Data Visualization for Accelerated Business Intelligence in the Indian Health Care Sector using Tableau
Brijesh R. Sharma1, Sachin Deshmukh2
1Dr. Brijesh R. Sharma*, General Management and Analytics, VES Business School, Mumbai, India.
2Dr Sachin Deshmukh , Dean – PGDM Program Chair – Business Analytics, VES Business School, Mumbai, India.
Manuscript received on October 06, 2020. | Revised Manuscript received on October 25, 2020. | Manuscript published on November 30, 2020. | PP: 304-308 | Volume-9 Issue-4, November 2020. | Retrieval Number: 100.1/ijrte.D4979119420 | DOI: 10.35940/ijrte.D4979.119420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Purpose Big data analytics capability is the new source of competitive advantage. This is very axiomatic and it is also known that this capability covers the domain of descriptive, diagnostic, predictive and prescriptive analytics. Apart from the capability of managing data coming with high velocity, huge volume, and high variety the capability to analyze data with the same or more speed is a not only a hygiene factor but a compulsion for any organization. Ease of use of data visualizing tools which help in describing the data is driving the consumption of visualization tools and Tableau has taken a clear lead, and is witnessing mass adoption. The paper is a detailed account of creating a interactive visualization of heath care infrastructure data using Tableau Publix as a business intelligence tool. Methods: The Visualization is done on data taken from Open Government Data (OGD) Platform India. The paper is a demonstration of the use of visualization for exploration of data, generation of relevant questions and thereafter finding the right answers. Result: The papers explores the data and does the following through visualization 1. Maps the geography (Indian states) with total number of patients) 2. Maps the state name with segregated number of patients suffering from acute and chronic disease. 3. Maps the state name with segregated number of patients suffering from chronic disease. 4. Maps the state name with segregated number of patients suffering from acute disease. 5. Builds all the above in an interactive dashboard.
Keywords: Business Intelligence, Data Visualization, Health Care Analytics, , Interactive Dashboards, Tableau.