Business Intelligence Is The Gathering And Analysis

Business Intelligence (BI) is the consolidation and analysis of internal data and / or external data for the purpose of effective decision-making. At the core of all BI initiatives is a data warehouse to hold the data and analytics software. The data warehouse stores data from operational systems in the organization and restructures it to enable queries and models to extract decision support reports.

In a SAP environment, the Cognos application helps consolidate and make more efficient the reporting, planning, and scorecarding functions. Finally, in an Oracle environment the Cognos application effectively combines with already existing Oracle and PeopleSoft databases, gateways, and applications to allow for a virtually seamless integration. From an integration standpoint, Cognos seems to be the business intelligence application that readily fits into almost any existing environment.

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.

Data Warehouse is a database which is designed to process for query and analysis rather than for transaction processing, and it is usually contains historical data derived from transaction data, but can include data from other sources while relational database optimized for online transaction which includes insertions, updates and deletion.

Business intelligence is a collection of theories, procedures, and arrangements that turn raw data into meaningful and applicable information for business objectives. Business Intelligence can handle vast amounts of unstructured, semi-structured as well as structured data to help recognize, develop and generate new opportunities. In a simple phrase, business intelligence makes interpreting voluminous data amiable. Exploiting new opportunities and carrying out effective strategies can provide a competitive market advantage and long-term stability.

Business Intelligence (BI) is defined by IBM as, “the discipline that combines services, applications and technologies to gather, manage and analyze data, transforming it into usable information to develop insight and understanding needed to make informed decisions.” (IBM.com, 2006) In its most basic form, BI is an umbrella principle that synergizes the core understanding of your business, including all of its facets, and acting on what that foundation is made up of.

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.

Business Intelligence is a process which includes different technologies and methods process for analysing data and presenting information which is helpful for top level management.BI includes various tools, application, and methodologies that enable organizations to collect data from internal and external sources, prepare that for analysis develop and run queries against the data and generate different kind of graphs and reports. Business Intelligence can analysis large amount of data easily and affectively .Identifying new threats and opportunities and implementing an effective and profitable strategy based on insight can provide business a market stability and long term stability.

Business intelligence (BI) is a technology-based procedure for analysing data and giving decision based information to help corporate executives, business managers and other end users make more informed business decisions. BI comprises a variety of tools, applications and methodologies that enable organizations to collect data from different sources such as internal systems and external sources, prepare it for analysis, develop and run queries against the data, and create reports, analytic dashboards and data visualizations to make the analytical results available to corporate decision makers as well as operational workers. Simply put, Business Intelligence is technology process that assists in the conversion of raw data into meaningful information. It helps you analyse the past and come up with the strategy to improve the future. When organizations carry out their day- to -day operation, raw data is generated and mostly stored in a database .This data needs to be analysed and meaningful information extracted from it. Based on this output, come up with future strategy that will grow the company. Making future decisions directly from raw data is impossible as a result there is need for the data to be converted into meaningful data. Management makes use of this information to take fact based decision that will result to a better future. The data used for Business Intelligence analysis comes from OLTP (Online transaction processing).These are daily transaction that takes place

All great organizations share one thing in common, the use of business intelligence. Business intelligence (BI) provides tools that revolutionize the way organizations manage business and decision-making. It allows them to transform mass amounts of raw data into reliable information necessary to make important business decisions. BI delivers relevant and reliable information to those who seek it with the goal of achieving better decisions faster. An employee is independently able to navigate through a company’s data and find what he or she needs without relying on others. This means an organization no longer needs to dig through compiled webs of linked spreadsheets, analyze the data manually and mash together reports. Instead, employees can use BI systems to request the specific information that is useful for them (Hitachi Solutions Canada, 2014). BI allows managers to reach the most accurate and contemporaneous information an organization’s database cannot retrieve. The software offers applications for both data analysis and presentation of results. Applications such as data mining and decision support systems allow one to contemplate how he or she wants to analyze the data. Data mining refers to the process of searching for valuable business information in a large database, data warehouse, or data mart. Decision support systems combine models and data in an attempt to analyze semi structured and some unstructured problems with

complicated. It is a major mutual concern for all business and IT sector companies to change the existing situation of "mass data, poor knowledge" and support better business decision-making and help enterprises increase profits and market share. Business intelligence technologies have emerged at such challenging times. Business today has compelled the enterprises to run different but coexisting information systems.

Business intelligence solutions are very significant to an enterprise performance and capabilities at all levels. They help the business to be more efficient, identify new business opportunities and spot areas of cost savings. Timely access to relevant information has been a hindrance to many business successes. The management is always necessitated to base its decision on the full range of information available but the business always has a huge amount of data (IBM, 2014). Due to the current escalating competition that is eroding the business loyal customers, they are required to install

The Enterprise Insights (EI) team’s mission is to provide timely, reliable, and actionable information to facilitate the best strategic and operational business decisions to support SWA company objectives. EI seeks to deliver advanced analytic capabilities through partnership with business customers to provide relevant and insightful information to businesses.

When leaders have access to more and better quality data, there is bound to be a number of benefits involved. If you are looking to decide whether your company needs business intelligence software, make sure you consider the following ten benefits of it during your analysis process. They will help you make a better decision.

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.