|BUSINESS INTELLIGENCE |Week 1 & 2 | |Diploma in IT | | |Year 3 (2013/14) Semester 6 | | |
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[pic] May 2001, Volume 69, Number 3 Credit Card Revolutionary In the conservative world of banking and finance, it takes a bold and passionate leader like Richard Fairbank, MBA ’81, to change an industry. By MIKE McNAMEE HAVE YOU EVER TRIED TO EXPLAIN a credit card to a child—why the supermarket will give you valuable items like Fruit Loops, Lunchables, and pudding cups, and all you do is swipe a piece of plastic through a machine? “It’s like, the bank gives the money to the store
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Big Data Big Data and Business Strategy Businesses have come a long way in the way that information is being given to management, from comparing quarter sales all the way down to view how customers interact with the business. With so many new technology’s and new systems emerging, it has now become faster and easier to get any type of information, instead of using, for example, your sales processing system that might not get all the information that a manger might need. This is where big data
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Task 1 Answer to Discussion Question: 1. When developing a successful data warehouse, what are the most important risks and issues to consider and potentially avoid? Data warehouse projects have many risks. Most of them are also found in other IT projects, but data warehousing risks are more serious because data warehouses are expensive, time-and-resource demanding, large-scale projects. Each risk should be assessed at the inception of the project. When developing a successful data warehouse, it
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Data analysis has provided businesses with new opportunities. It provides companies with information on what their customers want and enables businesses to respond to changing market trends in a timely manner. Decision-making is crucial in every business today. It has become important to adapt to, a data-driven decision-making process. Companies are taking advantage of the new technologies in data analysis to benefit from good decisions and identify new opportunities to gain a competitive advantage
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Chapter 12 Enhancing Decision Making Case 2: IBM and Cognos: Business Intelligence and Analytics for Improved Decision Making Tags: business decision making; business intelligence software; decision support systems; management reporting systems; executive dashboards; mobile delivery platforms. Summary In this video from the National Association of Broadcasters (NAB), Dan Fulwiler and Steve Segalewitz from IBM, discuss how understanding your online data more clearly can improve decision-making
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Expert Systems Dr. Ashraf Shirani Literature Review for Group 1 Group Members: Leslie Allen Joe Nimely Oluranti Odofin Gary Turner The topic for the research paper will be business intelligence, most specifically the impact on privacy. The data gathered through various business intelligence technologies, while it may not be personally identifiable information such as name and/or social security number, the data provided to businesses gives them a greater insight into consumer behavior
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ACO is currently using Cognos TM1 as one of their Business intelligence tools. The capabilities of Cognos are as follows: * Query and reporting: Authoring viewing and modifying reports * Analysis: information access, ability to drill down real-time data and the ability to use predictive analytics * Scorecards: ability to track performance using KPI’s for performance assessment * Dashboards: Assembles and format all sorts of content for further analysis and trend spotting * Mobile
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Assignment 2: Harnessing Information Management, the Data, and Infrastructure Due Week 4 and worth 120 points In Assignment 1, you investigated data analytics and the utilization of data analytics in business. In this assignment, use the company or industry that you selected in Assignment 1. Use the Internet or Strayer Library to explore the relationship between information management and data storage techniques. Write a four to six (4-6) page paper in which you: Ascertain the importance
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Week 1 Assignment - POPULAR BUSINESS JOURNALS to: | | from: | | subject: | SUCCESSFUL BI IMplEMENTATIONS – INSURANCE INDUSTRY | date: | January 11, 2015 | | | | | Over the past decade due to increased competition, product commoditization and price pressure, insurance companies are seeking to create differentiated value propositions in their products, while reducing losses and improving efficiencies. Business people in functions such as sales, marketing, finance, underwriting, and claims
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