Business Intelligence Software

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: 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.

The benefits would be keeping track of the business operation and being able to fix issues or recognise successful employees.

The smarter business intelligence provides market behaviour in new ways of analyzing customer’s behaviour much quicker than ever before.

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

Walmart is the biggest retailer in the world and handles more than one million customer transactions every hour and generates more than 2.5 petabytes of data storage (Venkatraman & Brooks, 2012). To put this into perspective, this data is equivalent to 167 times the number of books in America’s Library of Congress (Venkatraman & Brooks, 2012). So how can Wal-Mart use this massive amount of data and what useful information can this data provide? This paper will provide a brief overview of the importance of Business Intelligence (BI) and how the largest retailer in world, Walmart, is using it.

BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting and data mining. ("Business Intelligence (BI)." What Is ? N.p., n.d. Web. 27 July 2013).

There are a variety of benefits when it comes to implementing a business intelligence system. Because the nature of business intelligence is to gather data about customers and analyze the information possessed, it leads to the idea that business intelligence systems can help create better customer relationships. This is due to the fact that the company has a better understanding of what their customers desire and therefore, are able to serve them better. When customers are happy and their needs are fulfilled, the company is able to create customer loyalty, in which customers feel confident in returning to a company with their business because they know they can expect a pleasant transaction.

A new trend has emerged in the modern business environment in which companies are seeking to build what is referred to as "Business Intelligence" or BI for short. This has been viewed as one of the most important organizational priorities for many organizations in the last decade and it is unlikely that this trend will end anytime in the near future. The reason for the BI is pretty clear. Companies have been collecting and warehousing various types of data for many years. BI deals with the means in which companies can make better use of the data; often in real time. This allows companies to better harness information to better support organizational goals and their business objectives. Many of the BI technologies that have developed over the years can deliver better reporting mechanisms, dashboards, and different business metrics so companies can spot various trends and gather insights that can allow the company to ultimately become more competitive. Yet, in spite of the obvious appeal of the benefits a Bi system can offer a company, the development of these systems has been a relatively slow and arduous process. This paper will introduce some of the best practices for current BI systems, as well as some of the possibilities for these systems to further develop in the future.

We live in a day and age where Business Intelligence (BI) tools are becoming a standard for businesses. In the past, decision makers gathered data from thick paper reports, long presentations, and other inefficient tools. However, with rapid advancements in technology, especially in the field of Information Systems, decision makers need more sophisticated and efficient tools to make sense of their businesses. Analytical tools are very useful because they allow decision makers to make decisions at every level of business. We are getting to the point where these tools are critical for a firm’s advancement and competition.

Legacy Business Intelligence tools, which more than 70% of companies today use, are becoming obsolete as they do not align with the needs of businesses today. These cumbersome and highly centralized systems cannot support increasingly dispersed teams that need access to information to take key strategic decisions that help run the business. As a result, an increasing number of corporate decision makers are turning to a next generation, easy to use real time cloud based analytical tools to achieve their business objectives.

R.L Fielding (2008) reiterates that Business Intelligence is a thorough and holistic analysis of the company records, data, information, and software application for effective decision making. All decision making processes need an organized, readily-accessible, and human readable compilations of data. With the use of an effective tool the firm can easily figure out their own business processes, the behavior of their customers, and the economic trend of the industry. With these facts, the firm can arrive at a better strategy to achieve their specified goals with confidence.

Sales date, Quantity sold, Cost, Sales price, Total profit, Shipping address, Customer address, Wireless type, Memory amount, Colour. Information is data converted into a meaningful and useful context. Having the right information at the right moment in time can be worth a fortune. Having the wrong information at the right moment; or the right information at the wrong moment can be disastrous. The truth about information is that its value is only as good as the people who use it. People using the same information can make different decisions depending on how they interpret or analyse the information. Thus information has value only insofar as the people using it do as well. Business intelligence (BI) is information collected from multiple sources such as suppliers, customers, competitors, partners, and industries that analyses patterns, trends, and relationships for strategic decision making. BI manipulates multiple variables and in some cases even

Many businesses plow forward using inferior tools because they’re not sure why or how business intelligence tools deliver value. The beauty of business intelligence is that it improves your ability to identify trends and opportunities, uncover new insights, and refine and enhance operations to achieve business goals. Ultimately, if you don’t have easy access to the right information, evidence-based decision making is impossible.