...Case Study One- Real-Time Business Intelligence at Continental Airlines Real- time data warehousing works with Continental's strategies and plans through providing the best service possible to its customers. Continental had the goal of getting people to their destinations on time and with everything that they were traveling with. Real-time data warehousing helps to track the flight information, connection information, and passenger information in order for the company to be effective and for the passenger to have an enjoyable flight. With the fast paced environment of society and businesses today, the real-time data warehouse is the most efficient method of information travel for the company to use. At the click of a few keys, anyone with access is able to find information about connecting flights, passenger information and also problems that the passenger might run into with their flights. The real-time data warehousing was able to address the problems with airline reservations and connection people to other airlines for flight transfers, this makes things easier so the airline is able to see where each customer is going and the service that they need to provide to that customer to get them to their location on time with the least amount of glitches as possible. This feature also tracks passenger information such as all of their demographics and also tracks any disturbances that they might have had on a flight before so that the airline can work to avoid anything...
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...Making Business Intelligence Easy White Paper Mobile Business Intelligence and Analytics Mobile Business Intelligence & Analytics Contents Overview ...................................................................................................................................................... 3 What is Mobile Business Intelligence?......................................................................................................... 4 Who is it for? ................................................................................................................................................ 5 What are the external factors driving Mobile Business Intelligence? ........................................................... 6 What are the internal drivers for Mobile Business Intelligence? .................................................................. 7 What benefits are sought? ........................................................................................................................... 8 What organizational factors are required? ................................................................................................... 9 What technology has to underpin a Mobile Business Intelligence initiative? ............................................. 10 Security is paramount ................................................................................................................................ 11 Yellowfin’s Mobile Business Intelligence platform...
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...Business Intelligence-The Next Ruler of IT Monalisa Mishra “In GOD we trust for everything else we need data” -W. Edwards Deming In the present era the old saying has become the buzz of corporate circle and going forward this will be the base principle of decision makers across the world. Welcome to the era of objective thinking powered by technology that has given a new dimension to business and management. With the passage of time more and more companies are coming forward to adopt, improvise and leverage on technology and Business Intelligence has proved to be the flag bearer in this upcoming trend. Business Intelligence, in layman terms, is data converted to information and available in ready to use format that can be further analyzed, modified and transformed as per the changing demand. The industries today are mostly into some or other form of nascent technology that speaks of raw form of information. Basically, these systems are into huge data repository that provides real time information or basics analytic tools that can provide historical analysis. But the future has a lot more to offer. Imagine an automotive plant with fluctuating marketing demand , supply chain constraint and increasing production costs. In such a scenario, we can only expect something beyond human intelligence to give smart solution that approximately optimizes every aspect. Now let us think of a system that is integrated with the production system and marketing technical system. This system...
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...Re : Business intelligence benefits in Airline sector Airline sectors are going through tough times with raising operating costs and decreased occupancy levels. Airlines are investing heavily into business intelligence projects to better understand their customer behavior and airline operations. Also BI systems are being used in reducing costs and increasing efficiency of its operations. Like any other sector airline sector has many functional systems which are independent to each other. They have separate systems for ticketing, airline operations, baggage handling vendor management and loyalty programs. Alaska airlines implemented BI systems with Siebel analytics to increase revenues by marketing personalized promotions to customers. In implementing BI system their first step was to integrate data from all disparate transactional systems into one enterprise data warehouse. Secondly Alaska airlines worked on integrating metadata information from all their transactional systems, so that data could be related. It used Siebel metadata layer to implement all the business rules, aggregation rules and drills rule in their data warehouse so that business users could easily find pattern using BI systems. Alaska airlines also used BI systems to analyze flight routes which are profitable and those having concerns finding customers.BI systems also helped them forecast occupancy levels and according plan their flight staff, vendors and ground staff needs . Continental airlines implemented...
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...Prakash Kirti Mahlawat Mayur Ranoliya Chaminda Fernando Business Intelligence Evolution Handheld devices Sunny [Type the company name] [Pick the date] GROUP 13 Sunny Shah Praveen Prakash Table of Contents Overview 2 Business Intelligence in Mobile: What is it? 3 Users segmentation 4 Executive: 5 End users: 5 Workforce: 5 Processing Data from BI to Mobile Device: 6 Mobile BI Challenges and possible solutions: 6 Real Time Data: 7 Security: 8 Rendering: 9 Mobile BI vendors offering: 11 Yellowfin 11 MicroStrategy Mobile: 12 IBM Cognos 8 Go! Mobile: 13 Summary 13 References 14 Overview With advent of portable devices like mobile phones and iPad, a new era of telecommunication has started. Internet makes the communication even more seamless and it has a profound impact on the businesses and the way they manage their globally accessible data. With the convergence of BI and mobility, the data can be delivered anywhere and anytime. More and more executives are depending on BI to make their daily decisions. Data is growing many folds every year. It is imperative that data is now available on the go. More than ever executives are becoming dependent on the handhelds like iPhone, Blackberry, smart phone and recently launched iPad. The screens have changed from monitors to laptops and now smart phone. Social media is being used by executives and business managers for more than ever. Everybody just loves accessing information...
