COURSE SYLLABUS. Please Note: Any reference to I is a pronoun for the course designer, Dr. Mike Lohle.

Size: px
Start display at page:

Download "COURSE SYLLABUS. Please Note: Any reference to I is a pronoun for the course designer, Dr. Mike Lohle."

Transcription

1 University of Bridgeport The Ernest C. Trefz School of Business MGMT 548 6W1/TCMG 549-6W1 Business Intelligence and Decision Support Systems Fall, 2015 Wednesdays, 6:15 8:45 PM Dr. Mike Lohle, Office Hours: Mondays, 2:00 3:00 PM Wednesdays and Thursdays, 5:00 6:00 PM COURSE SYLLABUS Please Note: Any reference to I is a pronoun for the course designer, Dr. Mike Lohle. Course Description If information is business lifeblood then business intelligence (BI) is its beating heart, ensuring actionable information reaches everyone who needs it throughout the enterprise. With business analytics, big data and cloud BI exploding in the marketplace professionals should understand BI to help their enterprises harness the power of their data. This is the course I wish I had when I started in the field, an immersive, fourteen week BI boot camp where students submit interim, mid term and final papers and personal reflections to prove their content mastery. I ve added additional topics and cases from experience to compliment Cindi Howson s excellent text, a text written for managers grappling with how to leverage their enterprise data to generate positive results. Learning Outcomes Students will leave this course with a working knowledge of: BI Business Drivers and Context BI Conceptual Solution Architecture The Relationship Between BI and Business Analytics Information Delivery Tools BI Delivery and Success Measures Executive Support, Culture and Effective Business-IT Partnership Data Architecture, Data Governance and Master Data Management BI User Adoption and Training Agile and Iterative BI Development Approaches Enterprise vs. Local BI BI Trends Consulting Skills Course Textbook: Howson, C. (2014). Successful business intelligence: Unlock the value of BI and big data. New York. McGraw Hill Education. ISBN: University of Bridgeport 1 MGMT 548-6W1/TCMG 549-6W1

2 COURSE REQUIREMENTS Class Attendance, Punctuality and Participation: Attendance at each class session is expected. Students must be on time for class. Each week, you will be evaluated on these three dimensions for a total of 100 points: Present, 33 points On Time, 33 points Class Participation, 34 points. Students will only be afforded one excused absence or late arrival for the semester unless consideration is required for special circumstances. As a UB policy, it is expected that each student that attends one hour of classroom instruction will require a minimum of two hours of out of class student work each week for approximately fifteen weeks for one semester. Academic Honesty: Cheating and plagiarizing means using the work of others as your own and is unacceptable. Several times during the semester I will review how plagiarism will be evaluated. If I catch you cheating or plagiarizing you will fail the assignment. A second offense will result in an F grade for the course. Also, research papers must be completed independently, you cannot collaborate with others or leverage their previously submitted papers as a foundation for your own and doing so will be considered plagiarism. In addition, students may not reuse research they have previously submitted for another class. All assignments must be submitted via Canvas. Written assignments should be typed and double spaced using 12 point Times New Roman font and cover sufficient length to address the homework assignment s requirements. Deadlines and Late Policy: Canvas assignments close at the beginning of the session they are due. Grades for assignments turned in a week late will be penalized a half-letter grade, assignments turned in up to two weeks late will be penalized a full letter grade; assignments will not be accepted two weeks or more after the due date. Such assignments, as well as assignments that are not turned in at all, will receive a 0 grade. Since students must submit materials using Canvas for Turnitin review, if late submissions are requested the students will send their submission to me via Canvas and I will process it via Turnitin. The Use of Portable Devices is Prohibited. Students must turn off and stow all personal devices (laptops, phones, tablets, etc.) during class. University of Bridgeport 2 MGMT 548-6W1/TCMG 549-6W1

3 Assignments Research Papers Students will submit five interim research papers, one mid term research paper and one final research paper. Interim Research Paper Specifications For the first interim research paper students will select one topic that interests them from sessions 1 2. For the second interim research paper students will select a topic that interests them from sessions 3 4. For the third interim research paper students will select one topic that interests them from sessions 5 8. For the fourth interim research paper students will select one topic that interests them from sessions For the fifth interim research paper students will select one topic that interests them from sessions Minimum Required Length: 5 pages Minimum Required References: 3 references Reference Citation Format: APA 5th Required Outline: Introduction Findings Conclusions Recommendations Lessons Learned Reference List. Notes: Idea paragraphs are not required for interim research papers (see the mid term and final research paper specifications section for more details on idea paragraphs). The title page and reference list do not count toward the length requirements. Students must submit five pages of original content. Since these interim research papers are short students should not attempt to cover more than one topic. Students cannot include the Howson book on their reference list for these interim research papers. University of Bridgeport 3 MGMT 548-6W1/TCMG 549-6W1

4 Mid Term and Final Research Paper Specifications For the mid term research paper, students will select one topic that interests them from sessions 1 7. For the final research paper, students will choose one topic that interests them from sessions Notes: The title page and reference list do not count toward the length requirements. Students must submit fifteen pages of original content. Since the mid term and final research papers are longer and require more depth than the interim research papers, students are welcome to cover more than one topic if that interests them and is reasonable. Students cannot choose a topic they covered in their interim research papers for either their mid term or final research papers. Students cannot include the Howson book on their reference list for either the mid term or final research papers. Minimum Required Length: 15 pages Minimum Required References: 10 references Reference Citation Format: APA 5th Required Outline: Introduction Findings Conclusions Recommendations Lessons Learned Reference List. For the mid term and final research papers, students will submit two research paper idea paragraphs consisting of 4 5 sentences, one for the mid term research paper and one for the final research paper, several weeks prior the submission date and I will review and approve their ideas. While students will not have covered all the material specified in the course summary detail section of this syllabus by then, they must consider all material up to the submission date when choosing a topic. University of Bridgeport 4 MGMT 548-6W1/TCMG 549-6W1

5 Important: Research papers must consist of your work. If I conclude that you have worked with other students in writing your paper, have leveraged other students previously submitted work or work you have previously submitted for other classes, I will consider you guilty of plagiarism (see the section on academic honesty for details). The evaluation rubrics for research papers are included on the next two pages. Regarding the Research Paper Evaluation Rubric Evaluation dimensions 3a and 5a on the following research paper rubric refer to the interim research papers required number of references and length while dimensions 3b and 5b refer to same for the mid term and final research papers. University of Bridgeport 5 MGMT 548-6W1/TCMG 549-6W1

6 Research Paper Grading Rubric. Use this rubric as a checklist when writing and proofreading your papers. It depicts how I will evaluate your submission. A fail evaluation for dimensions 1 5 results in a grade of 59 for the submission. Note: For dimensions 1 and 2, a second offense results in a failure for the course. Note: A conclusion that a student has plagiarized is not taken lightly. The instructor will evaluate papers with Turnitin Similarity Ratings of 25% or higher on an individual basis. Note: The instructor will evaluate dimension 2 using Turnitin. All papers will be reviewed for this dimension regardless of their similarity rating. 3a. Interim Research Papers, Number of References Pass Fail 3b. Mid Term and Final Research Papers, Number of References Pass Fail 3 or more references. Less than 3 references. 10 or more references. Less than 10 references. 5a. Interim Research Papers, Length Pass Fail 5b. Mid Term and Final Research Papers, Length Pass Fail 5 pages or more. Less than 5 pages. 15 pages or more. Less than 15 pages. This rubric is continued on the next page. University of Bridgeport 6 MGMT 548-6W1/TCMG 549-6W1

