Business Intelligence ( Bi ) Is A Technology Based Procedure For Analysing Data And Giving Decision Based Information Essay

Information – business intelligence – is no longer the exclusive domain of IT or research departments. From marketing and finance to management and operations, intelligence is applied strategically throughout the enterprise. And professionals who know how to gather and leverage it are the ones who will lead organizations, control decisions, and be relied upon to steer their companies.

Business Intelligence: Business intelligence is a program that coordinates the best combinations of data in sales to achieve maximum profits.

Business intelligence (BI) merges architectures, tools, databases, analytical tools, applications, and methodologies. It also is context free like DSS. BI deduces the connections between business entities by evaluating copious volumes of historical data which supports decisions. BI has four major components consisting of a data warehouse, business analytics, business performance management, and a user interface.

Business Intelligence (BI) is the consolidation and analysis of internal data and / or external data for the purpose of effective decision-making. At the core of all BI initiatives is a data warehouse to hold the data and analytics software. The data warehouse stores data from operational systems in the organization and restructures it to enable queries and models to extract decision support reports.

Companies are adopting business intelligence system within their organizations because by using the system reports they can gain the advantages of understanding their internal strength and weaknesses to face external competitors and challenges to increase profits and reduce cost on their everyday operations and processes.

Business intelligence is a collection of theories, procedures, and arrangements that turn raw data into meaningful and applicable information for business objectives. Business Intelligence can handle vast amounts of unstructured, semi-structured as well as structured data to help recognize, develop and generate new opportunities. In a simple phrase, business intelligence makes interpreting voluminous data amiable. Exploiting new opportunities and carrying out effective strategies can provide a competitive market advantage and long-term stability.

Business Intelligence (BI) makes use of methods, processes, and technologies that help organizations to collect, store, report, and analyze business data for purposes of facilitating decision making. Institutions of higher learning are going through ab period of transformation as they become digitalized to make them competitive like other organizations. There is need to adopt technologies to improve the quality and efficiency of delivering study processes and enhancing the experience of students. Furthermore, learning institutions need to attract and retain students to sustain higher graduation rates (Deng, & Chi, 2012). Thus, business intelligence can help the management of higher education

Business intelligence (BI) is defined as the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI has been around long before computers and access to the internet. For example, an old ship building yard would have to keep track of its various transactions, employees, profit, suppliers, materials, etc. The shipyard owner would then turn this collected raw data into useful information in order to figure out where the company is going wrong and where it can improve. If the suppliers have not shipped on time for weeks the shipyard would know to find more reliable suppliers - this is a very simple example of utilizing business intelligence. In

when required. At the end of the report, useful recommendations are also made which can be

All great organizations share one thing in common, the use of business intelligence. Business intelligence (BI) provides tools that revolutionize the way organizations manage business and decision-making. It allows them to transform mass amounts of raw data into reliable information necessary to make important business decisions. BI delivers relevant and reliable information to those who seek it with the goal of achieving better decisions faster. An employee is independently able to navigate through a company’s data and find what he or she needs without relying on others. This means an organization no longer needs to dig through compiled webs of linked spreadsheets, analyze the data manually and mash together reports. Instead, employees can use BI systems to request the specific information that is useful for them (Hitachi Solutions Canada, 2014). BI allows managers to reach the most accurate and contemporaneous information an organization’s database cannot retrieve. The software offers applications for both data analysis and presentation of results. Applications such as data mining and decision support systems allow one to contemplate how he or she wants to analyze the data. Data mining refers to the process of searching for valuable business information in a large database, data warehouse, or data mart. Decision support systems combine models and data in an attempt to analyze semi structured and some unstructured problems with

it is not an easy task to implement a BI successfully. It takes time and effort for an organization

Business intelligence (BI) and business analytics (BA) (sometimes used interchangeably) has revolutionized the way businesses use data and can be contrasted, for the purpose of this essay, in the following way: BI is raw data that has been transformed into meaningful information that provides historical, current, and predictive views of business operations and environment, and BA uses data and statistical methods to provide actionable information for decision makers. BI explains what is happening, identifies the issue, and provides decisions to be made and BA explains why an issue is occurring, what will occur, and what actions need to be taken. At the forefront of BI/BA technology is International Business Machines (IBM) with a very broad array of related products and services. Among the more popular products are its flagship analytics product IBM Cognos and its Predictive Customer Analytics. IBM’s Cognos Analytics allows business and IT professionals to prepare and distribute all types of business reports from all departments with an organization and access pertinent information such as financial reports, sales trends, production yields, and inventory on any device on an hourly basis. IBM also offers a Predictive Customer Intelligence solution, an integrated software which uses automation to acquire customer information such as buying behavior, web activity, and social media presence to model and “score” costumer behavior and provide customized actions so that a business

The principle target of this paper is to distinguish the success factors of business intelligence system in small and medium enterprises. The characteristics of business intelligence system are a structure of this paper with how business intelligence leads to having competitive advantages. This paper distinguishes the term business intelligence, and the characteristics, and the competitve advantages for the firms. An organization trying to make focal point in order to comprehend the information that is produced in the execution of their business. Business intelligence can be an essential system to allow small medium enterprises to take vantage so from the data that are accessible. Thus, business intelligence systems can help the firms to

Business Intelligence can be considered as a technology-driven process used for fetching useful and meaningful

In my opinion the Business Intelligence means the procedure of taking substantial and also mixing of Knowledge, Data analysis, Technology that which may runs business opinions and views to reach their requirements that which leads to get a solution that which is Enterprise’s Growth and success