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...Business Intelligence and Decision Making of Successful Women Entrepreneurs in Northern States of Malaysia Heng Man Chia, Tan Wen Pei, Lim Wang Ru and Yew Bee Jue (2012,UUM) ABSTRACT Women entrepreneurs increasingly become the important role and make a contribution to the economics of the country. The main purpose of this paper is to determine the effects of business intelligence and decision making to the successful women entrepreneurs. This research is mainly focused on the women entrepreneurs in the Northern States of Malaysia as there is no previous research are done in this study. Currently, the government had provided the incentives to support the women entrepreneurs in their business activities. There are plenty of women set up their business in the Northern States of Malaysia. The quantitative methodology used by the researchers in this study based on 95 women entrepreneurs, engaging in their business in the Northern States of Malaysia. The business they engaged mostly in the food industry. The findings of this research indicated that the business intelligence and decision making has not influenced the women entrepreneurs that lead them to success. There are other factors that lead to women entrepreneur success. They might depend on their intuition or advice from others. Most of them are running the micro enterprise. The women entrepreneurs concerned the significance of the education. A discussion on the demographic profile of women entrepreneurs is also provided...
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...net/ajaysuman/artificial-intelligence-in-business ARTIFICIAL INTELLIGENCE IN BUSINESS Introduction Business applications utilize the specific technologies mentioned earlier to try and make better sense of potentially enormous variability (for example, unknown patterns/relationships in sales data, customer buying habits, and so on). However, within the corporate world, AI is widely used for complex problem-solving and decision-support techniques in real-time business applications. The business applicability of AI techniques is spread across functions ranging from finance management to forecasting and production. In the fiercely competitive and dynamic market scenario, decision-making has become fairly complex and latency is inherent in many processes. In addition, the amount of data to be analyzed has increased substantially. AI technologies help enterprises reduce latency in making business decisions, minimize fraud and enhance revenue opportunities. Definition of AI AI is a broad discipline that promises to simulate numerous innate human skills such as automatic programming, case-based reasoning, neural networks, decision-making, expert systems, natural language processing, pattern recognition and speech recognition etc. AI technologies bring more complex data-analysis features to existing applications. There are many definitions that attempt to explain what Artificial Intelligence (AI) is. I like to think of AI as a science that investigates knowledge and intelligence, possibly...
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...| Business Intelligence | Today, Tools and Tomorrow | | Team 5 | 10/12/2010 | Final PaperBusiness XXXX | Introduction Business Intelligence Today Business Intelligence has different meanings and uses to different people. If you were to look Business Intelligence up on Wikipedia it will tell you Business Intelligence, “refers to the computer based techniques used in spotting, digging-out, and analyzing business data…” and that it “often aims to support better business decisions”. Many people only think of the data needed to understand the competition and others think of BI as the information that is confidential to their business. Today Business Intelligence is all of this and so much more. Business intelligence used successfully can be a powerful tool utilized for competitive advantage. To ensure success, companies must understand the importance of accuracy in the data they have gathered together. If the data they have pulled together is not accurate then the information that will be used to make business decisions could potentially cause poor or misdirected decisions having huge negative impacts on their organizations. During a time when the economy has taken such a down turn this can make or break an organization. One industry where business intelligence is being utilized heavily is insurance. The insurance industry in the past few years has taken a huge hit on their credibility. To ensure competitive advantage they must utilize their BI to ensure...
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...Business Intelligence as an indispensable tool for decision making in big companies * What is Business intelligence exactly? (Bapt ou Greg) Business intelligence, or BI for short, is a term that refers to competencies, processes, technologies, applications and practices used to support evidence-based decision making in organisations. In the widest sense it can be defined as a collection of approaches for gathering, storing, analysing and providing access to data that helps users to gain insights and make better fact-based business decisions. The basic components of Business Intelligence are gathering, storing, analysing and providing access to data (see Figure). Gathering Data Gathering data is concerned with collecting or accessing data which can then be used to inform decision making. Gathering data can come in many formats and basically refers to the automated measurement and collection of performance data. For example, these can come from transactional systems that keep logs of past transactions, point-of-sale systems, web site software, production systems that measure and track quality, etc. A major challenge of gathering data is making sure that the relevant data is collected in the right way at the right time. If the data quality is not controlled at the data gathering stage then it can jeopardise the entire BI efforts that might follow - always remember the old adage - garbage in garbage out. Storing Data Storing Data is concerned with making sure the data...