7 A fail evaluation on dimensions 6-7 results in a 10 point reduction. For dimension 8, full credit for each dimension = 20 points for a total of 100 points. University of Bridgeport 7 MGMT 548-6W1/TCMG 549-6W1

8 Personal Reflections Each week, students will submit a personal reflection via Canvas about the topics covered in that week s session following the outline below. The purpose of this exercise is to affirm students are actively engaging with and learning from the material. These personal reflections are similar to quizzes and provide the opportunity for students to practice critical thinking and writing. Notes: Throughout the semester I will share good articles about BI and ask students to reflect on them in their personal reflections. I will provide announcements, links and other relevant information in the appropriate reflection assignments as relevant. Students must include specifics to support their points. This is a key evaluation dimension in the personal reflection rubric. Here are the specifications for our weekly personal reflections: Minimum Required Length: Three paragraphs Vehicle for Submission: Relevant Canvas assignments Required Outline: Lessons learned from this week s class Biggest takeaway from this week s class Surprise(s) from this week s class. The evaluation rubric for personal reflections is on the next page. University of Bridgeport 8 MGMT 548-6W1/TCMG 549-6W1

9 Personal Reflection Grading Rubric. Use this rubric as a checklist when writing and proofreading your papers. It depicts how I will evaluate your submission: A fail evaluation for dimensions 1 and 2 results in a grade of 59 for the submission. A fail evaluation for dimension 3 results in a 10 point reduction. For dimension 4, full credit for each dimension = 20 points for a total of 100 points. 4. Content Evaluation English Grammar Message Clarity Message Specificity Reflection Content Relation to Course Materials The writing exhibits Master's level English skill. The reflection conveys a clear message. The reflection avoids generalities and includes specific examples. The content exhibits a clear understanding of the course materials. The material directly relates to the course materials. University of Bridgeport 9 MGMT 548-6W1/TCMG 549-6W1

10 Course Schedule Summary This grid depicts our schedule for assignments and deliverables. Specific components are also confirmed in the course summary detail section of this syllabus: Interim Research Papers Mid Term and Final Research Paper Idea Paragraphs Mid Term and Final Research Papers Session Date Session # 8/26/ /2/ X 9/9/ X X 9/16/ X X 9/23/ X X 9/30/ X 10/7/ (Mid term) X X 10/14/ X 10/21/ X X 10/28/ X 11/4/ X X X 11/11/ X 11/18/ X X 11/25/2015 NO CLASS!! 12/2/ X X 12/9/2015 NO FINAL!! X X = Deliverable Assigned X = Deliverable Due Weekly Reflections Please Note: Deliverable assigned dates confirm those dates when I will assign class deliverables. Deliverable due dates confirm the due date for assignment submission. In the course schedule detail section of this syllabus, assignment submissions are confirmed during the week leading up to these due dates to ensure students deliver on or before the date that deliverables are required. University of Bridgeport 10 MGMT 548-6W1/TCMG 549-6W1

11 Course Grading Attendance, Punctuality and Participation 15% Interim Research Papers 25% Personal Reflections 30% Mid Term and Final Research Papers 30% Total 100% The following letter grades correspond to the Trefz School of Business standard grading criteria: Letter Grade Range A A B B B C C C D D D F Below 60 English Proficiency and Message Clarity English is UB s standard language. Since this is a master s level course I expect your level of English proficiency and message clarity to be comparable with what one would find in a workplace where English is the standard language. A critical success factor will be my ability to understand your message. I will provide feedback using videos that offer an opportunity to practice your understanding of English. I will also evaluate the English proficiency in your presentations and written work. If you are comfortable with English, I still strongly suggest investing sufficient time to proofread and/or practice to ensure your message is clear and error free. If you are not comfortable with English I urge you to procure assistance from the Academic Resource Center for your written submissions. Course Environment Many students are surprised with the high level of interaction I invite and expect in my classes. This class is a safe environment where you should feel empowered. Moreover, this is dense material so I urge students to ask questions. I expect all students to actively engage and will track that participation in your weekly class participation grade. University of Bridgeport 11 MGMT 548-6W1/TCMG 549-6W1

12 COURSE SCHEDULE DETAIL Session 1 8/26/2015 Syllabus Review How to write a resource paper and how plagiarism will be evaluated Introduction to BI and Big Data BI product discussion: Harvest Trends Videos: o Cindi Howson on the BI Scorecard o Relational Database Concepts Read Howson chapters 1 and 2 Session 2 9/2/2015 Sample BI Architecture Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) Enterprise Resource Planning (ERP) Conceptual Architecture Key BI Concepts and Components Data Warehouses and Data Marts Data Normalization and Denormalization Data Extract SQL vs. Graphical User Interfaces (GUIs) Cloud BI Analytic Appliances Data Loading and Database Tuning Big Data Concepts and Big Data Technologies The Next Generation Analytic Ecosystem Video: A Practical Approach, Building a Big Data Landscape, Joe Caserta, President and CEO, Caserta Concepts Read Howson chapter 3 Submit your first interim research paper University of Bridgeport 12 MGMT 548-6W1/TCMG 549-6W1

13 Session 3 9/9/2015 Self Service BI, Business Query and Reporting Tools Report Formatting Ad Hoc vs. Predefined Reports The Semantic Layer Visual Data Discovery vs. Business Query Dashboards Scorecards Production Reporting Mobile BI Online Analytical Processing (OLAP) Revisited BI and Microsoft Office Important BI Applications Videos: o SAP Business Objects Crystal Reports o IBM Cognos Business Intelligence o SAP Business Objects Universe and Report Design Read Howson chapter 4 Submit the mid term research paper idea paragraph Session 4 9/16/20215 Defining BI Success BI s Impact on Business Performance Justifying Success o Net Present Value o Return on Investment BI Usage Tracking and User Adoption Cost/Benefit Analyses (CBAs) for o Data Mart Projects o Dashboard Projects Read Howson chapter 5 University of Bridgeport 13 MGMT 548-6W1/TCMG 549-6W1

14 Submit your second interim research paper Session 5 9/16/2015 BI Responsiveness Cases of Opportunity and Luck Cases of Local Innovation Cases of Frustration Cases of Threats BI Effectiveness Over Time A Context for BI Evaluation Videos: o MicroStrategy Overview o Tibco Spotfire Overview o QlikView Overview o Tableau Desktop Overview Read Howson chapter 6 Session 6 9/30/2015 Cultural and Organizational Aspects for Successful BI BI Executive Sponsorship Getting and Keeping Executive Buy-In Demonstrate Small Successes Managing Expectations Exploit Frustration, Evolve and Engage Culture: Valuing Data and Technology Hiring The Right People Effective and Ineffective BI Sponsors Videos: o Oracle PL/SQL Overview o Informatica Overview Read Howson chapter 7 Submit your mid term research paper University of Bridgeport 14 MGMT 548-6W1/TCMG 549-6W1

