...IBM Software Group Business Analytics Cognos Enterprise The right architecture for business intelligence The foundation for effective enterprise BI 2 The right architecture for business intelligence Overview In a fast, interconnecting and complex world, it is no longer enough to decide and act on the basis of limited information or traditional strategic planning cycles. New challenges and opportunities require agility: the ability to quickly assess, reinvent and adjust. Business analytics is helping many organizations achieve this kind of agility. Analytics software brings together business intelligence (BI) capabilities such as reporting, analysis and scorecarding with planning, scenario modeling, real-time monitoring and predictive analytics. It lets you tap into information within your organization and beyond, to connect with key stakeholders and to share insight, align and decide. Analytics-driven organizations not only seize opportunities: they outperform. IBM’s 2010 CFO study (involving more than 1,900 CFOs and senior finance leaders worldwide) showed that analytics-driven organizations had 33 percent more revenue growth and 32 percent more return on capital invested. Investing in analytics is considered a priority for many organizations, but a big question can be the technology platform. Which platforms provide the best foundation for positive business outcomes? What kind of architecture best lends itself to accessible analysis, intuitive collaboration...
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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. Video demonstration of IBM/Cognos BI software applications. In the accelerating media industry, discovering relevant business insights within the chaos of available information can lead to substantial competitive advantage. IBM Business Intelligence and Analytics is designed to integrate all data providers and in-house sources to reveal timely and actionable business insights. The software collects, connects and leverages information from consumers to suppliers. L= 5:06 URL: http://www.youtube.com/watch?v=NI59ZgyQqBc Case IBM has been known for most of its recent history as the world's largest computer company. With over 388,000 employees worldwide, IBM is the largest and most profitable information technology employer in the world. It is still selling computers today, and is still one of the biggest computer companies in the world, and it has also been known to produce very efficient computers as well. IBM holds more patents than any other U.S. based technology company...
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...the best decisions for your business. Many popular software packages include; Cognos, Tableau, Information Builders, Saas, and Microsoft Reporting Services. Each of these provide the individual with many different functions including strengths and weaknesses and ease of use to learn. Many of them are more expensive and therefore more reliable when deciding on what software to use to better your business. From business intelligence to financial performance and strategy management to analytics applications, Cognos software can provide what your organization needs to become top-performing and analytics-driven. With products for the individual, workgroup, department, midsize business and large enterprise, Cognos software is designed to help everyone in your organization make the decisions that achieve better business outcomes—for now and in the future. Cognos is IBM's business intelligence (BI) and performance management software suite. (Boylan) The software is designed to enable business users without technical knowledge to extract corporate data, analyze it and assemble reports. Cognos is composed of nearly three dozen software products. (Boylan) Because Cognos is built on open standards, the software products can be used with relational and multidimensional data sources from multiple vendors, including Microsoft, NCR Teradata, SAP and Oracle. Import, merge and analyze data on your desktop, including personal files, historical business intelligence, databases and more. (Boylan)...
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...Business Intelligence: Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help corporate executives, business managers and other end users make more informed business decisions. Business intelligence tools are a type of application software designed to retrieve, analyze, transform and report data for business intelligence. The tools generally read data that have been previously stored, often, though not necessarily, in a data warehouse or data mart. BI Tools Analyzed: When preparing the analysis of the business intelligence tools, I made a personal preference of analyzing the tools leading in the Gartner chart, and that these tools must have efficient service and customer usage. The 5 business intelligence tools which I have selected are as follows: 1. IBM Cognos Link: http://www-01.ibm.com/software/analytics/cognos/ 2. Oracle BI 12c Link: http://www.oracle.com/us/solutions/business-analytics/business-intelligence/foundation-suite/overview/index.html 3. SAS Enterprise Intelligence Platform Link: http://support.sas.com/documentation/onlinedoc/intellplatform/index.html#intell92 4. Microsoft SQL Server + MS SharePoint Server Link: https://technet.microsoft.com/en-us/library/ee210689(v=sql.105).aspx 5. MicroStrategy Link: http://www.microstrategy.com/us Criteria used for Evaluation: I have researched for multiple criteria and then grouped them into 5 main groups based...
