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DATA ANALYTICS SERVICES KITS FOR CONVERTING HEALTHCARE DATA INTO ACTIONABLE INSIGHTS – SCIENCESOFT A CASE STUDY

Authors: Geetha Poornima K; Krishna Prasad K;

DATA ANALYTICS SERVICES KITS FOR CONVERTING HEALTHCARE DATA INTO ACTIONABLE INSIGHTS – SCIENCESOFT A CASE STUDY

Abstract

Big Data Analytics in many fields has brought revolutionary changes. The areas of application such as banking, education, manufacturing, farming, government, transport, media and entertainment are the ones that make extensive use of Big Data Analytics. Healthcare is the one due to Big Data Analytics that has experienced drastic changes. Due to the positive effects of big data, risky jobs like diagnosis, reporting, CRM, predicting the deceases, tracking medical records have become much easier these days. ScienceSoft is an IT company providing information technology services in emerging areas such as CRM, Data Analytics, Collaboration, Knowledge Management, Information Security, etc. ScienceSoft's headquarters is located in McKinney, USA. Organizations such as IBM, Microsoft, Oracle, etc. are collaborating with ScienceSoft due to the reliable and high-quality services provided. This paper attempts to give a broader outlook of Big Data, analyzes the company's business models for handling Big Data Analytics related projects, particularly in the healthcare sector. This paper also contains information related to the challenges of analyzing Big Data, the Company's technologies and tools used in the development of Big Data Analytics projects and how Big Data is converted into useful information to deliver better results in different healthcare related fields.

Keywords

ScienceSoft, Big Data, Data Analytics, CRM, Healthcare Data, EHR, Data Analyzing Tools.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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