15 Session 7 10/7/2013 The IT and Business Relationship The Myers-Briggs Personality Type Indicator (MBTI) Incentives Hybrid Business-IT People Partnering for Effective BI Different Perceptions of Partnership The Impact of Partnership on BI Success Effective Business and IT Alignment Examples of BI Demand Management The Demand-Assessment-Release Planning Process A BI Strategic Business Alignment Framework The Importance of Architectural Flexibility The BI Step Diagram Home Work: Read Howson Chapter 8 Session 8 10/14/2015 Data Architecture Data Quality Data Governance A Sample BI Testing Process Data Quality Break Fixes Quality Assurance Rigor Data Quality Expectation Management and Assessment The Source Data Maze Legacy BI Decommissioning Master Data Management (MDM) Surrogate Keys Data Refresh Frequency Decision Latency Change Data Capture (CDC) Read Howson chapter 9 University of Bridgeport 15 MGMT 548-6W1/TCMG 549-6W1

16 Submit the third interim research paper Session 9 10/21/2015 BI Relevance, User Adoption and User Acceptance Testing (UAT) Sample BI Help Desk Value Proposition BI Pilots and Soft Launches Pre-UAT Tests Incentives Revisited Personalization and Security The BI User Access Pyramid Requirements Driven BI Making Big Data Relevant Videos: o Geospatial Big Data o Geographical Information Systems Read Howson chapter 10 Session 10 10/28/2015 BI Configuration Management Waterfall, Iterative and Agile Project Management (PM) The Most Effective PM Methods for Different BI Modules Inserting Your Chosen Delivery Method into the PMI s PMBoK A Sample BI Systems Development Life Cycle (SDLC) Placing BI Logic in the Extract, Transformation and Load (ETL) Placing BI Logic in Dashboards or Reports Coping with BI Vendor Upgrades The Ad Hoc Conundrum BI Project Performance Read Howson chapter 11 Submit your fourth interim research paper Submit your final research paper idea paragraph University of Bridgeport 16 MGMT 548-6W1/TCMG 549-6W1

17 Session 11 11/4/2015 Departmental, Enterprise and Hybrid BI Shared vs. Locally Dedicated BI Resources The Business Intelligence Competency Center (BICC) Sample BI Roles A Sample BI Responsibility Assignment Matrix (RACI) The Tragedy of the Commons, the Prisoner s Dilemma and BI Organizational Design Examples BI Delivery Models vs. Organization Charts Implementing a Sample BI Delivery Model Read Howson chapter 12 Session 12 11/11/2015 BI Tool Selection BI Front End Tools, the BI Technology Stack and BI Standards Data Scientists and Business Analytics Tools BI User Segmentation Decisions, Value, Volume and Predictability BI and Job Level, Function and Context Data Literacy and Profiling Technical Literacy User Demographics and their Impact on BI Adoption Managing Spreadsheet Use Successful BI Modules Satisfying Frustrated BI Users Videos: o In Memory Processing Overview o IBM s Netezza Data Warehouse Appliance o Machine Learning Overview o Tableau vs. Excel Read Howson chapter 13 Submit the fifth interim research paper University of Bridgeport 17 MGMT 548-6W1/TCMG 549-6W1

18 Session 13 11/18/2015 BI s Impact on Business Innovation The BI Innovation Lab The Phases of BI Promotion A Sample Business Intelligence Strategy, Vision and Components From Technical Talk to Business Benefits BI Taglines Sample BI Application Names that Endured Sample BI Product Names Used for BI Applications Sample BI Promotional Media Developing BI Team Esprit Key Topics for Successful BI Standard and Custom BI Training BI Knowledge Bases Data Visualization Read Howson chapter 14 Submit your final individual research paper No Class 11/25/2015 Session 14 12/2/2015 Thanksgiving Top BI Innovation Priorities Evaluating BI Technology BI Search and Text Analytics Collaboration Microsoft Integration Hadoop and the Future of the Data Warehouse Privacy and Big Data The BI Maturity Model A Consulting Skills Primer University of Bridgeport 18 MGMT 548-6W1/TCMG 549-6W1

19 No Class Finals Week 12/9/2015 No office hours will be held during finals week. University of Bridgeport 19 MGMT 548-6W1/TCMG 549-6W1

20 Reference List [AnalyticsZone]. ( ). IBM Cognos business intelligence. [Video File]. Retrieved from Caserta, J. [Caserta Concepts]. ( ). A practical approach: Building a big data landscape [Video File]. Retrieved from Dalkir, K. (2011). Knowledge management in theory and practice (2 nd Ed.). Cambridge. MIT Press. [DigitalGlobe]. ( ). Geospatial big data [Video file]. Retrieved from [Evonne64]. ( ). What is gis? Video produced by ESRI [Video file]. Retrieved from Gillies, A. [DSCallards]. ( ). SAP Crystal Reports solutions empowering your users driving success. [Video File]. Retrieved from Glasser, M. [Prescott Computer Guy]. ( ). Relational database concepts [Video file]. Retrieved from [GoGeeko]. ( ). Beginners Informatica 9x etl tool overview tutorial [Video file]. Retrieved from: Hoffman, M. [MicroStrategyKnowHow]. ( ). Visual Insight based on the new MicroStrategy analytics platgform [Video File]. Retrieved from Howson, C. (2014). Successful business intelligence: Unlock the value of BI and big data. New York. McGraw Hill Education. ISBN: Harvest Trends Website. Harvest Trends, n.b. Web. < [Jay Nagy]. ( ). Netezza Overview Software and services offered by N2N, Inc. IBM business partner [Video file]. Retrieved from Keiser, M. [LiveIntent Video]. ( ). What the heck is machine learning anyway? [Video file]. Retrieved from University of Bridgeport 20 MGMT 548-6W1/TCMG 549-6W1

21 Rajan, C. [Oracle Coach]. ( ). PL1 PL SQL tutorial introduction to PL SQL programming [Video file]. Retrieved from 73sf9gdydy [SAPSchool]. ( ). Introduction to SAP Business Objects (BO / BOBJ). [Video File]. Retrieved from [Tableau Software]. ( ). Tableau desktop product tour [Video file]. Retrieved from VvvLEK34KnV&index=3 [Tableau Software]. ( ). Tableau vs. Excel [Video file]. Retrieved from [Tibco Spotfire]. ( ). TIBCO Spotfire analytics [Video file]. Retrieved from [The Bloor Group]. ( ). Need for speed: How in-memory changes everything [Video file]. Retrieved from [Qlik]. ( ). QlikView product tour [Video file]. Retrieved from University of Bridgeport 21 MGMT 548-6W1/TCMG 549-6W1

COURSE SYLLABUS. Please Note: Any reference to I is a pronoun for the course designer, Dr. Mike Lohle. Course Description

COURSE SYLLABUS. Please Note: Any reference to I is a pronoun for the course designer, Dr. Mike Lohle. Course Description University of Bridgeport The Ernest C. Trefz School of Business MGMT 548/TCMG 549 Business Intelligence and Decision Support Systems Spring, 2016 Wednesdays, 6:15 8:45 PM Dr. Mike Lohle, mlohle@bridgeport.edu

More information

UNIVERSITY OF BRIDGEPORT School of Engineering COURSE SYLLABUS. TCMG-555-6T1 Project Management