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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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...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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...Ahmed Mansour Big Data and Analytics Developer at OMS ahmedelmasry_60311@hotmail.com Summary Working in Big Data & Analytics (2014 - Present). Working in Business Intelligence (IBM Cognos) (2013 - Present). Working in ERP & Data manipulation (Oracle & Asp.net) (2011 - 2013). Skills (Pivotal HD (Hadoop),Oracle, Sql Server, MongoDB, Asp.net, JavaScript, Node.js, C#). Training (Pivotal HD Hadoop training). Master's Degree in Informatics at Nile University (2014-2016) Graduated from Faculty of Science, Cairo University (2011). Awarded (YIA) The Young Innovator Award (2010). Experience Big Data and Analytics Developer at OMS April 2015 - Present (1 month) Developing and analysis Big Data using Hadoop framework (Pivotal HD & Hawq), Hadoop Eco-System Co-Founder and Data Analyst at AlliSootak September 2010 - Present (4 years 8 months) Developing and Researcher Senior Software Developer at Fifth Dimension (5d) October 2014 - April 2015 (7 months) Senior Software Developer at Bizware August 2013 - October 2014 (1 year 3 months) Developing 2 recommendations available upon request Director of Special Projects at CIT Support May 2012 - January 2014 (1 year 9 months) Ensure that the client's requirements are met, the project is completed on time and within budget and that everyone else is doing their job properly. Senior Software Developer at I-Axiom Cloud ERP Solutions November 2011 - August 2013 (1 year 10 months) Developing Certifications The Data Scientist’s...
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...of designing solutions around Ab Initio, with advanced skills in high performance and parallelism in Ab Initio • Data warehousing implementation experience • Knowledge of Oracle 8i/9i • Strong analytical & problem solving skills • Strong UNIX, korn shell scripting experience. • Experience in leading a team of ETL developers • Experience in co-coordinating with offshore on development/ maintenance projects Work Location Bangalore, Chennai, Pune Requirement Cognos Lead/ Architect Experience 5-10years Qualification B.E/B. Tech/MCA/ME/M. Tech Candidate Requirement • Extensive Experience & Expertise on Business Intelligence, DW • Min. 3 years of hands on experience with Cognos toolsets, Cognos architecture. • Must have hands on experience on Cognos Report Studio , Cognos Analysis Studio , Metrics Studio , and Cognos 8 portals • Must have experience in building large data warehousing and BI applications. Able to gather requirements, and the ability to lead. Design, Develop, configure and optimize Cognos reports, cubes and dashboards. Have an understanding of logical and physical database design / modeling. Experience with dimensional modeling is a must. Hands on experience to working with SQL...
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...Reviewing the Case Study on page 465 of the text on how analytics help the Cincinnati Zoo know its customers, we are faced with two questions. These questions are as follows: How did the Cincinnati Zoo benefit from business intelligence How did it enhance operational performance and decision making? After reading over this case study, I have come to the prediction that Cincinnati Zoo benefits from business intelligence by first upgrading its information systems to focus more on an alytics and data management standpoint (Laudon, 2014) The Zoo used infrastructure for collecting, storing, and analyzing data produced by business databases, data warehouses, and data markets. By using the partnership of IBM and BrightStar Partners, IBM Cognos Business Intelligence provided real-time analytics and reporting (Laudon, 2014). Through the business intelligence programs, Cincinnati Zoo benefits for a higher profit by sending weather forecast data to the intelligence system to make more accurate decisions about staffing and inventory planning. The enhanced operational performance and decision making of Cincinnati Zoo can be said to be that of a High-velocity automated decision making. These decisions are made readily through the Zoo intelligence system which led the business to dramatically improvements in sales as well as profit gains. The Cincinnati Zoo intelligence solution achieved defining steps for a highly structured decision making business platform. Reference Laudon, K. C., & Laudon...
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...generation of business intelligence and visual analysis software puts data into the hands of the people who need it to quickly connect to any data, find meaningful insights, easily create map views, and add data from multiple sources at any time. Slow, rigid systems are no longer good enough for business users or the IT teams that support them. Competitive pressures and new sources of data are creating new requirements. Users are demanding the ability to answer their questions quickly and easily. People see and understand data, reports and dashboards faster through unique, easy-to-use visual analytics technology. Vendors and Software Products in this space QlikView: QlikView is business intelligence software to turn data into knowledge. It enables users to consolidate, search and visually analyze data using QlikView’s simplicity. GoodData: GoodData allows clients to track changes in pipeline with detailed graphs and charts. Analysis can be done across dimensions, set indicators to measure performance. IBM Cognos: IBM Cognos is web-based, integrated BI software which provides toolset for reporting, analyzing, scorecarding and monitoring of events and metrics of any amount of data or scenario’s. Spotfire: TIBCO Spotfire is a business intelligence software platform that allows users to analyze data using statistics. It has the ability to develop dynamic analytic applications that run on web. Overview of Tableau: Tableau software is business intelligence software primarily...
