Impacts and Challenges of Cloud Business Intelligence

Shadi Aljawarneh (Jordan University of Science and Technology, Jordan) and Manisha Malhotra (Chandigarh University, India)

Indexed In: SCOPUS

Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9781799850403

ISBN13 Softcover: 9781799854470

EISBN13: 9781799850410

DOI: 10.4018/978-1-7998-5040-3

Description:

Cloud computing provides an easier alternative for starting an IT-based business organization that requires much less of an initial investment. Cloud computing offers a significant edge of traditional computing with big data being continuously transferred to the cloud. For extraction of relevant data, cloud business intelligence must be utilized. Cloud-based tools, such as customer relationship management (CRM), Salesforce, and Dropbox are increasingly being integrated by enterprises looking to increase their agility and efficiency.

Impacts and Challenges of Cloud Business Intelligence is a cutting-edge scholarly resource that provides comprehensive research on business intelligence in cloud computing and explores its applications in conjunction with other tools. Highlighting a wide range of topics including swarm intelligence, algorithms, and cloud analytics, this book is essential for entrepreneurs, IT professionals, managers, business professionals, practitioners, researchers, academicians, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Algorithms
Analysis
Big Data
Business Analytics
Cloud Analytics
Hybrid Cloud Infrastructure
Knowledge Management
Optimization
Security
Swarm Intelligence

Search this Book:

Reset

Indexing

Shadi Aljawarneh is a professor of Software Engineering, at Jordan University of Science and Technology. His research is centered in web and network security, e-learning, bioinformatics, Cloud Computing and ICT fields. Aljawarneh has presented at and been on the organizing committees for a number of international conferences and is a board member of the International Community for ACM, Jordan ACM Chapter, ACS, and others. A number of his papers have been selected as "Best Papers" in conferences and journals.

Dr. Manisha Malhotra working as an Associate Professor in University Institute of Computing, Chandigarh University, India. She has credible records of various degrees like Ph.D (Computer Science & Applications), MCA (With Distinction), BSC (Computer Science). She has published more than 20 research papers in various National / International Conferences, International Journal having indexed with Sci, Elsevier, Scopus, ACM. Dr. Malhotra is a member of various professional bodies like IEEE, CSI, IAENG. She is also a member of editorial boards of various journals. She has been awarded as Young Faculty in the field of Cloud Computing. Dr. Malhotra's research areas include Cloud Computing, Agent Technology, and Information Retrieval.

All IGI Global Scientific Publishing content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global Scientific Publishing published content is available in the IGI Global Scientific Publishing InfoSci® platform.

We are committed to continually improving our platform to meet WCAG standards. We have used automated scans as well as manual review to identify and resolve compatibility issues. Our goal is to ensure all of our content is easily accessible to all users.

Current Accessibility Implementations
Screen reader compatible web pages with properly labeled elements.
Text alternatives for non-text content so it can be changed into large print, braille, speech, symbols, or simpler language.
User interface can be navigated using only a keyboard - no keyboard traps.
Consistent navigation on all web pages.
Meaningful section heading are used to organize content in a logical manner.
Logical focus order of elements on each web page.
No web pages contain any flashing, or design elements that are known to cause seizures or physical reactions.
Text has high contrast, with a contrast ratio of at least 4.5:1.
Responsive design, with text that can be resized without loss of content or functionality.

Learn More

Related Books