UNIVERSITY OF BRIDGEPORT School of Engineering COURSE SYLLABUS. TCMG-555-6T1 Project Management UNIVERSITY OF BRIDGEPORT School of Engineering COURSE SYLLABUS TCMG-555-6T1 Project Management Semester Offered: Spring 2016 Instructor: John Jagtiani Course Number: TCMG 505 6T1 Office: Ph.D. Offices

More information

TCMG-505 - Project Management University of Bridgeport Online MS in Technology Management

TCMG-505 - Project Management University of Bridgeport Online MS in Technology Management TCMG-505 - Project Management University of Bridgeport Online MS in Technology Management Professor Mike Okrent, Sc.D., PMP, CQMgr., CSCP, mokrent@bridgeport.edu. Note: Students are asked to use the water

More information

Understanding and Evaluating the BI Platform by Cindi Howson

Understanding and Evaluating the BI Platform by Cindi Howson Understanding and Evaluating the BI Platform by Cindi Howson All rights reserved. Reproduction in whole or part prohibited except by written permission. Product and company names mentioned herein may be

More information

Management Consulting Systems Integration Managed Services WHITE PAPER DATA DISCOVERY VS ENTERPRISE BUSINESS INTELLIGENCE

Management Consulting Systems Integration Managed Services WHITE PAPER DATA DISCOVERY VS ENTERPRISE BUSINESS INTELLIGENCE Management Consulting Systems Integration Managed Services WHITE PAPER DATA DISCOVERY VS ENTERPRISE BUSINESS INTELLIGENCE INTRODUCTION Over the past several years a new category of Business Intelligence

More information

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. H22120, page 1 Job Description- Manager, Data and Analytics Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. FUNCTIONAL

More information

Data Warehouses and Business Intelligence ITP 487 (3 Units) Fall 2013. Objective

Data Warehouses and Business Intelligence ITP 487 (3 Units) Fall 2013. Objective Data Warehouses and Business Intelligence ITP 487 (3 Units) Objective Fall 2013 While the increased capacity and availability of data gathering and storage systems have allowed enterprises to store more

More information

Business Intelligence In SAP Environments

Business Intelligence In SAP Environments Business Intelligence In SAP Environments BARC Business Application Research Center 1 OUTLINE 1 Executive Summary... 3 2 Current developments with SAP customers... 3 2.1 SAP BI program evolution... 3 2.2

More information

Course Overview. Course Learning Objectives

Course Overview. Course Learning Objectives TCMG-506-6R1 University of Bridgeport Technology Management Advanced Program and Project Management ---------------------------------------------------------------------------------------------------------------------

More information

By Makesh Kannaiyan makesh.k@sonata-software.com 8/27/2011 1

By Makesh Kannaiyan makesh.k@sonata-software.com 8/27/2011 1 Integration between SAP BusinessObjects and Netweaver By Makesh Kannaiyan makesh.k@sonata-software.com 8/27/2011 1 Agenda Evolution of BO Business Intelligence suite Integration Integration after 4.0 release

More information

PMP,CQA,CQE,CQM, CIRM

PMP,CQA,CQE,CQM, CIRM TCMG 505DL Project Management University of Bridgeport TCMG Programs Fall 2014 Semester Tuesday, 6:15PM - 8:45PM 8/26/14 12/9/14 Location: On-Line via Canvas Dr. Mike Okrent, PMP,CQA,CQE,CQM, CIRM ; 203-530-3801;

More information

Tiber Solutions. Understanding the Current & Future Landscape of BI and Data Storage. Jim Hadley

Tiber Solutions. Understanding the Current & Future Landscape of BI and Data Storage. Jim Hadley Tiber Solutions Understanding the Current & Future Landscape of BI and Data Storage Jim Hadley Tiber Solutions Founded in 2005 to provide Business Intelligence / Data Warehousing / Big Data thought leadership

More information

QlikView Business Discovery Platform. Algol Consulting Srl

QlikView Business Discovery Platform. Algol Consulting Srl QlikView Business Discovery Platform Algol Consulting Srl Business Discovery Applications Application vs. Platform Application Designed to help people perform an activity Platform Provides infrastructure

More information

Armanino McKenna LLP Welcomes You To Today s Webinar:

Armanino McKenna LLP Welcomes You To Today s Webinar: Armanino McKenna LLP Welcomes You To Today s Webinar: Business Intelligence Are You Data Rich & Information Poor? The presentation will begin in a few moments About the Presenter(s) John Horner, Director

More information

Business Intelligence and Analytics SCH-MGMT 553 (New course number being proposed) Tu/Th 11:15 AM 12:30 PM in SOM Lab 20

Business Intelligence and Analytics SCH-MGMT 553 (New course number being proposed) Tu/Th 11:15 AM 12:30 PM in SOM Lab 20 SCH-MGMT 553: Business Intelligence and Analytics - Syllabus Course Information Title Number Business Intelligence and Analytics SCH-MGMT 553 (New course number being proposed) Course dates Jan 18, 2011

More information

Powerful analytics. and enterprise security. in a single platform. microstrategy.com 1

Powerful analytics. and enterprise security. in a single platform. microstrategy.com 1 Powerful analytics and enterprise security in a single platform microstrategy.com 1 Make faster, better business decisions with easy, powerful, and secure tools to explore data and share insights. Enterprise-grade

More information

Data Mining, Predictive Analytics with Microsoft Analysis Services and Excel PowerPivot

Data Mining, Predictive Analytics with Microsoft Analysis Services and Excel PowerPivot www.etidaho.com (208) 327-0768 Data Mining, Predictive Analytics with Microsoft Analysis Services and Excel PowerPivot 3 Days About this Course This course is designed for the end users and analysts that

More information

Top 5 Analytics Applications in Financial Services

Top 5 Analytics Applications in Financial Services Top 5 Analytics Applications in Financial Services Learn how you can boost your bottom line, manage risk, and take action on your insights with the world s most comprehensive analytics platform. 5 game-changing

More information

The BIg Picture. Dinsdag 17 september 2013

The BIg Picture. Dinsdag 17 september 2013 The BIg Picture Dinsdag 17 september 2013 2 Agenda A short historical overview on BI Current Issues Current trends Future architecture First steps to this architecture 3 MIS/EIS Data Warehouse BI Multidimensional

More information

POLAR IT SERVICES. Business Intelligence Project Methodology

POLAR IT SERVICES. Business Intelligence Project Methodology POLAR IT SERVICES Business Intelligence Project Methodology Table of Contents 1. Overview... 2 2. Visualize... 3 3. Planning and Architecture... 4 3.1 Define Requirements... 4 3.1.1 Define Attributes...

