Business Intelligence

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.

In 2011 the giant retailer Target got in trouble for sending coupons for baby clothes and nursery furniture to a teenage girl. The father drove to the local Target and complained to the manager. Two weeks later, the father called Target to apologize. After a long talk with his teenage daughter, he found out she was indeed pregnant. Not only was Target able to predict the teenager was pregnant … but they also forecasted what month the girl was likely to deliver her baby.

SYSCO was a highly decentralized business composed of over 100 operating companies. Senior executives believed in treating these companies as largely independent businesses whose leaders should be entrepreneurial and growth oriented. Consequently, operating company managers had substantial autonomy; they could market to customers and invest in their businesses as they saw fit.2

Promote and lead: Identifying the administrative and cultural barriers such as big data leadership, data cycle,

Each record contains 12 attributes. Each record contains a set of attributes and one attribute

When thinking about Business Intelligence tools for visual interfaces (dashboards) to assist in monitoring business performance, Tableau is currently all the rage and the top of many companies’ wish lists for software to incorporate into their business and skills for those in which they employ. However, for many companies the investment in both the software and the people with the skills to use Tableau may be just out of reach… especially for companies who are cautious to “jump on the bandwagon” for what is the current hot trend in the market.

Business intelligence (BI) processes monitor and analyze business transaction processes to ensure that they are optimized to meet the business goals of the organization. These goals may be operational goals that affect daily business operations, tactical goals that involve short-term programs such as marketing campaigns, or strategic goals that entail long-term objectives like increasing revenues and reducing costs.

Enterprise Data Warehouses (EDW) have become the foundation of many enterprises' systems of record, serving as the catalyst of strategic initiatives encompassing Customer Relationship Management (CRM), Supply Chain Management SCM) and the pervasive adoption of analytics and Business Intelligence (BI) throughout enterprises. The role of databases continues to be an ancillary one, supporting the overall structural and data integrity of the EDW and increasing its value to the overall enterprise (Phillips, 1997). The advances made over the last decade in the areas of Extra, Transact & Load (ETL) have made it possible to create EDW frameworks and platforms more efficiently, creating greater accuracy in overall database and data warehouse performance as a result (Ballou, Tayi, 1999). The creation and use of an EDW to further drive an organization to its objectives requires that the differences between databases and data warehouses be defined, in addition to a clear, concise definition of just what data warehouse technologies are. Finally, the relationship between data warehouses and business intelligence (BI) including analytics needs analysis and validation. Each of these three areas are discussed in this analysis.

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.

Business analytics, in a nutshell, is usage of the type of data that can help one analyze a particular business situation and decide how to improve it. Instruments used for such an assessment include statistics, and both quantitative and qualitative analysis, as well as predictive and explanatory modeling.

Jones, stakeholders is people, groups or other organizations who have an interest, claim, or stake

Business analysts engage in Business Intelligence (BI) initiatives to derive useful information out of of raw data. One popular BI technique is data mining. This research paper overviews Business Intelligence and its history, followed by an in-depth discussion on data mining, including its functional framework, its popular models, end-users, issues and trends. The paper also

Business Intelligence is the gathering and analysis of large amounts of information so as to gain insights that propagate strategic and tactical business decisions. Business Intelligence is the conglomeration of the processes and technologies which change data into information. It encompasses a wide category of technologies, including data warehousing, multidimensional analysis or online analytical processing, data mining and visualization, as well as basic queries and multiple types of analytical tools for reporting. These technologies allow business stakeholders to collect, store, access, and do the analysis of data to improve the business decision-making capabilities (Khan, 2005).

This paper represents the Information Systems Decision-Making course and will address the following two issues.

In the enterprise world, business intelligence has become a common necessity in every organization whether big or small. According to Shollo and Kautz (2010, p. 1), business intelligence is defined as ‘a process, a product, and as a set of technologies, or a combination of these’. Input from a wide range of corporate stakeholders is essential to implement an effective corporate business intelligence strategy. The purpose of a corporate business intelligence strategy is to aid business with planning in a long run, to aid middle management with tactical reporting, and help operations with daily decision making to efficiently run a business (Pant 2009). A stakeholder is anybody who has an interest in a particular decision which includes people who influence a decision, or could influence it, as well as those affected by it. Contribution of corporate stakeholders in corporate business intelligence strategy will result in the strategy to be successful as well as yield more positive stakeholders.