Therefore, virtualization enables enterprises to lessen Information Technology costs while increasing utilization, flexibility, and efficiency of the current computer hardware. While virtualization is the software that controls hardware, cloud computing basically refers to a service that is brought by that control or manipulation (Angeles, 2014)
Actually, the model entails sharing resources on a huge scale through a value effective and location independent process. While the resources on the cloud are deployed by the seller, they are utilized by the consumer (Belamkar, 2014)
Business organizations have experienced and will continue to undergo various system losses in this cloud computing era because of the inherent risks associated with deploying the process in an enterprise infrastructure. The numerous system losses continue to have considerable effects on organizations' most valuable information and asset (Bisong & Rahman, 2011, p
The outsourcing makes it difficult for enterprises to maintain data integrity and privacy, show compliance, and sustain the availability of data and service. Security challenges and concerns are associated with risk areas including lack of control, reliance on public Internet, external data storage, and amalgamation with internal security (Hashizume, Rosado, Fernandez-Medina & Fernandez, 2013)
Most of these challenges were initially attributed to the fact that the concept was at its infancy stage. However, cloud computing has matured today from an operational perspective with regards to the delivery of strategic and tactical value expected (Hill, Hirsch, Lake & Moshiri, 2012, p
This trend is fueled by the maturity of the concept from a promising business model to one of the rapidly growing segments of the Information Technology business. Some of the major benefits that make cloud computing an attractive model include optimization of a business' capital investment, simplicity and quickness of operations and use, and enabling an enterprise to tap into a talent pool (Mahmood & Hill, 2011, p
Enhanced Enterprise Infrastructure: The improvement of enterprise infrastructure is also an available solution to the major challenges in cloud computing. Enterprises need to develop infrastructure that promotes installation and design of hardware and software components (Tiwari & Mishra, 2012, p
This could help with efficiency and reduce the need for a data center, but it is not without its concerns and difficulties. The 25 Point Implementation Plan to Reform Federal Information Technology (Kundra, 2010) institutes a "Cloud First" policy to help accelerate and standardize the adoption of cloud computing solutions across the U
On-site field technician could upload and modify configuration files without disturbing other units. Thirdly, AWS platform enabled Ericson adaptable to various network (Kim and Bahn, 2013, pp
In this regard, companies and organizations must take this concern seriously if they are to avoid brand damage and maintain their productivity levels. The most vulnerable cases of insider threats in cloud computing are the IaaS, PaaS and SaaS platforms of operation (Bernard, 2011)
Worth noting is the fact that cloud computing offers several risk factors, some of which are because of insider conspiracy. This section integrates what has been researched in the past regarding this issue and the various possibilities of averting these threats within the cloud computing environment to make it a worthwhile venture for organizations (Himmel, 2012)
In many instances, insiders with ulterior motives will take advantage of customers' lack of knowledge regarding provider policies and procedures to execute their mischievous acts. On several occasions, transparency has not existed regarding policy compliance and employee monitoring among other mandatory policies (Letort, 2012)
Several scholars have come up with concepts and ideas that are significant in addressing of the challenge of insider threats within the cloud computing environment. Before the adoption of cloud computing as a mode of operation in a business environment, it is important for any given organization to be well versed with a number of facts regarding the same (Omondi, 2012)
Many business enterprises have a major challenge in determining the best platform on which to conduct their businesses because there are many on offers. One of the chief concerns addressed in these platforms is that of security (ThankGod, 2012)
Consequently, these are the individuals chiefly concerned with the management of data and information and the organization's sensitive resources. In the event of fallout in the relationship between the company's employees and the management, it is possible for administrators to use malicious means, leaking out privileged information, putting the organization at stake (Wayne, 2012)
Many are worried about their sensitive data being stored and maintained by a third party. Data protection is one of the major security concerns held by companies today (Tyson, 2012)
Cloud Computing Business Intelligence - Cloud Computing The emerging area of social marketing analytics which is today delivered on the Software-as-a-Service (SaaS) or cloud platform (Lawrence, Melville, Perlich, Sindhwani, Meliksetian, Hsueh & Liu, 2010) is used for interpreting and analyzing all messages on social networks relating to a company or product (Raab, 2010)
The use of advanced unstructured content management techniques and systems including latent semantic indexing (LSI), semantic analysis, sentiment analysis are all used for interpreting and organizing unstructured content into models that can be used in decision-making (Tyagi, 2010). This new area of social marketing analytics for the first time gives companies the ability to quickly parse through unstructured content both internally and externally and gain new insights into how customers perceive their products and services (Tsai, 2009)
Evaluating Social Marketing BI Software The intent of using social marketing analytics software is to gain greater insights into the unstructured content that is growing exponentially on social networks. The use of advanced unstructured content management techniques and systems including latent semantic indexing (LSI), semantic analysis, sentiment analysis are all used for interpreting and organizing unstructured content into models that can be used in decision-making (Tyagi, 2010)
thus, customary software merchant's financing in software reliant upon bloated customers has ended up being a hindrance (ordering progressing underpin), opening the entryway for late software experts offering a client meet recognized as added sophisticated" (Barret, 2010). The standardization of the mesh stack (HTML, JavaScript, CSS, HTTP), the building notoriety of mesh infrastructure as a drill, and the presentation and universality of snare provision skeletons like Ruby on Rails relentlessly weakened the price of advancing unique SaaS outcomes, and empowered revamped key suppliers to concoct strong answers, checking accepted specialists (Anderson, 2011)