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Challenges in Implementation of Cloud Analytics

Journal: IPASJ International Journal of Information Technology (IIJIT) (Vol.4, No. 6)

Publication Date:

Authors : ; ;

Page : 7-15

Keywords : Keywords: Data analytics; business intelligence; cloud analytics; reference architecture; SaaS BI;

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ABSTRACT Proliferation of technology, data warehouses, social media, audio-video streams, blogs and tweets is responsible for the generation of huge volume and variety of data. Converting these huge datasets into business intelligence by correlating, synthesizing and aggregating useful insights from them is the prime process of analytics solutions. With the data and applications being migrated to cloud for convenience and cost saving, analytic solutions also follows the path. Cloud analytics enable organizations to move business intelligence, data warehouse operations and Online Analytical Processing (OLAP) to cloud. Scalability, flexibility, fast delivery of analytics solution, ubiquitous access, limitless compute and storage are the benefits of cloud analytics inclusion. Data management, security, integration, compliance issues, poor software architecture and design are some of the issues that prevail with cloud inclusion for analytics solution. Adoption of hybrid or mutli-cloud approach depending on the sensitivity of the data and drafting strategies to identify the scope of analytics applications will help to reduce the demerits of cloud analytics. This paper outlines the challenges of cloud analytics adoption in the perspective of organization, provider and governance along with suggested solutions.

Last modified: 2016-07-05 19:55:54