...Cloud Business Intelligence 1 Cloud Business Intelligence A Research Project Submitted as part of Final exam for BMGT531 By Praneeth Pabbaraju (ID # 111-00-3655) Naveen Veeramachaneni (ID # 111-00-2643) Narasimha Naidu Madireddy( ID # 110-00-4194) BMGT 531, Business Intelligence Spring 2012, Section 1260 Professor Paul Jaikaran University of Northern Virginia Cloud Business Intelligence 2 Business Intelligence: The term Business Intelligence was coined by Hans Peter Luhn of IBM wherein he describes the Business Intelligences as ability to find the interrelationships among the available data and guide the set of actions to reach the desired goal. What all an organization needs to be a leader in the market is information. Information can be available in large forms like web resources, text data, graphs and statistics. The more information a firm has the more powerful it is getting on. Firms need to assess the future market condition with the available previous and present data so as to be a leader. The major goal of Business Intelligence is to dwell in all the available information, refine it and organize it in such a way that right information is passed to right people through the right way. Now, data can be in vast amounts, of which some might be useful and some might not be useful. Business intelligence tools like reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management...
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...Open Object Business Intelligence Release 1.0 Tiny SPRL 2009-04-09 CONTENTS i ii Open Object Business Intelligence, Release 1.0 I 1 2 Part 1 : Introduction Goal of the project What is for User? 2.1 2.2 2.3 For the end-user: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . For the administrator user: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . For the developer: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 7 9 9 9 9 11 12 15 3 OLAP 3.1 Who uses OLAP and Why? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Terminologies II 5 6 Part 2 : Architecture Schema Components 6.1 6.2 6.3 6.4 6.5 6.6 The Cube . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The CLI interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Cube Definition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Web Client . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The OpenOffice plugin . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Open ERP interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 19 21 21 21 21 22 22 22 23 25 26 7 Extra libraries 8 Introduction to the OpenObject Module 8.1...
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...ITM 309—Business Information Systems and Technology Michigan State University - Spring 2014 Instructor Information: Name: Dr. Frederick A. Rodammer Office: N236 North Business Complex Office Hours: Monday: 10:15-11:30 Wednesday: 10:15-11:30 By appointment Office Phone: 355-0309 Office Fax: 432-1101 E-mail: Course: Faculty Through ANGEL Direct to Dr. Rodammer: rodammer@broad.msu.edu Required Textbook: 1) ITM 309 - Business Driven Systems and Technology, 4th Edition, 2014 Copyright; MSU Custom Green Textbook - (Required) 2) Course Content in Angel. We will use everyday in class. Web page: http://angel.msu.edu Statement on Academic Integrity and Honor Code: It is assumed that all work done for credit will be the result of the individual’s or authorized group’s unaided effort. Your signature or personal submittal on any piece of submitted work will provide assurance that you have neither given nor received any unauthorized help in its preparation. Anyone who either gives or receives unauthorized assistance in the preparation of work at home or during exams in class will be subject to disciplinary action under the provisions and policies set forth by Michigan State University. The instructor will file an academic dishonesty report for each student who commits an academic integrity violation. Honor Code: A committee representing undergraduates has authored...
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...CSCI-5012 Special Class JAGADISH.MUDDAPATI Student ID: 104722670 Many Data Systems are used in Scientific or non-Business Domains. Many of the Books and Reference Materials available implicitly support Business Domain concepts. If you look a Data Warehousing Books, Online Analytical Processing (OLAP) books, even many of the current Big Data and NoSQL books are oriented towards Business Data. If you look at the Tools available, such as Extract, Transform and Load (ETL) tools, and Data Processing Tools like Hadoop, Storm, and Spark, you still see primarily Business Domain support. Think about the differences between Business Data Systems and Scientific Data Systems. Write a small paper (1 – 2 pages) discussing any differences and similarities you can find or think of. Scientific data systems is less oriented on yielding practical results and more concerned with finding out more about how the world works. Scientific data systems usually involve a great deal of computation (arithmetic and comparison operations) upon a relatively small amount of input data, resulting in a small volume of output. An SDMS (Scientific data management systems) can be seen as one potential solution for handling unstructured data, which can make up nearly 75 percent of a research and development unit's data. This includes PDF files, images, instrument data, spreadsheets, and other forms of data rendered in many environments in the laboratory. Traditional SDMSs have focused on acting as...
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...it’s operations. The development team led by Group President and Chief Information Officer Filippo Passerini, helped create a system of tools designed to collect data and aid in statistical forecasts. The data collected gave up-to-date performance information on specific brands, retailers and individual stores. This information became available to all leading executives at the touch of button, compiled into graphs and charts making visual conclusions easier to realize. At a company meeting in 2011, Vice President of Procter & Gamble’s North America Fabric Care division, Alan Torres, was shown results on the launch of a new compacted laundry detergent, which was released two months earlier. The results were better than anticipated as IDS analyst, Julie Wright, displayed the data on a giant screen in the...
