An Analysis of Business Intelligence Systems

As we discuss the possibility of emerging into business intelligence software we must keep in mind the overall purpose of using any type of software is to reach strategic goals in order to increase market shares. I will discuss how business intelligence software will allow us to meet those strategic goals. We will establish what type of information and analysis capabilities will be available once this business intelligence software is implemented. We will discuss hardware and system software that will be required to run specific business intelligence software. Lastly, I will give a brief synopsis on three vendors (IBM, Microsoft Microsoft and Oracle) that are dominating the business information software

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.

As we discuss the possibility of emerging into business intelligence software we must keep in mind the overall purpose of using any type of software is to reach strategic goals in order to increase market shares. I will discuss how business intelligence software will allow us to meet those strategic goals. We will establish what type of information and analysis capabilities will be available once this business intelligence software is implemented. We will discuss hardware and system software that will be required to run specific business intelligence software. Lastly, I will give a brief synopsis on three vendors (IBM, Microsoft Microsoft and Oracle) that are dominating the business information software industry today.

Twila Day left the meeting excited, but also a little nervous. Her Technology and Applications Group had just been given approval by the Director’s Council of SYSCO to proceed with a company- wide deployment of business intelligence (BI) software. The effort was intended to help SYSCO, the largest food distributor in North America, make better use of the information generated by its operations and serve its customers better. The Director’s Council, a group of senior managers with substantial power and influence, had been impressed enough by the results of a

Three types of business intelligence (BI) exist, according to the general consensus of the IT industry: strategic, tactical and operational. Strategic BI and tactical BI are typically used in combination by senior managers and business analysts to

Business intelligence involves techniques based on computers that are used in the identification, extraction, as well as the analysis of business data(Electrosmart Ltd). The business data in this case could be revenue from sales made from given products, could also be sales that a given department has made, or

A data warehouse and business intelligence application was created as part of the Orion Sword Group project providing business intelligence to order and supply chain management to users. I worked as part of a group of four students to implement a solution. This report reflects on the process undertaken to design and implement the solution as well as my experience and positive learning outcome.

Summit’s old legacy systems used separate systems for orders and financials, so the data could not be easily combined for business intelligence reporting and analysis. In 2010, Summit implemented SAP’s NetWeaver BW data warehouse and business intelligence solution to make better use of the data in its ERP system. These tools have helped the company evaluate the profitability of its sales channels, using what-if scenarios. For instance, Summit is now able to analyse profitability by sales person, manufacturer, customer or branch. business intelligence findings have encouraged Summit to focus more attention to areas such as sales order quotations and to supplier performance and delivery times. Management has much greater visibility into how the organisation is operating and is able to make better decisions.

To aid financial and performance reporting in the company, its objectives also include achieving a harmonious user adoption of the Business Intelligence technology across all departments within the firm. IT department also aims to support and maintain the IT operations including software installations, network security, and telecommunications. Another major IT objective is to build a formal assessment process for company’s overall information management requirements, which will help in leveraging parent company’s IT resources. All these IT objectives align with and in turn, will help achieve the business objective of seamless integration.

Traditionally, business intelligence (BI) has been used as an umbrella term to describe the concepts and methods to improve business decision making by using fact-based decision support systems. BI also includes the underlying architectures, tools, databases, applications, and methodologies. BI’s major objectives are to enable interactive and easy access to diverse data, enable manipulation and transformation of these data, and provide business managers and analysts the ability to conduct appropriate analyses and perform the actions [Turban et al. 2008; Wixom et al. 2011]. Successful BI initiatives have been reported for major industries, from healthcare and airlines, to major IT and telecommunication firms [Anderson-Lehman et al. 2004; Carte et al. 2005; Turban et al. 2008].

Business intelligence goes in hand with other organization application areas like data mining and data warehousing.

Business Intelligence is all about decision making with a data driven approach. It is a broader term and a super set containing tools, architectures, technologies and techniques that leverage insights from data (various problems or business processes) for analysis, querying, reporting and performance improvement. It is based on measuring or analyzing the historical data and past performance for driving insight and answers to questions like “What occurred?”, “How frequently is occurred?” and “Its impact?”. It includes processes and techniques for data collection, data analysis, data sharing, and reporting using dashboards, illustrative reports and interactive visualizations that laymen understand, all in the service better data driven decision making.

Business intelligence goes in hand with other organization application areas like data mining and data warehousing.

Analytics and business intelligence (BI) are not new concepts in the market place, but the exponential growth of offerings, lower total cost of ownership (TCO), and simplified deployment options have made these solutions a necessity for modern businesses. Some customers continue to use a comprehensive stack of a database, extract-transfer-load (ETL) tools, an analytics engine, and a reporting interface from a single vendor, placing much of the burden on IT to keep operations running and produce reports. However, many businesses are finding success with a different model based on smaller-scale deployments of self-service or embedded analytics and data discovery tools directly to end users.

Business Intelligence is a computer-based system which is used by organizations for decision making purpose. In the United States, 500 enterprises which have more than 90% of enterprises use business intelligence software to help managers make decisions. In this report essay, we talk about the back ground of business intelligence first, and then defined business intelligence from different aspects, which are technology, application and data. In the part