute of Technology, Salem, India

P. SaiDharsan Student Department of Computer Science & Engineering Knowledge Institute of Technology, Salem, India

Abstract Big data is one of the emerging terminologies there are many sub-terminology in big data here, and we use the visualization of collective data and to analyze, the most diseases of the patient likewise, now day’s machine power and man powers are generating huge amount data. So Based on this analysis we can know the diseases, amount of molecules in an atoms, which has spread over the month which helps us to purchase the medicine for the patients for their recovery. This terminology may overcome the old system by means which helps the government to know which disease affects the people the most. It also helps the government to take the precaution from the disease affecting people, so by using tibco spot fire we can know the desire result.

Keywords: Data Visualization, Big Data, Tibco Spot Fire _______________________________________________________________________________________________________ I.

INTRODUCTION

Now a day in the hospital people register their details to know their information and treat the patient with the necessary treatment.

Without their information they cannot find the people who are taking the necessary treatment. Based on this result we can find the medical history of the patients’ illness. By this we can buy medicine based on that diseases affected to the patient frequently. Based on that in the big data there is a concept called big sheet we will analyze the history of the diseases that the patient who are affected most.

Data Visualization By using this visualizing the data we can analyze the entire results for the problems ,visualizing data we can provide a turning point to find the new knowledge and insights about the patient diagnosis, data visualization helps to transform the original data into visualizing the data and enhance knowledge and understanding through thought, experience, and the senses. SO By Using data visualizations improve the presentation of the medical records, and also allowing subtle diagnostic aspects to be seen that would otherwise be hard to find.

Helping the doctors survive in a big data world With using the Big Data and the Internet of Things, doctors will be able to detect the trends and patterns that never before possible with smaller sets of data. Dr.Denton from the academy of pediatrics from American academy noted that Computer are storing and analyzing lot of things which are like machine level and human level data,and he have decided to Implement this concept to analyzing the Atoms and molecules like DNA,RNA,so that we can identify the accurate measures in the medical field ,By analyzing we can produce the accurate results for the diseases and then we can easily rectify the problems ,By Using visualization we can produce the results.

Ways data visualization will help your organization According to the IDC, the total data will be 40 zettabytes – that’s 40 trillion gigabytes – of big data by 2020. So the Companies will need to have a huge traffic and strategic approach to dealing with these much of data. Hence the visualization is being incorporated into more and more business intelligence and strategies to help the drive dollars back to the bottom line by helping analysts reduce costs or drive productivity, based on according to an article in Forbes 1) Improved response times: Data visualization Many puts the data into the users’ hands and allowing them to quickly identify issues and improve response times.

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Big Data Visualization using Spot Fire Intelligent Tool to Uncover Insights for Better Decision Making (IJIRST/ Volume 3 / Issue 10/ 050)

2) Greater Simplicity: By using the visualizations that may allow the users to get the big picture and see the details at the same time. So it simplifies the data by allowing the users to interact only with relevant data.

3) Easier visualization of patterns: Using the visualization may allow the users for the better absorb the data and see new paths.

This will enables the users to identify new patterns and the trends that were impossible to see using tabular data. So that, It allows decision-makers to view data, By using graphical representations like fever charts, charts, and heat maps.

4) Enhanced Collaboration: By Collaboration, It gives the team’s access to the strengths and skills of everyone who involved by combining the experiences of the entire group. Hence these skills are used to solve the problems faster and improve the innovation. Using this advanced visualizations makes it easier for the teams to collaborate, to consume the thousands of lines of data, they can use on visual representations and consolidate the data.

Why you should visualize big data Works on anything analytical areas, knows that we got to tap multiple sources of information to create a business case or report to persuade stakeholders to act, not act, or change course.

II. USING TIBCO SPOT FIRE PLATFORM Charting a Faster Course to Analytic Insights

Fig. 1: Charting a Faster Course to Analytic Insights

One of the greatest benefits of an enterprise-wide analytics platform is that it enables data analysts and scientists to work collaboratively and brainstorm on approaches for solving a company’s top challenges. Because of certain analytics for the platforms promote sharing and collaboration between the users, data analysts can manipulate and dig down on data and view the results for all to see. Using Data to Solve Problems Let’s say members of an analytics team for an electronics retailer are working on a business challenge together: Guided Analytics Guided Analytics applications are interactive analyses built using Spotfire DXP analysis workflow, which involves step-by-step procedures for solving particular analytical problems. Spotfire Guided Analytics TM will be configured by individuals in your organization – be they business users themselves or IT – to reflect your standard operating procedures and best practices. Spotfire DXP software streamlines and integrates the authoring, deploying and then the distribution.

Analysis Views and Workflows We can work with the tibco on one or several pages in the tibco Spotfire software. On each page, we can insert the one or many visualizations, and arrange those data’s as we like, we can arrange like capturing an analysis workflow. To set up the recommended workflows for the users, by using Spotfire software to create Guided Analyses. Hence the Described workflow in the Guided Analysis by using the links to both highlight known places of insight and to guide the users to perform the recommended steps, such as merging the additional data sources, custom algorithms, giving users cues on how to drill down into the data, asking and answering business questions and guiding users on what type of static report to generate, Guided Analyses are reusable redeployable, we can form the foundation of company-wide best practices, by allowing the many users across the organization to shares the power of analytic expertise previously reserved to a few.

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Big Data Visualization using Spot Fire Intelligent Tool to Uncover Insights for Better Decision Making (IJIRST/ Volume 3 / Issue 10/ 050)

Embedding Data in the Analysis There are several scenarios when embedding the data in the Guided Analysis makes sense, and Spotfire software allows you to efficiently embed static data in its analysis file format.

Fig. 2: Embedding Data in the Analysis

Transforming the Data The first step in the analysis is often meant to give the user to understanding that what's the data they were looking and make it possible to determine that whether the data is good enough to base decisions on. Not all the data will be ready to start interacting with it in the most productive way so it required some of the calculations or transformations Spotfire software contains a powerful tool called Calculated Columns, It can be used to generate the new columns based on logical expressions. All these operations are automatically re-applied to the next time the user loads data, and effectively creating the repeatable process.

Fig. 3: Transforming the Data

Strutting the Analysis Using Pages and Bookmark Panel

Fig. 4: Strutting the Analysis Using Pages and Bookmark Panel

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Big Data Visualization using Spot Fire Intelligent Tool to Uncover Insights for Better Decision Making (IJIRST/ Volume 3 / Issue 10/ 050)

Accessing Guided Analysis from the Library Once your analyses are published in the Library, We can immediately access them from the Web-based Spotfire Library interface.

Fig. 5: Accessing Guided Analysis from the Library

III. CONCLUSION So By Using This Tibco SpotFire tool we can reduce the time efficiency and also we can get desired result for the Reports REFERENCES [1] [2]

https://www.youtube.com/watch?v=KoUswm18ZfQ http://spotfire.tibco.com/blog/?cat=34

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