More information

Ten Cornerstones of a Modern Data Warehouse Environment

Ten Cornerstones of a Modern Data Warehouse Environment Ten Cornerstones of a Modern Data Warehouse Environment May 2015 Mike Lamble, CEO Clarity Solution Group Business Analytics Data Clarity Solution Group Unique Perspective Largest US consultancy focused

More information

Successful BI Survey. Best practices in business intelligence for greater business impact. www.biscorecard.com. By Cindi Howson 2014 ASK LLC

Successful BI Survey. Best practices in business intelligence for greater business impact. www.biscorecard.com. By Cindi Howson 2014 ASK LLC www.biscorecard.com 2014 Successful BI Survey Best practices in business intelligence for greater business impact By Cindi Howson 2014 ASK LLC February 2014 Table of Contents Background... 4 Copyright

More information

Introduction to Business Intelligence

Introduction to Business Intelligence IBM Software Group Introduction to Business Intelligence Vince Leat ASEAN SW Group 2007 IBM Corporation Discussion IBM Software Group What is Business Intelligence BI Vision Evolution Business Intelligence

More information

Understanding the Value of In-Memory in the IT Landscape

Understanding the Value of In-Memory in the IT Landscape February 2012 Understing the Value of In-Memory in Sponsored by QlikView Contents The Many Faces of In-Memory 1 The Meaning of In-Memory 2 The Data Analysis Value Chain Your Goals 3 Mapping Vendors to

More information

CS 649 Database Management Systems. Fall 2011

CS 649 Database Management Systems. Fall 2011 SCHOOL OF BUSINESS, PUBLIC ADMINISTRATION AND INFORMATION SCIENCES LONG ISLAND UNIVERSITY, BROOKLYN CAMPUS DEPARTMENT OF COMPUTER SCIENCE CS 649 Database Management Systems Fall 2011 Course Schedule: Thursday

More information

SQL Server 2012 Business Intelligence Boot Camp

SQL Server 2012 Business Intelligence Boot Camp SQL Server 2012 Business Intelligence Boot Camp Length: 5 Days Technology: Microsoft SQL Server 2012 Delivery Method: Instructor-led (classroom) About this Course Data warehousing is a solution organizations

More information

Best Practices for Deploying Managed Self-Service Analytics and Why Tableau and QlikView Fall Short

Best Practices for Deploying Managed Self-Service Analytics and Why Tableau and QlikView Fall Short Best Practices for Deploying Managed Self-Service Analytics and Why Tableau and QlikView Fall Short Vijay Anand, Director, Product Marketing Agenda 1. Managed self-service» The need of managed self-service»

More information

How to Migrate From Existing BusinessObjects or Cognos Environments to MicroStrategy. Ani Jain January 29, 2014

How to Migrate From Existing BusinessObjects or Cognos Environments to MicroStrategy. Ani Jain January 29, 2014 How to Migrate From Existing BusinessObjects or Cognos Environments to MicroStrategy Ani Jain January 29, 2014 Agenda Case Studies Why BusinessObjects and Cognos Customers Upgrade to MicroStrategy Demo:

More information

Hemant Kulkarni MOBILE BI HYPE OR REAL NEED?

Hemant Kulkarni MOBILE BI HYPE OR REAL NEED? Hemant Kulkarni MOBILE BI HYPE OR REAL NEED? AGENDA WHY PEOPLE STILL FILL ITS HYPE? WHAT GARTNER HYPE CYCLE FOR EMERGING TRENDS SAYS? WHAT IS THE REALITY? MOBILE BI EVOLUTION MOBILE BI IS NOT JUST BI ON

More information

Reflections on Agile DW by a Business Analytics Practitioner. Werner Engelen Principal Business Analytics Architect

Reflections on Agile DW by a Business Analytics Practitioner. Werner Engelen Principal Business Analytics Architect Reflections on Agile DW by a Business Analytics Practitioner Werner Engelen Principal Business Analytics Architect Introduction Werner Engelen Active in BI & DW since 1998 + 6 years at element61 Previously:

More information

Bringing Cool into Your BI Portfolio Twitter: #coolbi. TDWI, November 2012 Cindi Howson Founder, BI Scorecard Contact: cindihowson@biscorecard.

Bringing Cool into Your BI Portfolio Twitter: #coolbi. TDWI, November 2012 Cindi Howson Founder, BI Scorecard Contact: cindihowson@biscorecard. Bringing Cool into Your BI Portfolio Twitter: #coolbi TDWI, November 2012 Cindi Howson Founder, BI Scorecard Contact: cindihowson@biscorecard.com 1 Biography Founder of BI Scorecard, with 20 years experience

More information

Advanced Database Management MISM Course F14-95704 A Fall 2014

Advanced Database Management MISM Course F14-95704 A Fall 2014 Advanced Database Management MISM Course F14-95704 A Fall 2014 Carnegie Mellon University Instructor: Randy Trzeciak Office: Software Engineering Institute / CERT CIC Office hours: By Appointment Phone:

More information

BI SURVEY 14. The world s largest survey of business intelligence software users

BI SURVEY 14. The world s largest survey of business intelligence software users THE BI SURVEY 14 The world s largest survey of business intelligence software users This document is a specially produced summary by BARC of the headline results for DUNDAS This document is not to be shared,

More information

Business Intelligence. Advanced visualization. Reporting & dashboards. Mobile BI. Packaged BI

Business Intelligence. Advanced visualization. Reporting & dashboards. Mobile BI. Packaged BI Data & Analytics 1 Data & Analytics Solutions - Overview Information Management Business Intelligence Advanced Analytics Data governance Data modeling & architecture Master data management Enterprise data

More information

Eric.kavanagh@bloorgroup.com. Twitter Tag: #briefr 8/14/12

Eric.kavanagh@bloorgroup.com. Twitter Tag: #briefr 8/14/12 Eric.kavanagh@bloorgroup.com Twitter Tag: #briefr 8/14/12 ! Reveal the essential characteristics of enterprise software, good and bad! Provide a forum for detailed analysis of today s innovative technologies!

More information

If you re serious about Business Intelligence, you need a BI Competency Centre

If you re serious about Business Intelligence, you need a BI Competency Centre If you re serious about Business Intelligence, you need a BI Competency Centre Michael Gibson Data Warehouse Manager Deakin University > > > > > > > > > The traditional Project Implementation model Project

More information

INTELLIGENT BUSINESS STRATEGIES WHITE PAPER

INTELLIGENT BUSINESS STRATEGIES WHITE PAPER INTELLIGENT BUSINESS STRATEGIES WHITE PAPER Improving Access to Data for Successful Business Intelligence Part 2: Supporting Multiple Analytical Workloads in a Changing Analytical Landscape By Mike Ferguson

More information

How SAP Business Intelligence Solutions provide real-time insight into your organization

How SAP Business Intelligence Solutions provide real-time insight into your organization How SAP Business Intelligence Solutions provide real-time insight into your organization 28 Oct 2015 Agenda 1) What is Business Intelligence (BI) 2) SAP BusinessObjects Features Overview 3) Demo & Report

More information

MIS636 AWS Data Warehousing and Business Intelligence Course Syllabus

MIS636 AWS Data Warehousing and Business Intelligence Course Syllabus MIS636 AWS Data Warehousing and Business Intelligence Course Syllabus I. Contact Information Professor: Joseph Morabito, Ph.D. Office: Babbio 419 Office Hours: By Appt. Phone: 201-216-5304 Email: jmorabit@stevens.edu

More information

Analytics 2014. Industry Trends Survey. Research conducted and written by:

Analytics 2014. Industry Trends Survey. Research conducted and written by: Analytics 2014 Industry Trends Survey Research conducted and written by: Lavastorm Analytics, the agile data management and analytics company trusted by enterprises seeking an analytic advantage. June

More information

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA

Applied Business Intelligence. Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Applied Business Intelligence Iakovos Motakis, Ph.D. Director, DW & Decision Support Systems Intrasoft SA Agenda Business Drivers and Perspectives Technology & Analytical Applications Trends Challenges

More information

Think bigger about business intelligence create an informed healthcare organization.

