Bi And Big Dat The Transformation Of Raw Data Into Meaningful And Useful Information For Business Analysis

Information – business intelligence – is no longer the exclusive domain of IT or research departments. From marketing and finance to management and operations, intelligence is applied strategically throughout the enterprise. And professionals who know how to gather and leverage it are the ones who will lead organizations, control decisions, and be relied upon to steer their companies.

Business Intelligence: Business intelligence is a program that coordinates the best combinations of data in sales to achieve maximum profits.

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.

In detail, a strong resistance will come from some of the operating companies that already have “their own small-scale business intelligence applications in place”. These companies may not see any valid reason or advantage to switch and implement a new software system. Furthermore, another obstacle that SYSCO might confront will be the objection from the existing managers and IT experts averse and incapable of using a new software with different functions. Moreover, the forthcoming implementation time of the BI software proposed by the Assistant Vice President of Technology and Applications Twila Day might raise doubts and concerns among management as well as

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).

First off, why do we need a business intelligence system for our business? Simply put, an effective

Businesses today have access to significantly more data than any other time in history; however, most businesses are not capturing or using the data effectively. A report by the Aberdeen Group, “The Executive’s Guide to Effective Analytics,” indicates that “44 percent of executives are dissatisfied with the analytic capabilities available to them today, and that they often make critical decisions based on inaccurate or inadequate data” (Forbes, 2014). Luckily, CEO’s are beginning to recognize the need for analytics and more and more businesses are making a shift towards a data-driven business culture.

Companies are adopting business intelligence system within their organizations because by using the system reports they can gain the advantages of understanding their internal strength and weaknesses to face external competitors and challenges to increase profits and reduce cost on their everyday operations and processes.

Business Intelligence projects start out as a simple report or request for an extract of data. Once the base data is aggregated then the next request usually is about summing data or creating more reports that have different views to the data sets. Before long complex logic comes into play and the metrics coming out of the system are very important to many corporate wide citizens. "Centrally managed business rules enable BI projects to draw from the business know-how of a company and to work with consistent sets of business logic – they are what add the intelligence to business intelligence."(pg14)

“Business intelligence is the process of gathering high-quality and meaningful information about the subject matter being researched that will help the

In 1977, Larry Ellison, Bob Miner, and Ed Oates founded System Development Laboratories. After being inspired by a research paper written in 1970 by an IBM researcher titled “A Relational Model of Data for Large Shared Data Banks” they decided to build a new type of database called a relational database system. The original project on the relational database system was for the government (Central

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 (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.

This paper illustrates the concept of Business Intelligence as a stored knowledge of the company that can be developed and organized for better and effective decision making process. It synthesizes the concept of business intelligence and introduces the BI information system software that can harness all the needed information and data for decision makers. This process is placed in the context of mid size companies in Saudi Arabia for them to gain competitive advantage.