Business Intelligence

Slides:



Advertisements
Similar presentations
Logi XML — Gartner Magic Quadrant for BI platforms 2013 leaders ability to execute completeness of vision Logi XML Tableau Software Tibco.
Advertisements

Business Intelligence (BI) Cody Schumacher, Jessyca Banks, Ken Hick.
Supporting End-User Access
Accessing Organizational Information—Data Warehouse
Magic Quadrants 1. Research Processes Behind Methodologies 2 Qualitative Insight Research Quantitative Market Research Magic Quadrants Market Scopes Hype.
Gartner Magic Quadrant Tool Ing.J.Skorkovský,CSc. Department of corporate economy MASARYK UNIVERSITY BRNO.
Database – Part 3 Dr. V.T. Raja Oregon State University External References/Sources: Data Warehousing – Mr. Sakthi Angappamudali.
Bill Hostmann Tutorial: Data Warehouse: Selecting the BI and ETL Products That Are Right for You! These materials can be reproduced only with Gartner’s.
Business Intelligence Chelsi Bauman, Brad Langton, Thomas Marcus April 18 th, 2007 Chelsi Bauman, Brad Langton, Thomas Marcus April 18 th, 2007.
Decision Support Chapter 10. Overview Databases are really information technology Decision Support is a business application that actually uses databases.
Database – Part 2b Dr. V.T. Raja Oregon State University External References/Sources: Data Warehousing – Sakthi Angappamudali at Standard Insurance; BI.
Business Intelligence Andrew Davis Andria Zippler Jana Krinsky Tiffany Ferris.
Business Driven Technology Unit 2
Business Driven Technology Unit 3 Streamlining Business Operations Copyright © 2015 McGraw-Hill Education. All rights reserved. No reproduction or distribution.
Business Intelligence: Essential of Business
Alok Srivastava Managing Organizations Informed decision making as a prerequisite for success Action Vision Mission Organizational Context Policies, Goals,
Business Intelligence
CIO Leader - 1. CIO Leader - 2 ITGI Research on Executives’ View of IT Investments The perceived low return from high-cost IT investments, and an inadequate.
Business Intelligence and Location Intelligence – A Perfect Fit! Chris Clarke, Director, Business Development - EMD.
GAINING INSIGHT TOUR 2007 Business Intelligence Shahid Gaglani Technology Specialist Microsoft Corporation.
Business Intelligence Megan Amberson Mallory Conger Tamara Day.
Business Intelligence
1. 2 Oracle + Hyperion Integrated Enterprise Performance Management System Provides industry’s first EPM System Align operational intelligence with strategy:
Module 3: Business Information Systems
BGS Customer Relationship Management Chapter 7 Database and Customer Data Development Chapter 7 Database and Customer Data Development Thomson Publishing.
What is Business Intelligence? Business intelligence (BI) –Range of applications, practices, and technologies for the extraction, translation, integration,
Efficient BI Solution Presented by: Leo Khaskin, PowerCubes Lab Value of Information as Business Asset.
Chapter 5 Lecture 2. Principles of Information Systems2 Objectives Understand Data definition language (DDL) and data dictionary Learn about popular DBMSs.
ENHANCING DECISION MAKING
Chapter 7: Business Intelligence Tools and Vendors
Reference: An Overview of Business Intelligence Technology, Communications of The ACM, August VOL 54 NO.8
Introduction to Business Intelligence
Gail Kosloff Services Marketing Director How to Have an Executive Level Services Conversation: Leverage Analyst Sales Tools.
Chapter 11 Business Intelligence Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall 11-1.
Corporate performance management
1 Reviewing Data Warehouse Basics. Lessons 1.Reviewing Data Warehouse Basics 2.Defining the Business and Logical Models 3.Creating the Dimensional Model.
Building Data and Document-Driven Decision Support Systems How do managers access and use large databases of historical and external facts?
Information systems and management in business Chapter 8 Business Intelligence (BI)
Organizing Data and Information
Chapter 5 DATA WAREHOUSING Study Sections 5.2, 5.3, 5.5, Pages: & Snowflake schema.
McGraw-Hill/Irwin ©2009 The McGraw-Hill Companies, All Rights Reserved CHAPTER 6 DATABASES AND DATA WAREHOUSES CHAPTER 6 DATABASES AND DATA WAREHOUSES.
Why BI….? Most companies collect a large amount of data from their business operations. To keep track of that information, a business and would need to.
Teradata Overview. 2 The Teradata Difference What We Do >Establish an enterprise view of the business >Integrate detailed, enterprise-wide data >Provide.
Business Intelligence Overview. What is Business Intelligence? Business Intelligence is the processes, technologies, and tools that help us change data.
Data Mining With SQL Server Data Tools Mining Data Using Tools You Already Have.
Chapter 3 Building Business Intelligence Chapter 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence 6/22/2016 1Management Information Systems.
Hossein Haghighat Sabet CRM Consultant |
Introduction to Gartner Inc.
The BI360 Business Intelligence Suite
Popular Database Management Systems
Pengantar Sistem Informasi
Accessing Organizational Information
Decision Support Systems
From BI to Big DatA.
Chapter 7: Business Intelligence Tools and Vendors
Webinar Optimize Your Business Applications Strategy
Fundamentals of Information Systems
Organizational Context
Business Intelligence
Business Intelligence
Gartner Magic Quadrant Tool
Supporting End-User Access
Data Warehouse.
Business Intelligence
Gartner Magic Quadrant Tool
Analytics, BI & Data Integration
Business Intelligence
ERP and Related Technologies
BUISNESS INTELLIGENCE BY MANSI PARMAR. What is Buisness Intelligence? The term Business Intelligence (BI) refers to technologies, applications and practices.
Decision Making Process
Presentation transcript:

