Cloud Business Intelligence 1
Cloud Business Intelligence
A Research Project
Submitted as part of Final exam for BMGT531
BMGT 531, Business Intelligence
Spring 2012, Section 1260
Professor Paul Jaikaran
University of Northern Virginia
Cloud Business Intelligence 2
The term Business Intelligence was coined by Hans Peter Luhn of IBM wherein he describes the Business Intelligences as ability to find the interrelationships among the available data and guide the set of actions to reach the desired goal.
What all an organization needs to be a leader in the market is information. Information can be available in large forms like web resources, text data, graphs and statistics. The more information a firm has the more powerful it is getting on. Firms need to assess the future market condition with the available previous and present data so as to be a leader. The major goal of Business Intelligence is to dwell in all the available information, refine it and organize it in such a way that right information is passed to right people through the right way. Now, data can be in vast amounts, of which some might be useful and some might not be useful. Business intelligence tools like reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics help the firms in sorting out the useful data.
Business intelligence systems help the firms in taking decisions based up on the dwelled data. Thereof Business Intelligence Systems can also be called as Decision Support Systems. Business Intelligence uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes and disseminates information with a topical focus on company competitors. Business intelligence understood broadly can include the subset of competitive intelligence.
Cloud Business Intelligence 3
Summarizing, Business Intelligence can be termed as a set of methods which are used to refine and organize the available raw data into meaningful information thereafter helping the firms in making decisions based on that data.
Cloud in general is a collection of dust, vapor and air, which at a condensed state gives out rain. It’s a mixture of heterogeneous components but gives out an end product. Cloud in Computing is the ability to share the information and data among the heterogeneous platforms of the devices and seeing that all the devices are in sync. The name comes after the cloud type of structure used to represent its architecture.
The need behind the emerging of the cloud computing is, not every company can afford to have vast servers and can maintain large databases, but every company will need large databases and need to be available on serves. So a new type of industry was born where in servers and soft wares sometimes are maintained by them and whoever in need could use them thus naming it as cloud computing industry.
Cloud computing has got three types of services in it. They are 1) Infrastructure as Service: In here the users can rent as many Infrastructures as need by their firm.
2) Platform as a Service : In here the users can rent as many severs in the desired platform as they need and can use for their firms
3) Software as a Service: In here the users can get as many soft wares as they need during the rental period and need not install but can run on their own terminals.
Cloud Business Intelligence 4
The advantage of cloud computing is without installing all the need items you can use them by renting.
Cloud Business Intelligence:
Cloud BI represents a way for reporting and analysis solutions to be developed, installed, and consumed more easily due to its lower cost and easier deployment. Ideally, a cloud-based business intelligence platform makes use...
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Nelson, Greg (2010). "Business Intelligence 2.0: Are we there yet?” SAS Global Forum
Seely Brown, John (2006)
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