Cloud Business Intelligence for Smes Consortium

International Journal of Advanced Networking and Applications (IJANA), 2019

Using Business Intelligence in the cloud is considered a key factor for success in various fields in 2018, about 66 percent of successful organizations in BI already using cloud. 86% of Cloud BI adopters choose Amazon AWS as their first choice, 82% choose Microsoft Azure, 66% choose Google Cloud, and 36% identify IBM Bluemix as their preferred provider of cloud BI services. In recent years, both Business Intelligence and cloud computing have undergone dramatic changes and advancements. The newest capabilities that these recent developments bring forth are introduced. In this paper the latest technologies in the field of Cloud (SaaS) BI is introduced. The paper shows also that many of the current problems in Cloud (SaaS) BI can be solved by enhance the performance and increase the use and acceptance of this technology. Many of the key characteristics of Business Intelligence systems tend to complement those of cloud computing systems and vice versa. Therefore, when integrated properly, these two technologies can be made to strengthen each other's advantages and eliminate each other's weaknesses.

It was the time when in a particular sector there were only 2-3 companies and competition was not as stiff as today. Each of these was having its own niche product and niche market. Data with the companies was also of smaller size and easily manageable which could be easily analyzed to identify hidden trends in the business to make effective strategy. But now things are getting changed and with the liberalization and globalization more people started moving towards manufacturing and service sector. More and more Multi National Companies are coming up leading to tighter competition among domestic players in providing quality product and service in time. In this era of high competition where Adam Smith way of doing work has become obsolete, and companies are now looking for new ways of doing work, organizations have now started moving towards business intelligence tools to analyze their continuously growing data which is multiplying exponentially and here lies the significance of BI to explore the company's big data to tap right opportunity at right time at right place to provide right service to right people, then only can a business stay ahead in global competition. While it will be easier for companies to gather and analyze the data with the stress on BI efforts, the challenge and opportunity will not be limited around collection of big data but the ability to translate it into strategic business decisions and demonstrate the right return on investments. To ensure this Business intelligence needs to move at the speed of business.

Journal of Intelligence Studies in Business, 2017

According to research findings, small and medium enterprises (SMEs) are facingproblems such as an excessively large volume of data, lack of information and lack of knowledge. Therefore, in order to make decisions on time, the managers of SMEs use mainly their experience, which implies a high risk of failure. Business intelligence (BI) is a useful and helpful tool, which brings many advantages and benefits to businesses. However, like any technology,it is accompanied by some limitations that must be overcome in order to help businesses to develop. This paper summarizes current research findings addressing the issue of the development and application of business intelligence systems for SMEs. The issues addressed are models for the estimation of the readiness of a SME to establish BI tools, alternative BI solutions for SMEs, benefits and challenges of BI in SMEs, implementation methods for BIsystems in SMEs and finally, BI systems in cloud computing platforms. Research papers dealing ...

AJIT-e Online Academic Journal of Information Technology, 2021

In this study, business intelligence concept and architecture were explained from data sources to reporting with many advantages provided to institutions in the first part. Then, both cloud computing technology with its service and deployment models and the characteristics of cloud computing experienced clarified in the second part of the study. The relationship between cloud computing and business intelligence and the concept arisen from this collaboration, cloud business intelligence, were represented with its benefits and obstacles experienced by companies using this technology in the third part. Four service providers as alternatives serving cloud business intelligence solutions were selected and the criteria were determined according to the needs of the company, that would like to use a cloud business intelligence software. After all the criteria are prioritized and the alternatives are determined, the best software was chosen by using the Analytic Hierarchical Process software...

African Journal of Business Management, 2013

The paper proposes a new methodological approach to the organization and implementation of Business Intelligence in the SME sector. It is based on the assumption that SMEs do not have sufficient knowledge, skills and organizational, personnel and financial resources to make independent implementation of solutions of this class. On the other hand, such tools could have a significant impact on a growth of their competitiveness and strengthen their position in a competitive market. In this context, a new solution is proposed for design, implementation and deployment of the BI system, supporting the competitiveness management of SMEs.