Business Intelligence Megan Amberson Mallory Conger Tamara Day

What is Business Intelligence (BI)? “A set of business processes for collecting and analyzing business information. This includes the technology used in these processes, and the information obtained from these processes.” (Wikipedia.org)

What Counts? Various software programs have been developed to ease the work of gathering and analyzing large quantities of data.

EXAMPLE (Safeway Club Cards) BI Technology TERM DEFINITION EXAMPLE (Safeway Club Cards) Data Warehouse: A repository of integrated information from various sources, for queries and analysis. (Wikipedia.org) A summary of data collected from every Safeway card used in all Safeway stores. Data Mart: A subset of a data warehouse. Contains specific, predefined groups of data. (Wikipedia.org) Customers purchasing Pepsi and customers purchasing Doritos. Data Mining: Exploration of the data contained in data warehouses or marts in search of patterns. Do customers that purchase Pepsi also purchase Doritos?

Business Processes Example “Extending UML 2 Activity Diagrams With Business Intelligence Objects” (pg.10)

Finding Patterns in Data Many methods can be used to find usable data out of the volumes generated in today’s technology driven world. These can include: Decision Trees: has limited applicability and works best for classification tasks Genetic Algorithms: selection of data that best fits optimal criteria Nonlinear Regression Methods: based on searching for a dependence of the target variable on other variables. http://www.megaputer.com/dm/dm101.php3

Business Intelligence Companies (Gartner’s Magic Quadrant) SOURCE: http://mediaproducts.gartner.com/reprints/cognos/vol2/article2/article2.html Figure 1. Magic Quadrant for BI Platforms, 1Q06

Gartner’s Criteria for Evaluation (2) Ability to execute Product/Service: (HIGH) Overall Viability: (HIGH) Sales Execution/Pricing: (STANDARD) Market Responsiveness and Track Record: (LOW) Market Execution:. (LOW) Customer Experience: (HIGH) Operations: (STANDARD)

Gartner’s Criteria for Evaluation Completeness of Vision Market Understanding: (HIGH) Marketing Strategy: (STANDARD) Sales Strategy: (STANDARD) Product Strategy: (HIGH) Vertical/Industry Strategy: (LOW) Innovation: (HIGH) Geographic Strategy: (STANDARD)

What do the Quadrants Mean? Leaders (Global companies that offer a complete range of products) Visionaries (Market thought leader and innovator with gaps) Challengers (supplementing current business offerings) Niche Players (only offering a specific part of BI, not a complete package)

Profile of Companies and Products Microsoft Late to market mover, but going in right direction Actuate Good understanding of the market, but facing difficulty proving legitimacy Cognos #1 company in BI software and performance Hyperion Broad array of BI capabilities and good overall vision

Top 10 Trends in BI during 2006 Information Quality Master Data Management Data Governance Enterprise-Level BI Regulatory Compliance

Top 10 Trends in BI during 2006 Enterprise Data Transparency Actionable BI Service-oriented Architecture Rightshoring Semi-structured and Unstructured Data

The Future of BI Gartner’s Predictions for Year-End 2007 3 main continued trends -Consolidation -Strategic to Operational -More Sophisticated Analytics

QUESTIONS?????