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...BI Norwegian School of Management – Thesis Master of Science in Innovation and Entrepreneurship GRA 19002 Convergence, Complementarity or Disruption: Enterprise Search and Business Intelligence By Vedrana Jez Hand-in date: 01.09.2009 Supervisor: Dr. Espen Andersen This thesis is a part of the MSc programme at BI Norwegian School of Management. The school takes no responsibility for the methods used, results found and conclusions drawn. Acknowledgments I would like to thank my supervisor, Dr. Espen Andersen, for his support and guidance throughout the project. I am also grateful to all participants in this research for their contribution and time. Finally, I thank my family for their understanding, encouragement and patience. Thesis 01.09.2009 Content Content ..................................................................................................................... i Abstract .................................................................................................................. iv Introduction ............................................................................................................ 1 Research Methodology ........................................................................................... 2 Research Question .........................................................................................................2 Method Used ..................................................................
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...2033 Management Information Systems Assignment 3 – Business Intelligence IMB Cognos Insight is a personal analytics solution that empowers users to independently explore, analyze, visualize and share data without relying on IT for assistance. IBM Cognos Insight delivers data interactivity, analysis and visualization capabilities to individual desktop users. You may use IBM Cognos Insight in the ATAC lab or install a fully functional version on your computer from their website https://www.analyticszone.com/homepage/web/displayHomePage.action . For this, you need to register with Analytics Zone. Note that it may take several days or more for the company to verify your identity and give you access to the software. A number of online tutorials are available at http://ibmtvdemo.edgesuite.net/software/analytics/cognos/videos/HTVs/ci102/index.html Part 1. Getting started. Download the file “Sample - Superstore Subset (Excel).xlsx” from D2L on your computer. Unzip it if necessary (i.e., extract the files from the zip archive). Put it into the folder where you will store all the files for this assignment. I recommend using a special folder on a memory key or a folder on your laptop. If you start moving your files later, you may have a problem connecting to this data source. In BI, dimensions are categorical fields that are used to slice the data. Those are non-numerical data types. You cannot do calculations (e.g., add, subtract, etc.) on these data types. In contrast...
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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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...throughout the semester. This paper would not have been possible without her cooperation and technical assistance. We would also thank our Institution and our faculty members without whom this project would have been a distant reality. We also extend our heartfelt thanks to our family and well wishers. I would like to take this occasion to specially thank University of Northern Virginia to provide us with excellent faculty and also in supporting us getting quality education remotely. Contents SL No Title Page no 1 Abstract 5 2 Introduction to Databases 6 3 OLTP and OLAP Systems 7 4 Difference between OLTP and OLAP 9 5 Data Modeling 13 6 Workflows in Enterprise level Data warehousing 18 7 Business Intelligence tools used in Data flow and Data Warehousing 21 8 Analysis in Data warehousing 24 9 Conclusion 28 10 Foot Note 30 11 References 31 ABSTRACT These days majority of the applications, may it be web applications or windows applications or mobile applications, are completely database dependent. Most of the application developments are becoming database driven environments, hence rendering databases as one of the most key elements in a software environment. This dependency on databases can attributed to the increasing number of data requirements from the...
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...IBM Introduces Powerful Analytics for Everyone.What is Watson Analytics? * Watson Analytics offers you the benefits of advanced analytics without the complexity. A smart data discovery service available on the cloud, it guides data exploration, automates predictive analytics and enables effortless dashboard and infographic creation.You can get answers and new insights to make confident decisions in minutes—all on your own. IBM ADVANCED ANALYTICS 1IBM helps you:Reveal hidden patterns and relationships in your data.Tell stories with powerful visual cues and automated visualizations.Allow diverse users, from subject matter experts to data scientists, to explore data easily, ask questions and get insightful answers 2. Infuse optimized, predictive analytics into your business processes.Determine the next best action for complex problems based on predictions, rules, goals and constraints 3.Build real-time analytics into your business processes, with no business disruption as you process millions of events per second.Tackle a wide range of analytics in real time on varied data types, including machine learning, natural language, text, acoustic and more 4.Quickly identify trends and patterns across time as reflected in all types of unstructured content.Easily classify documents, to simplify the selection of relevant content for any project 5 Get fast, interactive reporting and discovery of data from virtually any source IBM Watson Analytics is an easy-to-use service...
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