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...INSTRUCTIONS: 1. Form a group – consist of FOUR (4) students 2. Answer all the questions below. FORMAT of YOUR REPORT: 1. Cover – consist of your name and student id 2. Content – * Separate the answer for Chapter 5 and Chapter 6 * PART A: Answer all the questions and please include all the questions as well. * PART B: Discuss the case studies and answer all the questions given. 3. References – include the link or your references Due of Submission: 10th May 2016 (Tuesday) before 12.00 noon. Submit your report at my office at 58, Level 2, Block A. Chapter 5: IT Infrastructure and Emerging Technologies PART A: 1. What is IT infrastructure and what are its components? • Define IT infrastructure from both a technology and a services perspective. • List and describe the components of IT infrastructure that firms need to manage 2. What are the stages and technology drivers of IT infrastructure evolution? • List each of the eras in IT infrastructure evolution and describe its distinguishing characteristics. • Define and describe the following: Web server, application server, multitiered client/server architecture. • Describe Moore’s Law and the Law of Mass Digital Storage. • Describe how network economics, declining communications costs, and technology standards affect IT infrastructure. 3. What are the current trends in computer hardware platforms? • Describe the evolving mobile platform, grid computing, and cloud computing. • Explain how businesses...
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...ASSIGNMENT: BIG DATA CHALLENGES CASE STUDY TITLE: CONVERTING DATA INTO BUSINESS VALUE AT VOLVO STUDENT’s NAME: JOSEPH OSASUMWEN LECTURER’s NAME: PROF. HOSSEIN FIROUZI COURSE TITLE: CIS 500 DATE: JANUARY 28, 2013. ABSTRACT Big data has posed both challenges and opportunity in our present world of technology sciences. The challenges related to searching, analyzing, manipulating, and organizing are experienced when data explode, this challenges cannot be assign to one sector or field because it has encroach almost all sector relating to healthcare, retailing, manufacturing, governmental institutions, financial services, physical and life sciences. These big data when well managed with the right strategies and IT infrastructure, can support organization in analysis, decision making, better business intelligence, enhance communications capabilities and enrich collaboration, like in the case of VOLVO car corporation whose challenges was transform to better anticipated needs of customer, ad-hoc analysis and employees making inform decision other than guess work. HOW VOLVO CAR CORPORATION INTEGRATED THE CLOUD INTO ITS NETWORKS. Volvo need a global IT infrastructure because its customers are globally, which inspired the car company to select WINDOWS AZURE. The company wanted a new infrastructure to match their huge data challenges, the cloud infrastructure uses the ETL (extract transform load) to stream huge data from the previous DBMS (database management systems)...
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...CRITICAL SUCCESS FACTORS FOR BUSINESS INTELLIGENCE SYSTEMS WILLIAM YEOH University of South Australia SA 5095 Australia ANDY KORONIOS University of South Australia SA 5095 Australia The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors. This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success. The study followed a two-stage qualitative approach. Firstly, the authors utilised the Delphi method to conduct three rounds of studies. The study develops a CSFs framework crucial for BI systems implementation. Next, the framework and the associated CSFs are delineated through a series of case studies. The empirical findings substantiate the construct and applicability of the framework. More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results. Keywords: Business intelligence system, Critical success factors, Delphi method, Case study INTRODUCTION Recently Business Intelligence (BI) applications have been dominating the technology priority list of many CIOs [11, 12]. According to Reinschmidt and Francoise [22], a BI system is “an integrated set...
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...Oracle® Business Intelligence Applications Installation Guide for Informatica PowerCenter Users Release 7.9.6.4 E35271-01 November 2012 Provides the steps to install and set up Oracle Business Intelligence Applications Release 7.9.6.4. Oracle Business Intelligence Applications Installation Guide for Informatica PowerCenter Users, Release 7.9.6.4 E35271-01 Copyright © 2009, 2012, Oracle and/or its affiliates. All rights reserved. Primary Author: P Brownbridge This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, the following notice is applicable: U.S. GOVERNMENT END USERS: Oracle programs, including any operating system, integrated software, any programs installed...
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...Paper on Business Intelligence (BI) Index of Topics covered 1 What is BI 2 Applications of BI 3 Common Functions of BI 4 Requirement & Challenges of BI Implementation 5 Best Practices of BI 6 Case Study 7 Conclusion What is BI: BI is a broad category of applications and technology for gathering, storing and providing access to data to help enterprises make better decisions. It can provide information of various “Information Assets” in an organization and how they interact with each other. These assets include Customer Databases, SCM Information, Personnel data, Manufacturing, Sales & Marketing Activity. Applications of BI: BI can be applied to MARCKM * Measurement - performance metrics, benchmarking etc., * Analytics - data mining, process mining, predictive modeling * Reporting - Data visualization, Executive Information System * Collaboraton - Data sharing & Electronic Data Interchange. * Knowledge Management - This leads to regulatory compliance and learning management The term was used by Gartner group in 1996, “..... Data analysis, reporting and query tools can help business users wade through a sea of data to synthesize valuable information from it - which today collectively fall into a category of BI.” Common Functions & Requirements of BI Common functions of BI are reporting, analytics, data mining, process mining, complex event processing and predictive analysis. Requirement &...
