Business Intelligence Technology Issues Assignment

Business Intelligence Technology Issues - Assignment Example This resultant form of information, termed as knowledge now, can be utilized at large by decision makers. The key business terminology of business intelligence, however, has more than just one meaning associated with it. The various meanings that it may relate to are in correspondence with the numerous ways in which business intelligence can be deployed. Each business holds this entity as its integral part. Without the introduction and implementation of business intelligence into present day organizational structures it may potentially be impossible to run a business at all. In order to demonstrate the variations in its meaning two sample practical meanings of Business Intelligence are demonstrated as under. â€Å"Business intelligence (BI) is a broad category of application programs and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support, quer y and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.† (Sauder, 2011) and, â€Å"Normally describes the result of in-depth analysis of detailed business data. Includes database and application technologies, as well as analysis practices. Sometimes used synonymously with "decision support," though business intelligence is technically much broader, potentially encompassing knowledge management, enterprise resource planning, and data mining, among other practices. ...† (csumb, 2011) TECHNOLOGY AND BUSINESS INTELLIGENCE Present day technological advancements have evolved the meaning of business even further. The technology that is used to deploy the business intelligent practices is ever changing. The ever-growing technological advancements are improving the business intelligence methodologies. However every subsequent technological advancement accompanies issues as well. Following is an account of these issues: Data and T echnology 1) The data of an organization is complex and not properly formulated. The organization of data results in timely implementation of Business Intelligent protocols often resulting in their implementation delay and eventually failure. For example, same objects or entities may be quoted within different systems of a the redundancy and clearing out the definition in which these things are used are tasks that hinder timely implementation of business intelligence issues. 2) At times the chosen business intelligence technology does not suit the existing environment of an organization. The technology of business intelligence proves to be so rigid and cumbersome to change that efficient and timely implement of the project becomes impossible. 3) The Business Intelligence technology used may hinder the existing usage of a current system because: The revealing and imaging of the existing information is done in poor or limited manner. The responsiveness of the data within the system is slow. This cannot be acceptable as proficiency in time is the key issue in business intelligent systems. The process of asking new questions related to the business intelligence technology by the end users or the business intelligence experts may be limited due to their complexity or excessive time consumption. The data required for the business intelligent systems may not be resource-able. This may be due to the fact that no