Think bigger about business intelligence create an informed healthcare organization. KNOWLEDGE DRIVEN HEALTH Think bigger about business intelligence create an informed healthcare organization. Help every healthcare professional contribute to better decision making. Help everyone in your

More information

Using SAP Master Data Technologies to Enable Key Business Capabilities in Johnson & Johnson Consumer

Using SAP Master Data Technologies to Enable Key Business Capabilities in Johnson & Johnson Consumer Using SAP Master Data Technologies to Enable Key Business Capabilities in Johnson & Johnson Consumer Terry Bouziotis: Director, IT Enterprise Master Data Management JJHCS Bob Delp: Sr. MDM Program Manager

More information

ISM540: Introduction to Business Intelligence

ISM540: Introduction to Business Intelligence ISM540: Introduction to Business Intelligence Credit Hours: 3 Contact Hours: This is a 3-credit course, offered in accelerated format. This means that 16 weeks of material is covered in 8 weeks. The exact

More information

Technical Management Strategic Capabilities Statement. Business Solutions for the Future

Technical Management Strategic Capabilities Statement. Business Solutions for the Future Technical Management Strategic Capabilities Statement Business Solutions for the Future When your business survival is at stake, you can t afford chances. So Don t. Think partnership think MTT Associates.

More information

PENN STATE - ERIE, BLACK School of Business MIS 445 (4 CR):Business Intelligence: Fall 2011, Ido Millet

PENN STATE - ERIE, BLACK School of Business MIS 445 (4 CR):Business Intelligence: Fall 2011, Ido Millet PENN STATE - ERIE, BLACK School of Business MIS 445 (4 CR):Business Intelligence: Fall 2011, Ido Millet Office (REDC #292) Hours: Tuesday 2:30 3:45 Wednesday 1:00 3:30 Office: (814) 898-6262 Home: (814)

More information

BI Maturity How Mature Is Your Organization?

BI Maturity How Mature Is Your Organization? BI Maturity How Mature Is Your Organization? Presented by Faun dehenry President & CEO faun@fmtsystems.com processconnectionsblog.com Agenda Welcome Introductions BI maturity definition Trends Different

More information

Faun dehenry FMT Systems Inc. faun.dehenry@fmtsystems.com. 2001-9, FMT Systems Inc. All rights reserved.

Faun dehenry FMT Systems Inc. faun.dehenry@fmtsystems.com. 2001-9, FMT Systems Inc. All rights reserved. Assessing BI Readiness Faun dehenry FMT Systems Inc. faun.dehenry@fmtsystems.com Agenda Introduction What is BI Organizational considerations Successful implementations BI assessment defined and assessment

More information

ISQS 3358 BUSINESS INTELLIGENCE FALL 2014

ISQS 3358 BUSINESS INTELLIGENCE FALL 2014 ISQS 3358 BUSINESS INTELLIGENCE FALL 2014 Instructor: Dr. Miguel. I. Aguirre-Urreta, Ph.D. Office: BA E322 Phone: 806.834.0765 Email: miguel.aguirre-urreta@ttu.edu Office Hours Tuesdays and Thursdays from

More information

A business intelligence agenda for midsize organizations: Six strategies for success

A business intelligence agenda for midsize organizations: Six strategies for success IBM Software Business Analytics IBM Cognos Business Intelligence A business intelligence agenda for midsize organizations: Six strategies for success A business intelligence agenda for midsize organizations:

More information

Preferred Strategies: Business Intelligence for JD Edwards

Preferred Strategies: Business Intelligence for JD Edwards Preferred Strategies: Business Intelligence for JD Edwards For the fourth year in a row, Business Intelligence software tops the list for IT investments according to Gartner Research. If you are not currently

More information

QlikView, Creating Business Discovery Application using HDP V1.0 March 13, 2014

QlikView, Creating Business Discovery Application using HDP V1.0 March 13, 2014 QlikView, Creating Business Discovery Application using HDP V1.0 March 13, 2014 Introduction Summary Welcome to the QlikView (Business Discovery Tools) tutorials developed by Qlik. The tutorials will is

More information

Business Intelligence and Healthcare

Business Intelligence and Healthcare Business Intelligence and Healthcare SUTHAN SIVAPATHAM SENIOR SHAREPOINT ARCHITECT Agenda Who we are What is BI? Microsoft s BI Stack Case Study (Healthcare) Who we are Point Alliance is an award-winning

More information

BI SURVEY. Tableau in The BI Survey THE. This document is a specially produced summary by BARC of the headline results for Tableau

BI SURVEY. Tableau in The BI Survey THE. This document is a specially produced summary by BARC of the headline results for Tableau THE 1 BI SURVEY 13 The Customer Verdict The world s largest survey of business intelligence software users This document is a specially produced summary by BARC of the headline results for Tableau Tableau

More information

BI Market Dynamics and Future Directions

BI Market Dynamics and Future Directions Inaugural Keynote Address Business Intelligence Conference Nov 19, 2011, New Delhi BI Market Dynamics and Future Directions Shashikant Brahmankar Head Business Intelligence & Analytics, HCL Content Evolution

More information

COURSE SYLLABUS COURSE TITLE:

COURSE SYLLABUS COURSE TITLE: 1 COURSE SYLLABUS COURSE TITLE: FORMAT: CERTIFICATION EXAMS: 55043AC Microsoft End to End Business Intelligence Boot Camp Instructor-led None This course syllabus should be used to determine whether the

More information

HARNESS IT. An introduction to business intelligence solutions. THE SITUATION THE CHALLENGES THE SOLUTION THE BENEFITS

HARNESS IT. An introduction to business intelligence solutions. THE SITUATION THE CHALLENGES THE SOLUTION THE BENEFITS HARNESS IT. An introduction to business intelligence solutions. THE SITUATION THE CHALLENGES THE SOLUTION THE BENEFITS THE SITUATION Data is growing exponentially in size and complexity. Traditional analytics

More information

Business Intelligence and Analytics: Leveraging Information for Value Creation and Competitive Advantage

Business Intelligence and Analytics: Leveraging Information for Value Creation and Competitive Advantage PRACTICES REPORT BEST PRACTICES SURVEY: AGGREGATE FINDINGS REPORT Business Intelligence and Analytics: Leveraging Information for Value Creation and Competitive Advantage April 2007 Table of Contents Program

More information

INVESTOR PRESENTATION. First Quarter 2014

INVESTOR PRESENTATION. First Quarter 2014 INVESTOR PRESENTATION First Quarter 2014 Note to Investors Certain non-gaap financial information regarding operating results may be discussed during this presentation. Reconciliations of the differences

More information

Effective Practices for Fully Online and Blended Courses

Effective Practices for Fully Online and Blended Courses Effective Practices for Fully Online and Blended Courses Initial Course Development Below are some tips and strategies for initial development and conceptualization of your course: Blueprint your course.