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...cu MOVEIN BUSINESS INTELLIGENCE AND ANALYTICS REPORT me nt ap A Business Plan on the Role of Business Intelligence and Analytics for MoveIn Pty Ltd Th ink sw Do TABLE OF CONTENTS Executive Summary ........................................................................................................................ 2 1 -‐ Introduction .............................................................................................................................. 3 2 -‐ Role of Business Intelligence ..................................................................................................... 3 2.1 -‐ Business Intelligence -‐ Overview ............................................................................................... 3 2.2 -‐ Business Intelligence Tools ........................................................................................................ 4 2.2.1 -‐ On-‐line Analytical Processing .............................................................................................. 4 2.2.2 -‐ Data Mining ........................................................................................................................ 5 ...
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...ALEXANDRIA, EGYPT IMPLEMENTING BUSINESS INTELLIGENCE SYSTEM IN ALEXANDRIA PORT AUTHORITY A Thesis Submitted in Partial Fulfillment of the Requirements for The Degree of Master in International Transport and Logistics By Mahmoud Aly Supervised by Prof. Dr. Mohamed ElFayumy January 2013 Abstract Ports of Alexandria, Damietta and Adabia has already developed and implemented operation control and monitor system that can handle Vessel Movement, Cargo Charge/discharge for both General Cargo and Container terminals , also a warehouse system, Gate control system, and Billing Invoice System, all these steps are the very first steps toward Monitor and control Day to day operation Jobs and tasks in ports, but it doesn’t make a big significance in boosting port performance , in order to take full advantages of these IT systems port authorities should implement Business Intelligence System as BI or EIS “Executive Information System” Combine Operation Data from all different department systems then calculate and analysis these Data into performance report , benchmarks, interactive dashboards showing High port management Executives where and when the performance boost or fail, in a another word BI is acting as Information Technology intended to be as Decision Support System for Executives to take the right decision at the right time saving a lot of cost and redirect wasted effort toward...
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...Communications of the Association for Information Systems (Volume13, 2004) 177-195 177 Business Intelligence by S. Negash BUSINESS INTELLIGENCE Solomon Negash Computer Science and Information Systems Department Kennesaw State University snegash@kennesaw.edu ABSTRACT Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process. Business Intelligence is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; and the actions of competitors and the implications of these actions. The emergence of the data warehouse as a repository, advances in data cleansing, increased capabilities of hardware and software, and the emergence of the web architecture all combine to create a richer business intelligence environment than was available previously. Although business intelligence systems are widely used in industry, research about them is limited. This paper, in addition to being a tutorial, proposes a BI framework and potential research topics. The framework highlights the importance of unstructured data and discusses the need to develop BI tools for its acquisition, integration, cleanup, search, analysis, and delivery. In addition, this paper...
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...Abstract Business intelligence (BI) is a grouping of different resources that affect the way data is utilized within businesses. The technologies available with business intelligence focus on utilizing the data within a company the best possible way. The successfulness of business intelligence relies on the constant evolving of the solutions as well as the scalability of the program. Business intelligence solutions are available in self- service options as well mobile choices and use on the cloud. Business intelligence has and is making a big impact on companies all over the world in many different ways. Business Intelligence is a set or collection of concepts, procedures, styles, and technologies that change basic data into beneficial and valuable information for business related purposes. One main purpose of business intelligence is to take on large amounts of indistinct data in order to piece together and create new opportunities for a variety of business types. (Cooper & Schindler, 2014)The incorporation of business intelligence helps businesses process large amounts of data easily in order for the business to take on new prospects and put into place new and effective strategies for the business to gain market advantage and achieve long-term stability. (Jullens, 2013) The technologies utilized by business intelligence incorporate past, present and future possibilities for business procedures. Business intelligence utilizes presentations and technologies...
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...Jacob Moore GBA 673 Business Intelligence Jacob Moore GBA 673 Dr. Lara Preiser-Houy, CDP August 20th, 2013 1|Page Jacob Moore GBA 673 Table of Contents Abstract ....................................................................................................................................................... 3 Introduction ............................................................................................................................................... 3 Background ................................................................................................................................................ 4 Conceptualization ..................................................................................................................................... 4 BI 1.0 ......................................................................................................................................................... 4 BI 2.0 ......................................................................................................................................................... 5 BI 3.0 ......................................................................................................................................................... 5 Opportunities ............................................................................................................................................ 6 Challenges ........................................
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...Communications of the Association for Information Systems (Volume13, 2004) 177-195 177 BUSINESS INTELLIGENCE Solomon Negash Computer Science and Information Systems Department Kennesaw State University snegash@kennesaw.edu ABSTRACT Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process. Business Intelligence is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; and the actions of competitors and the implications of these actions. The emergence of the data warehouse as a repository, advances in data cleansing, increased capabilities of hardware and software, and the emergence of the web architecture all combine to create a richer business intelligence environment than was available previously. Although business intelligence systems are widely used in industry, research about them is limited. This paper, in addition to being a tutorial, proposes a BI framework and potential research topics. The framework highlights the importance of unstructured data and discusses the need to develop BI tools for its acquisition, integration, cleanup, search, analysis, and delivery. In addition, this paper explores a matrix for BI data types (structured...
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