Application of Seasonal Analytics in HealthCare Sector

  • Shrikant H. KoppadEmail author
  • S. Anupama Kumar
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 26)


Healthcare organization generate huge amount of structured and unstructured data by its different stakeholders. It is challenging to design and integrate data from heterogeneous sources in a meaningful form, manipulate the data according to the business requirement, flush out unwanted data from the warehouse and generate reports from data. Analytical tools provide solution for most of forecasting problems at finger tips by using different types of analytical methods such as predictive, descriptive, diagnostic and perspective which can be used to increase the functionality of the organization. This research work provides the simulation model which provides insight for healthcare organizations to increase revenue with available resource by implementing seasonal analytics and take administrative decisions to help the stakeholders. The analytics also support to find the efficient doctor and most vital patient so that special care can be taken in treatment.


Healthcare Seasonal analytics Big data analytics Gross revenue Patient care 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of MCARashtreeya Vidyalaya College of EngineeringBengaluruIndia

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