Faculty Opinions recommendation of Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations.

The amount of healthcare data continues to exponentially grow everyday. The complexity of this data further limits the analytical capabilities of traditional healthcare systems. With value-based care, it is far more imminent for healthcare organizations to control the costs and to improve the quality of care in order to sustain their business. The purpose of the chapter is to gain insights into complexities and challenges that exist in current healthcare systems and how big data analytics and IoT can play a pivotal role to positively influence the quality of care and patient outcomes. The chapter also provides solutions and strategies for building cloud-based data asset that can deliver rich data analytics to both the healthcare systems and the patients.

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Processes, Potential Benefits, and Limitations of Big Data Analytics: A Case Analysis of 311 Data from City of Miami

20th Annual International Conference on Digital Government Research on - dg.o 2019 ◽

10.1145/3325112.3325212 ◽

2019 ◽

Author(s):

Loni Hagen ◽

Hye Seon Yi ◽

Siana Pietri ◽

Thomas E. Keller

Keyword(s):

Big Data ◽

Data Analytics ◽

Big Data Analytics ◽

Case Analysis ◽

Potential Benefits

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BIG DATA ANALYTICS IN BANKING AND FINANCIAL SERVICES SECTOR

EPRA International Journal of Research & Development (IJRD) ◽

10.36713/epra6558 ◽

2020 ◽

pp. 92-96

Author(s):

Dr.P.V. Mohini ◽

Mr. Rohit Kumar Srivastav

Keyword(s):

Big Data ◽

Financial Services ◽

Data Analytics ◽

Big Data Analytics ◽

Big Data Analysis ◽

Valuable Data ◽

Services Sector ◽

Financial Services Sector ◽

The People ◽

Potential Benefits

‘He who holds the wealth of information, holds the solution to the toughest of the situations’ this quote is very much apt for the recent ongoing scenario, where there is an invisible struggle going on among the organizations as well as nations in the search for more and more information. Now, when the Banking and Financial services sectors are put under the scanner, it becomes evident that they are sitting on top of a humungous heap of valuable data. This data can be used for the betterment and advancement of the industry as well as the people. While it is good to have large amount of data available, it will be termed a big pile of trash if it is not analyzed properly and the results obtained from it are not put to use. With the adoption of Big Data analytics into the banking and financial services, many obvious as well as concealed problems can be addressed to and even solved quickly. The main objective of this paper is to highlight the meaning of Big Data analysis, study the types of data analytics with respect to Banking and Financial services sector and to showcase the potential benefits of embracing Big Data analytics into the Banking & Financial services sector. KEYWORDS: Information, Banking and Financial services, Advancement, Big Data, Data Analytics

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The Strengths, Weaknesses, Opportunities, and Threats Analysis of Big Data Analytics in Healthcare

10.4018/978-1-6684-3662-2.ch082 ◽

2022 ◽

pp. 1703-1718

Author(s):

Chaojie Wang

Keyword(s):

Big Data ◽

Data Analytics ◽

Success Factors ◽

Swot Analysis ◽

Big Data Analytics ◽

Clear Understanding ◽

Healthcare Organizations ◽

Effective Use ◽

The Cost

Improving the performance and reducing the cost of healthcare have been a great concern and a huge challenge for healthcare organizations and governments at every level in the US. Measures taken have included laws, regulations, policies, and initiatives that aim to improve quality of care, reduce costs of care, and increase access to care. Central to these measures is the meaningful and effective use of Big Data analytics. To reap the benefits of big data analytics and align expectations with results, researchers, practitioners, and policymakers must have a clear understanding of the unique circumstances of healthcare including the strengths, weaknesses, opportunities, and threats (SWOT) associated with the use of this emerging technology. Through descriptive SWOT analysis, this article helps healthcare stakeholders gain awareness of both success factors and issues, pitfalls, and barriers in the adoption of big data analytics in healthcare.

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