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The automated systems that support in decision making process are known as Business Intelligence Systems. In the past 10 years, the importance of Business Intelligence Systems has gained widespread acceptance by the industry. There are a large number of organizations that are now dealing with great number customers and enormous amount of data. To meet their growing computation needs and enhance their timely decision making capability, these organizations are highly relying on business intelligence applications to meet the challenges posed by the today’s competitive market. To overcome these challenges, the companies and organizations integrate enterprise applications with the real time systems such as decision support systems and business intelligence systems. There are several companies and organizations that are using Business Intelligence tools to get knowledge from the history data and to make plan and educated guesses for the future trends and demands. Many companies know the importance and role of Business Intelligence to make effective and timely decisions in order to enhance their productivity and keep abreast with the new market demands. Due to the recent technological advancements and availability of state-of-the-art software tools, the Business Intelligence Systems have gained significant importance in the business world. Currently, most of the organizations around the globe are adopting Business Intelligence solutions to earn maximum profits, reduce recurring expenditures, promote business and retain customers. Business Intelligence is defined as an organization’s capability to gather all its strengths and skill sets and transform theses into a knowledge which is now known as a currency of the business. The acquired information or knowledge may be linked to the large amounts of historical data which may lead to new vistas of opportunities for the organization. In this paper, we present a comparative study of the business intelligence tools and techniques used to make effective decisions.