Govinda Rajulu Lanke

This research paper aims to widen the current state-of-the-art techniques of New Management Models. In recent years, the appearance of new web tools, the exponential increase in open-source, remote collaboration software solutions, and the new social and labor paradigms, make necessary a deep review of the traditional management models. It becomes necessary to move to a new management model based on innovation, the information and communication technologies, and the software that supports these active-ties. While the PC and its applications were conceived to increase the individual productivity, the services and applications based in cloud computing enhance teamwork and collaboration, since they are based on a shared platform. The cloud-computing reveals itself as a proper tool to bring enterprises closer to each other, facilitating the collaboration between them, especially when considering the Small and Medium Enterprises.

Indian Journal of Science and Technology, 2015

Background/Objectives: Cloud technology is one of the trending acquisitions by IT industry and cloud organizations. Though it comes with numerous challenges and cost barriers, it is still considered to be an important source of commercial analytics. Methods/Statistical Analysis: Cloud combines itself with facets available in the organizations. Necessarily it doesn't seek for technical domains but matches with all available resources. Business Intelligences is a wonder source that enhances itself with cloud terminology and technical nuances of cloud resources. Response time and aspects of business intelligence solutions goes hand in hand. This paper gives a clear understanding and deep insights on mathematical indicators of Business Intelligence (BI) and its encounters with cloud lexicons. Findings: This study analyses the crucial challenges that accompanies cloud technology when utilized with Business Intelligence. Major contribution lies around the crucial uncertainties that overrule the opportunities in cloud computing. Mathematical analyses like return on investment and payback value methods which are used to determine the economic handouts and proportions towards the obtainable tenets are also deliberated in this work. Agility is measured in terms of the potential users that bypass cloud resources through business intelligence. The study also encompasses various Business Intelligence chauffeurs. Applications/ Improvements: The concept of BI can be well handled through cloud tools like CloudSim, CloudAnalyst and Aneka using different models of cloud. The results can be improvised with the capability of BI methods.

Discover Analytics

Small and medium-sized businesses (SMEs) typically steer clear of implementing business intelligence (BI) systems because they feel that this sort of modeling is complicated and costly. But the market for business intelligence (BI) has evolved quickly. New opportunities like cloud computing have greatly lowered prices and eventually made it possible to design integrated solutions that are only intended for SMEs. In addition to highlighting the research trends in the sector under investigation, this paper explores the function of business intelligence in enhancing the decision-making process and competitive advantage of SMEs. The research subject has been approached using bibliometric analysis using the R package. The display of the results was done with the aid of Biblioshiny and VOSviewer's bibliometric tools. The study highlighted that SMEs have started integrating Business Intelligence systems. However, a new business model that will combine business analytics and will ensure...

The requirements for Business Intelligence (BI) and reporting instruments are increasing since many years. Reporting instruments must be proactive, integrated, flexible and always available. They have to offer self-service functions and deal with the growing amount of data. In view of these requirements, the characteristics of cloud computing show a revolutionary character. First 'BI Cloud' offers are already available on the market. However, the lack of a standardized architecture as well as the lack of understanding of the features and advantages of analytical applications in the cloud causes that currently only a few companies use BI in the Cloud. To support the standardization and development of analytical applications delivered as a cloud service the University of Anonymous designed a reference model for BI in the Cloud in an ongoing research project. From this research project this position paper reports: The topics cloud computing and BI are merged, the resulting benefit of BI in the cloud is shown and our ap-proach for standardization is presented.

As cloud computing becomes more prevalent, information technology (IT) groups large and small are looking for guidance as to how they can leverage this new resource. This article specifically focuses in on the field of business intelligence (BI) and works to provide a framework for evaluating and moving out of a traditional in-house hosted BI environment to one hosted within the cloud.