More information

SAP BusinessObjects SOLUTIONS FOR ORACLE ENVIRONMENTS

SAP BusinessObjects SOLUTIONS FOR ORACLE ENVIRONMENTS SAP BusinessObjects SOLUTIONS FOR ORACLE ENVIRONMENTS BUSINESS INTELLIGENCE FOR ORACLE APPLICATIONS AND TECHNOLOGY SAP Solution Brief SAP BusinessObjects Business Intelligence Solutions 1 SAP BUSINESSOBJECTS

More information

Business Intelligence for the Modern Utility

Business Intelligence for the Modern Utility Business Intelligence for the Modern Utility Presented By: Glenn Wolf, CISSP (Certified Information Systems Security Professional) Senior Consultant Westin Engineering, Inc. Boise, ID September 15 th,

More information

Analytics for Business, Consumers and Social Insights

Analytics for Business, Consumers and Social Insights Singapore Management University Institutional Knowledge at Singapore Management University Library Events SMU Library 7-2015 Analytics for Business, Consumers and Social Insights Bhavish SOOD Gartner Follow

More information

5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014

5 Keys to Unlocking the Big Data Analytics Puzzle. Anurag Tandon Director, Product Marketing March 26, 2014 5 Keys to Unlocking the Big Data Analytics Puzzle Anurag Tandon Director, Product Marketing March 26, 2014 1 A Little About Us A global footprint. A proven innovator. A leader in enterprise analytics for

More information

BI Platforms User Survey, 2011: Customers Rate Their BI Platform Vendors

BI Platforms User Survey, 2011: Customers Rate Their BI Platform Vendors BI Platforms User Survey, 2011: Customers Rate Their BI Platform Vendors Gartner RAS Core Research Note G00211769, Rita L. Sallam, 4 April 2011, RA1 07132011 Gartner recently surveyed business intelligence

More information

Creating an Enterprise Reporting Bus with SAP BusinessObjects

Creating an Enterprise Reporting Bus with SAP BusinessObjects September 10-13, 2012 Orlando, Florida Creating an Enterprise Reporting Bus with SAP BusinessObjects Kevin McManus LaunchWorks Session : 0313 Learning Points By consolidating people, process, data and

More information

Session 805 -End-to-End SAP Lumira: Desktop to On-Premise, Cloud, and Mobile

Session 805 -End-to-End SAP Lumira: Desktop to On-Premise, Cloud, and Mobile September 9 11, 2013 Anaheim, California Session 805 -End-to-End SAP Lumira: Desktop to On-Premise, Cloud, and Mobile Ashish C. Morzaria, SAP Disclaimer This presentation outlines our general product direction

More information

Introduction to Oracle Business Intelligence Standard Edition One. Mike Donohue Senior Manager, Product Management Oracle Business Intelligence

Introduction to Oracle Business Intelligence Standard Edition One. Mike Donohue Senior Manager, Product Management Oracle Business Intelligence Introduction to Oracle Business Intelligence Standard Edition One Mike Donohue Senior Manager, Product Management Oracle Business Intelligence The following is intended to outline our general product direction.

More information

Title Business Intelligence: A Discussion on Platforms, Technologies, and solutions

Title Business Intelligence: A Discussion on Platforms, Technologies, and solutions Title Business Intelligence: A Discussion on Platforms, Technologies, and solutions Overview The main thrust of the tutorial is to compare and contrast Business Intelligence (BI) Platforms to develop business

More information

Introduction to Business Intelligence

Introduction to Business Intelligence Introduction to Business Intelligence Urban Ask Centrum för Affärssystem Gruppen för Ekonomistyrning Agenda I t t i BI Interest in BI Definitions Drivers Vendors and market Some predictions 1 Increasing

More information

Common Situations. Departments choosing best in class solutions for their specific needs. Lack of coordinated BI strategy across the enterprise

Common Situations. Departments choosing best in class solutions for their specific needs. Lack of coordinated BI strategy across the enterprise Common Situations Lack of coordinated BI strategy across the enterprise Departments choosing best in class solutions for their specific needs Acquisitions of companies using different BI tools 2 3-5 BI

More information

redesigning the data landscape to deliver true business intelligence Your business technologists. Powering progress

redesigning the data landscape to deliver true business intelligence Your business technologists. Powering progress redesigning the data landscape to deliver true business intelligence Your business technologists. Powering progress The changing face of data complexity The storage, retrieval and management of data has

More information

Business Analytics and Data Visualization. Decision Support Systems Chattrakul Sombattheera

Business Analytics and Data Visualization. Decision Support Systems Chattrakul Sombattheera Business Analytics and Data Visualization Decision Support Systems Chattrakul Sombattheera Agenda Business Analytics (BA): Overview Online Analytical Processing (OLAP) Reports and Queries Multidimensionality

More information

Analytics 2013. A survey on analytic usage, trends, and future initiatives. Research conducted and written by:

Analytics 2013. A survey on analytic usage, trends, and future initiatives. Research conducted and written by: Analytics 2013 A survey on analytic usage, trends, and future initiatives Research conducted and written by: Lavastorm Analytics A global analytics software company that enables a new, agile way to analyze,

More information

MIS630 Data and Knowledge Management Course Syllabus

MIS630 Data and Knowledge Management Course Syllabus MIS630 Data and Knowledge Management Course Syllabus I. Contact Information Professor: Joseph Morabito, Ph.D. Office: Babbio 419 Office Hours: By Appt. Phone: 201.216.5304 Email: jmorabit@stevens.edu II.

More information

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS!

IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS! The Bloor Group IBM AND NEXT GENERATION ARCHITECTURE FOR BIG DATA & ANALYTICS VENDOR PROFILE The IBM Big Data Landscape IBM can legitimately claim to have been involved in Big Data and to have a much broader

More information

ISM 4210: DATABASE MANAGEMENT

ISM 4210: DATABASE MANAGEMENT GENERAL INFORMATION: ISM 4210: DATABASE MANAGEMENT COURSE SYLLABUS Class Times: Tuesday, Thursday 9:35 11:30 AM Class Location: HVNR 240 Professor: Dr. Aditi Mukherjee Office; Phone: STZ 360, 39-20648

More information

Microsoft Dynamics AX. Reporting and Business Intelligence in Microsoft Dynamics AX

Microsoft Dynamics AX. Reporting and Business Intelligence in Microsoft Dynamics AX INSIGHT Microsoft Dynamics AX Reporting and Business Intelligence in Microsoft Dynamics AX White Paper A roadmap for managing business performance with Microsoft Dynamics AX Date: September 2006 http://www.microsoft.com/dynamics/ax/

More information

ERP 5210 Performance Dashboards, Scorecard, and Data Visualization Course Syllabus Spring 2015

ERP 5210 Performance Dashboards, Scorecard, and Data Visualization Course Syllabus Spring 2015 ERP 5210 Performance Dashboards, Scorecard, and Data Visualization Course Syllabus Spring 2015 Department of Business & Information Technology Mission Capitalizing on the strong technological emphasis

More information

Agile BI With SQL Server 2012

Agile BI With SQL Server 2012 Agile BI With SQL Server 2012 Agenda About GNet Group Level set on components of a BI solution The Microwave Society Evolution & Change Approaches to BI Classic Agile Blend of both approaches Agility with

More information

Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff

Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff The Challenge IT Executives are challenged with issues around data, compliancy, regulation and making confident decisions on their business

More information

Psychology 125- Psychology of Aging ONLINE Saddleback College Fall 2011. Course Description and Objectives