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...Top Data Management Terms to Know Fifteen essential definitions you need to know Fifteen Essential Data Management Terms We know it’s not always easy to keep up-to-date Contents with the latest data management terms. That’s why we have put together the top fifteen terms and definitions that you and your peers need to know. OLAP (online analytical processing) Star schema What is OLAP (online analytical processing) Fact table OLAP (online analytical processing) is computer processing that enables a Big data analytics Data modeling Ad hoc analysis user to easily and selectively extract and view data from different points of view. For example, a user can request that data be analyzed to display a spreadsheet showing all of a company's beach ball products sold in Florida in the month of July, compare revenue figures with those for the same products in September, and then see a comparison of other product sales in Data visualization Extract, transform, load (ETL) Florida in the same time period. To facilitate this kind of analysis, OLAP data is stored in a multidimensional database. Whereas a relational database can be thought of as two-dimensional, a multidimensional database considers each data attribute (such as product, geographic sales region, and time Association rules (in data mining) Relational database period) as a separate "dimension." OLAP software can locate the intersection of dimensions (all products sold in the...
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...Introduction: We now live in an era of information overload. Nowadays, most Business Intelligence (BI) applications till now have focussed on managing the strategic and tactical business methods and initiatives of organizations. Without Business Intelligence, an organization runs the danger of settling on discriminating choices focused around deficient or wrong data. Settling on choices focused around "gut feel" won't take care of business! One of the fastest BI growth area, lies in its use for managing and optimizing daily business solutions and operations that include overseeing database workloads that answer a mixture of Online Transaction Processing (OLTP)-like questions and additional business insight enquiries. This paper stresses on the importance of operational Business Intelligence in organizations that are not very well equipped to implement BI, and looks at the necessities for building and deploying an operational BI framework. The three main types of BI are - Strategic - Tactical and - Operational. Operational BI is concerned mainly with overseeing and optimizing everyday business operations and solutions. It delivers the required data or information at the right time to the right clients or users for them to tackle current business problems quickly and fulfill new business requirements. It helps organizations work smart and become nimble, which enables them to be competitive and in turn improve customer satisfaction. Inventory (Stock), Network and Risk...
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...SOLUTIONS GUIDE The Splunk Guide to Operational Intelligence Turn Machine-Generated Data Into Real-Time Visibility, Insight and Intelligence What is Splunk® Enterprise? Splunk Enterprise is the leading platform for realtime operational intelligence. It’s the easy, fast and secure way to search, analyze and visualize the massive streams of machine data generated by your IT systems and technology infrastructure—physical, virtual and in the cloud. Use Splunk Enterprise and your machine data to deliver new levels of visibility, insight and intelligence for IT and the business. wire data, web servers, custom applications, application servers, hypervisors, GPS systems, stock market feeds, social media, sensors and preexisting structured databases. It gives you a real-time understanding of what’s happening and deep analysis of what’s happened across your IT systems and technology infrastructure, so you can make informed decisions. Splunk Enterprise has many critical uses across IT and the business: Application Delivery: provide end-to-end visibility across distributed infrastructures; troubleshoot across application environments; monitor for performance degradation; trace transactions across distributed systems and infrastructure Security, Compliance and Fraud: provide rapid incident response, real-time correlation and in-depth monitoring across data sources; conduct statistical analysis for advance pattern detection and threat defense Infrastructure and Operations Management: proactively...
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...------------------------------------------------- Cases Included: ------------------------------------------------- - Oracle – An Overview of Oracle Business Intelligence ------------------------------------------------- - Enterprise Health Information Systems ------------------------------------------------- - FedEx Express EMEA ------------------------------------------------- ------------------------------------------------- Cases Included: ------------------------------------------------- - Oracle – An Overview of Oracle Business Intelligence ------------------------------------------------- - Enterprise Health Information Systems ------------------------------------------------- - FedEx Express EMEA ------------------------------------------------- ITM505 Group 18 – 3 Long Cases ITM505 Group 18 – 3 Long Cases By: Ali Ahmed (500405839), Arham Gul (500393563), Qasim Malik (500450605), Arich Lengkong (500481555), Patrick Antwi (500461586) By: Ali Ahmed (500405839), Arham Gul (500393563), Qasim Malik (500450605), Arich Lengkong (500481555), Patrick Antwi (500461586) Contents Case Analysis – Oracle: An Overview of Oracle Business Intelligence Applications 3 Introduction 3 Key Issues 3 Key Assumptions 4 What are the advantages and disadvantages of using a Business Intelligence (BI) software system in a small/medium level business? 5 Procurement and Spend Analytics: 5 Supply Chain and Order Management Analytic 5 Financial/Monetary Analytics 5 Sales, Price...
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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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