Analytical Information Technology (Ait)

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.

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.

2. Business intelligence: Delivers synchronized, business-critical data in a variety of diagnostic tools to view market trends and build relationships that help facilitate timely decision making (Microsoft Dynamics NAV, 2011).

This report is an analysis of business intelligence systems currently available to our business. As an introduction, I will address in general terms why we need to purchase a business intelligence system and how it will aid our business. Then I will discuss several applications in detail, paying particular attention to the information and analysis capabilities of each, and the hardware and software required for each. Finally, I will conclude with a short evaluation of the products discussed and offer a recommendation as to the best application for our business. I will pay particular attention to IBM, Microsoft, SAP, and Oracle.

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.

This project is written to explain the processes involved in implementing a business intelligence system. It continues to describe the technologies involved in a business intelligence system, as well as the purpose of the system and how it can help companies become a leader in the industry. Lastly, the report contains facts about industries that have implemented a business intelligence solution, how they use it, and the benefits they reap from the implementation. The report covers multiple industries, but focuses on Chevron oil company and analyzes its business intelligence solution.

Once reports are no longer a straightforward representation of base data they begin to depend more and more on business rules. The term

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.

it is not an easy task to implement a BI successfully. It takes time and effort for an organization

Business intelligence and analytics (BIA), a term coined in 1989, has gained much reaction in the IT practitioner community and academia over the past two decades. BIA refers to: (1) the technologies, systems, practices, and applications that (2) analyze critical business data to (3) help an enterprise better understand its business and market (research paper).

In late eighties, industry expert Howard Dresner suggested “Business Intelligence” as a holistic concept. According to him, business intelligence was a method that assisted in fact-based decision making. Since then, business intelligence has come a long way, evolving into a full-blown field of study.

Business intelligence goes in hand with other organization application areas like data mining and data warehousing.

In order to be successful in today 's competitive corporate place, companies need advance access to business information systems. Organizations need information solutions that help them to achieve accurate and targeted information about customers, various markets and most importantly their competitors. An information system can be defined as a combination of people, hardware, software, communication devices, networks and data resources. The combination of all processes data and converts than in to information for a specific purpose. The system doesn’t function on its own. It needs input from the user. The user provides input to the system to process. The output produced by the system is then sent to another user or other system. This is

Business intelligence goes in hand with other organization application areas like data mining and data warehousing.

Business intelligence systems is complex combination of technology and analytical techniques facilitate business decision making (Chae & Olson, 2013). Additionally, BI provides relevant information on an enterprise and with regards to the market that it is in, incorporating customers, technologies, products, markets, suppliers and competition (Sangari & Razmi, 2015). A corporation generates a lot of operational and transactional data about products, services, sales, customers etc. stored across the various databases in the company we have to select the data that can be used to create intelligence after processing using extraction, transformation and loading (ETL) (Chae & Olson, 2013). Moreover, the data must generate business value, this can be done using data mining, analytical techniques to convert raw data into informational insights to predict future events (Chae & Olson, 2013). Lastly, BI enable to monitor and report company’s performance by the use of KPI’s across various domains by mapping with frameworks like Six Sigma to create dashboards and scoreboards with suggest corrective actions (Chae & Olson, 2013).