Psychology 125- Psychology of Aging ONLINE Saddleback College Fall 2011. Course Description and Objectives Professor Michelle Worley, M. A. Email: mworley@saddleback.edu Psychology 125- Psychology of Aging ONLINE Saddleback College Fall 2011 Course Description and Objectives This is a lower division developmental

More information

Course 10977A: Updating Your SQL Server Skills to Microsoft SQL Server 2014

Course 10977A: Updating Your SQL Server Skills to Microsoft SQL Server 2014 www.etidaho.com (208) 327-0768 Course 10977A: Updating Your SQL Server Skills to Microsoft SQL Server 2014 5 Days About this Course This five day instructor led course teaches students how to use the enhancements

More information

Master Data Management The Nationwide Experience. Lance Dacre Director, Data Governance

Master Data Management The Nationwide Experience. Lance Dacre Director, Data Governance Master Data Management The Nationwide Experience Lance Dacre Director, Data Governance Agenda Finance FOCUS project Master Data Management Data Governance Assessment of Finance Function Availability of

More information

Microsoft Excel, other vendors personal desktop reporting tools

Microsoft Excel, other vendors personal desktop reporting tools Microsoft BI Semantic Models, SAP BO Universes, IBM Cognos Frameworks, Tableau TDEs Microsoft SharePoint, SAP Portal, IBM Cognos Connection, other vendors reporting portals Microsoft Excel, other vendors

More information

WELCOME AND GOOD MORNING! DATA BUSINESS PARTNER WORKING WITH DATA GRAPHICALLY THE REAL FACE OF BIG DATA ANALYTICS

WELCOME AND GOOD MORNING! DATA BUSINESS PARTNER WORKING WITH DATA GRAPHICALLY THE REAL FACE OF BIG DATA ANALYTICS WELCOME AND GOOD MORNING! DATA BUSINESS PARTNER WORKING WITH DATA GRAPHICALLY THE REAL FACE OF BIG DATA ANALYTICS Steve Frederick Business Intelligence Evangelist Information Builders 1 What is Big Data

More information

Florida Gulf Coast University Lutgert College of Business Marketing Department MAR3503 Consumer Behavior Spring 2015

Florida Gulf Coast University Lutgert College of Business Marketing Department MAR3503 Consumer Behavior Spring 2015 Course name: Class schedule: Course mode: Classroom: Lutgert Hall, Room 2208 CRN: 10141 Consumer Behavior Tuesday & Thursday, 9:30 AM 10:45 AM On campus, face-to-face meetings Credit hours: 3 Final exam:

More information

Extend your analytic capabilities with SAP Predictive Analysis

Extend your analytic capabilities with SAP Predictive Analysis September 9 11, 2013 Anaheim, California Extend your analytic capabilities with SAP Predictive Analysis Charles Gadalla Learning Points Advanced analytics strategy at SAP Simplifying predictive analytics

More information

BIG DATA COURSE 1 DATA QUALITY STRATEGIES - CUSTOMIZED TRAINING OUTLINE. Prepared by:

BIG DATA COURSE 1 DATA QUALITY STRATEGIES - CUSTOMIZED TRAINING OUTLINE. Prepared by: BIG DATA COURSE 1 DATA QUALITY STRATEGIES - CUSTOMIZED TRAINING OUTLINE Cerulium Corporation has provided quality education and consulting expertise for over six years. We offer customized solutions to

More information

Enterprise Solutions. Data Warehouse & Business Intelligence Chapter-8

Enterprise Solutions. Data Warehouse & Business Intelligence Chapter-8 Enterprise Solutions Data Warehouse & Business Intelligence Chapter-8 Learning Objectives Concepts of Data Warehouse Business Intelligence, Analytics & Big Data Tools for DWH & BI Concepts of Data Warehouse

More information

QA Tools (QTP, QC/ALM), ETL Testing, Selenium, Mobile, Unix, SQL, SOAP UI

QA Tools (QTP, QC/ALM), ETL Testing, Selenium, Mobile, Unix, SQL, SOAP UI QA Tools (QTP, QC/ALM), ETL Testing, Selenium, Mobile, Unix, SQL, SOAP UI From Length: Approx 7-8 weeks/70+ hours Audience: Students with knowledge of manual testing Student Location To students from around

More information

COMM 437 DATABASE DESIGN AND ADMINISTRATION

COMM 437 DATABASE DESIGN AND ADMINISTRATION COMM 437 DATABASE DESIGN AND ADMINISTRATION If you are reading this, you would have already read countless articles about the power of information in improving decision making, enhancing strategic position

More information

SAP Business Objects BO BI 4.1

SAP Business Objects BO BI 4.1 SAP Business Objects BO BI 4.1 SAP Business Objects (a.k.a. BO, BOBJ) is an enterprise software company, specializing in business intelligence (BI). Business Objects was acquired in 2007 by German company

More information

Migrating Discoverer to OBIEE Lessons Learned. Presented By Presented By Naren Thota Infosemantics, Inc.

Migrating Discoverer to OBIEE Lessons Learned. Presented By Presented By Naren Thota Infosemantics, Inc. Migrating Discoverer to OBIEE Lessons Learned Presented By Presented By Naren Thota Infosemantics, Inc. Professional Background Partner/OBIEE Architect at Infosemantics, Inc. Experience with BI solutions

More information

TRENDS IN THE DEVELOPMENT OF BUSINESS INTELLIGENCE SYSTEMS

TRENDS IN THE DEVELOPMENT OF BUSINESS INTELLIGENCE SYSTEMS 9 8 TRENDS IN THE DEVELOPMENT OF BUSINESS INTELLIGENCE SYSTEMS Assist. Prof. Latinka Todoranova Econ Lit C 810 Information technology is a highly dynamic field of research. As part of it, business intelligence

More information

SYLLABUS CIS 3660: OBJECT-ORIENTED SYSTEM ANALYSIS AND DESIGN SPRING 2010

SYLLABUS CIS 3660: OBJECT-ORIENTED SYSTEM ANALYSIS AND DESIGN SPRING 2010 SYLLABUS CIS 3660: OBJECT-ORIENTED SYSTEM ANALYSIS AND DESIGN SPRING 2010 Instructor: Dr. Silvana Faja Office: WDE 2400 Office Hours: 9:30 10:45 and 1:30 3:00, Tuesday and Thursday and by appointment Office

More information

Sumit Sarkar Real-time BO Universe to Cloud Data Sources Session #

Sumit Sarkar Real-time BO Universe to Cloud Data Sources Session # Sumit Sarkar Real-time BO Universe to Cloud Data Sources Session # EXPERIENCE Talk to BI communities across SAP, Oracle, IBM, Microstrategy, Tableau, Tibco and Qlikview. Advocate for BI professionals at

More information

Request for Information OBIFS Implementation with Exalytics (Discoverer Retirement)

Request for Information OBIFS Implementation with Exalytics (Discoverer Retirement) Request for Information OBIFS Implementation with Exalytics (Discoverer Retirement) Prepared By: Scott W. Tujo, Director of EFS Specification No: 15-350013 Document Version: 3.1 Date: January 28, 2015

More information

Top 10 Trends In Business Intelligence for 2007

Top 10 Trends In Business Intelligence for 2007 W H I T E P A P E R Top 10 Trends In Business Intelligence for 2007 HP s New Information Management Practice Table of contents Trend #1: BI Governance: Ensuring the Effectiveness of Programs and Investments

More information