Business intelligence software as a service (SAAS)

Author(s):  
Shimaa Ouf ◽  
Mona Nasr ◽  
Mohamed Amr ◽  
Mohamed Mosaad ◽  
Khaled Kamal ◽  
...  
Author(s):  
Volker Herwig ◽  
Kristof Friess

Business Intelligence (BI) solutions are among the popular applications that businesses demand in the Cloud. Although Business Intelligence functionality is already provided in the Cloud, vendors concentrate on providing existing products like Software as a Service, ignoring changing business and provisioning models of software. Business Intelligence functionality provided in the Cloud is lacking important integration features needed by other Cloud-based applications. While a simple upload of the data to be analyzed into a Cloud-based BI solution is already possible and well established, the visualization of the results and the interactive parts of the analysis are always provided inside the Cloud-based BI solution itself. However, as this chapter shows, common usage scenarios of integrated Cloud applications demand an integration of the analysis reports from BI applications into the user interface of other Cloud-based applications. This chapter describes how a fully integrated Cloud-based BI solution can collaborate with other Cloud-based applications. The technical concept illustrated with an example delineates how the required interface can be provided.


2010 ◽  
Vol 12 (1) ◽  
Author(s):  
Willem J.J. Thompson ◽  
Jakobus S. Van der Walt

Cloud computing has become an important topic to research because of the value it can provide to the business. In this article, the researcher examined how Business Intelligence (BI) can be offered to the business over the Internet as a solution. BI environments, however, require a large capital layout to implement and support the large volumes of data that needs to be analysed to identify trends. It also requires enormous processing power which places pressure on the business resources. The goal of this article is to show how BI will be offered as a Software as a Service (SaaS) solution to the business. The BI SaaS solution will allow companies to reduce cost of having a BI solution and also having access to the latest software which will give the business an edge on their competition. By making use of a literature review the researcher were able gather and present evidence to support the value that the BI SaaS solution will add to the business and how such a BI SaaS solution will look like. As part of this research paper the researcher will also identify the challenges that the business will face when making us a BI SaaS solution.


2012 ◽  
Vol 3 (3) ◽  
pp. 413-418
Author(s):  
Logica Banica ◽  
Daniela Pirvu ◽  
Cristian Stefan

The focus area of this paper is twofold: covering the theoretical background about cloud-based Business Intelligence, and the practical approach using the Jaspersoft environment. Also, by choosing the main application area, we emphasized the advantage of using such instruments as an educational tool, with the goal of giving the students an opportunity to discover data collections and explore analysis methods. After an overview of the Business Intelligence and Cloud Computing main concepts, we have pointed out the benefits of using BI in the Software as a Service (SaaS) philosophy, and we used the facilities of Jaspersoft BI software to model frequently used analysis requirements on several virtual firms


Ekonomika ◽  
2012 ◽  
Vol 91 (3) ◽  
pp. 147-157 ◽  
Author(s):  
Gintarė Vizgaitytė ◽  
Skyrius. Rimvydas

The concept of business intelligence has drawn substantial attention of both academicians and practitioners. As one of the fastest eveloping business application areas, business intelligence has also created a trail of confusion regarding its role, potential, sources of value creation. This study aimed at elucidating the role of business intelligence in the near future through the analysis of the current research and practical trends. The current prevailing trends in business intelligence technologies and systems are mobile business intelligence, location intelligence, software as a service, big data and predictive analytics. The paper points out that human factors in business intelligence are often underestimated, while a thorough consideration of their role should create additional ground for effective business intelligence applications. Some of the important considerations regarding human factors, such as support of problem-solving patterns and an efficient coordination of business intelligence activities, are presented.


2014 ◽  
Vol 2 (2) ◽  
Author(s):  
I Gede Adnyana

Persaingan bisnis yang ketat, mendorong setiap perusahaan menyusun strategi bisnis agar dapat bertahan dari para pesaing. Penyusunan strategi bisnis mutlak memerlukan informasi yang tepat dan akurat, pengolahan hingga analisis data yang menghasilkan informasi yang tepat dan akurat menjadi proses yang sangat penting. Business Intelligence (BI) menawarkan solusi bisnis untuk menganalisis data dan memungkinkan suatu perusahaan untuk mengambil keputusan untuk meningkatkan keuntungan dan kinerja bisnis. Namun, BI mahal untuk diimplementasikan, memerlukan biaya pemeliharaan yang tidak sedikit dan infrastruktur yang kuat. Hal ini mendorong perusahaan mengurangi biaya tetapi masih memiliki teknologi yang tepat untuk memungkinkan mereka untuk membuat keputusan, mengidentifikasi peluang dan proaktif mengidentifikasi risiko yang dapat mempengaruhi bisnis. Konsep Software as a Service (SaaS) Cloud Computing dapat menjawab tantangan yang dihadapi BI. Sebelum merancang BI berbasis SaaS perlu diketahui parameter-parameter evaluasi hingga kelebihan dan kekurangannya.


2016 ◽  
pp. 572-585 ◽  
Author(s):  
Volker Herwig ◽  
Kristof Friess

Business Intelligence (BI) solutions are among the popular applications that businesses demand in the Cloud. Although Business Intelligence functionality is already provided in the Cloud, vendors concentrate on providing existing products like Software as a Service, ignoring changing business and provisioning models of software. Business Intelligence functionality provided in the Cloud is lacking important integration features needed by other Cloud-based applications. While a simple upload of the data to be analyzed into a Cloud-based BI solution is already possible and well established, the visualization of the results and the interactive parts of the analysis are always provided inside the Cloud-based BI solution itself. However, as this chapter shows, common usage scenarios of integrated Cloud applications demand an integration of the analysis reports from BI applications into the user interface of other Cloud-based applications. This chapter describes how a fully integrated Cloud-based BI solution can collaborate with other Cloud-based applications. The technical concept illustrated with an example delineates how the required interface can be provided.


Author(s):  
Moez Essaidi ◽  
Aomar Osmani

In recent years, the data warehousing infrastructures have undergone many changes in various aspects. This is usually due to many factors: the emergence of Software-as-a-Service (SaaS) architecture model; the success of agile and iterative Data Warehouse (DW) development approaches; the introduction of new approaches based on the Model Driven Architecture (MDA); the changing needs of organizations and the extension of the DW into new application areas; and the evolving of standards and open-source technologies. This chapter explores several aspects that may influence the next-generation of data warehousing platforms: the architectural aspects for business intelligence-as-a-service deployment, the promising open industry standards and technologies recommended for use, and the emerging methodological aspects for DW components engineering.


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