Business Intelligence Design and Development Michael A. Fudge, Jr.

Slides:



Advertisements
Similar presentations
1. Complete and integrated BI and Performance Management offering Complete and integrated BI and Performance Management offering Widespread delivery of.
Advertisements

Irwin/McGraw-Hill Copyright © 2000 The McGraw-Hill Companies. All Rights reserved Whitten Bentley DittmanSYSTEMS ANALYSIS AND DESIGN METHODS5th Edition.
Purpose: These slides are for use with customers by the Microsoft Dynamics NAV sales force and partners. How to use: Add these slides to the core customer.
Pentaho Open Source BI Goldwin. Pentaho Overview Pentaho is the commercial open source software for Business Pentaho is the commercial open source software.
© 2014 Fair Isaac Corporation. Confidential. This presentation is provided for the recipient only and cannot be reproduced or shared without Fair Isaac.
DECISION SUPPORT SYSTEMS AND BUSINESS INTELLIGENCE
MS DB Proposal Scott Canaan B. Thomas Golisano College of Computing & Information Sciences.
IST722 Data Warehousing Technical Architecture Michael A. Fudge, Jr. * Figures taken from Kimball Ch. 4.
Query, Analysis and Reporting Tools Brian BALSER Lamia BENKIRANE Jeralyn PASINABO Dave WILSON MBA 664 April, the 13 th, 2009.
Business Intelligence System September 2013 BI.
Business Intelligence: Essential of Business
Navision Business Analytics Joyce Leung, Partner Technology Specialist.
Class 11 Decision Making, Decision Support Systems, & Executive Information Systems MIS 2000Decision Making and Information Systems.
DASHBOARDS Dashboard provides the managers with exactly the information they need in the correct format at the correct time. BI systems are the foundation.
Microsoft Office SharePoint Server Business Intelligence Tom Rizzo Director, Microsoft Office SharePoint Server
Chapter 2: Business Intelligence Capabilities
What is Business Intelligence? Business intelligence (BI) –Range of applications, practices, and technologies for the extraction, translation, integration,
IST722 Data Warehousing Business Intelligence Design and Development Michael A. Fudge, Jr.
Enterprise 2.0 Portals Using portals as web browsers Ensuring continued interest by internal users Creative design techniques and navigating content Consistent.
1.Knowledge management 2.Online analytical processing 3. 4.Supply chain management 5.Data mining Which of the following is not a major application.
Chapter 7: Business Intelligence Tools and Vendors
Data Warehousing at STC MSIS 2007 Geneva, May 8-10, 2007 Karen Doherty Director General Informatics Branch Statistics Canada.
CISB594 – Business Intelligence
Presentation Outline (hidden slide) Technical Level: 100 Intended Audience: TDMs, ITPros, ITDMs, BI specialists Objectives (what do you want the audience.
OLAP Theory-English version On-Line Analytical processing (Business Intelligence) [Ing.J.Skorkovský,CSc.] Department of corporate economy.
Business Intelligence (BI) Primer BI Tools in SharePoint 2010 Excel Services Performance Point Services.
Introduction to SQL Server Data Mining Nick Ward SQL Server & BI Product Specialist Microsoft Australia Nick Ward SQL Server & BI Product Specialist Microsoft.
Bjarne Berg and Ben Perego March 20 th, 2006 Decision Support - What is new? An overview presentation University of North Carolina at Charlotte.
CISB594 – Business Intelligence Business 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.
Introduction – Addressing Business Challenges Microsoft® Business Intelligence Solutions.
Advanced Reporting Concepts Philip Yuen Program Manager Microsoft Office Project.
Datawarehouse A sneak preview. 2 Data Warehouse Approach An old idea with a new interest: Cheap Computing Power Special Purpose Hardware New Data Structures.
Building Dashboards SharePoint and Business Intelligence.
© SAP SE ZR Reporting Abstract This unit focuses on different reporting techniques as supported by the SAP software and SAP Business Intelligence. It is.
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.
Cognos 8: Software for Management Information System.
1 Copyright © 2008, Oracle. All rights reserved. Repository Basics.
OLAP Theory-English version On-Line Analytical processing (Buisness Intelligence) Ing.Skorkovský,CSc Department of Corporate Economy Faculty of Economics.
Popular Database Management Systems
NAVCube Analytics for Business
Raising your BI IQ—How Business Intelligence Impacts IR
Leveraging the Business Intelligence Features in SharePoint 2010
Discovering Computers 2010: Living in a Digital World Chapter 14
Business Intelligence & Data Warehousing
Gabe Cano, Altarum Institute  Mark Perry, Altarum Institute 
IST722 Data Warehousing Master Data Management and Data Governance
Chapter 7: Business Intelligence Tools and Vendors
Navision Business Analytics
ENHANCING MANAGEMENT DECISION MAKING
Business Intelligence
Systems Analysis – ITEC 3155 Evaluating Alternatives for Requirements, Environment, and Implementation.
IBM Content and Predictive Analytics for Healthcare How it works
Balanced Scorecard Designer
Datamining : Refers to extracting or mining knowledge from large amounts of data Applications : Market Analysis Fraud Detection Customer Retention Production.
Data Warehouse.
Business Intelligence
Microsoft SQL Server 2008 Reporting Services
Components of the Data Warehouse Michael A. Fudge, Jr.
Performance Management Microsoft Office PerformancePoint Server 2007
An Introduction to Data Warehousing
Analytics in the Cloud using Microsoft Azure
Introduction of Week 9 Return assignment 5-2
Business Intelligence
Data Warehousing Concepts
Enabling the Organization – Decision Making
Technical Architecture
Business Intelligence
Implementing a Distributed Enterprise Architecture to Deliver BI
Presentation transcript:

Business Intelligence Design and Development Michael A. Fudge, Jr. IST722 Data Warehousing Business Intelligence Design and Development Michael A. Fudge, Jr.

Recall: Kimball Lifecycle Describes an approach for data warehouse projects

What do you think Business Intelligence means? When you think of BI, what pops into your head?

BI Defined… Inmon Kimball With whom do you agree? “Systems that help make companies understand what makes the wheels of the corporation turn and to help predict the future impact of decisions.” “A generic term to describe leveraging the organization’s internal and externals information assets to support improved business decision making.” With whom do you agree?

Are these “BI”? Four Ways to Slice Obama’s 2013 Budget Proposal https://www.nytimes.com/interactive/2012/02/13/us/politics/2013- budget-proposal-graphic.html?_r=0 Tale of 100 Entrepreneurs http://www.tableausoftware.com/public/gallery/taleof100 iSchool Class Schedule http://my.ischool.syr.edu/ClassSchedule/ Linux Kernel Activity https://github.com/torvalds/linux/graphs Answer to all of these is “yes”

BI Components

BI Players…

Types of BI Applications… Direct Access Query + Reporting Data Mining Standard Reports Analytic Applications Dashboards and Scorecards Operational BI

Types Of BI Applications and Consumer Modes…

Direct Access Query & Reporting Tools Power users have access to software and the dimensional model for writing their own queries. 4 Key Functions of these tools: Query Formulation – assist with data queries Analysis & Presentation Capabilities – placing the data in “presentation quality” format. User Experience – Metadata access, easy to use, prevent misuse of data. Technical Features – Multitasking, Scheduling, Import / Export. Examples: MS Excel, Hyperion

Standard Reports The basic end of the BI Spectrum. Canned reports with pre-defined output. Some reports are parameter-based. Examples: MS Reporting Services, Hyperion Workspace

Example: Reporting Tool (Hyperion)

Example: Reports (SQL Reporting Services)

Analytic Applications Targeted at specific business processes Encapsulate domain-specific expertise Can be purchased pre-built from vendors Implementations of Data Mining / Machine Learning. Examples: Web path analysis Shelf Space Planning Fraud Detection

Data Mining A process of data exploration with the intent to find patterns or relationships of organizational value. Uses: Clustering & Classifying data – “customer 1 is type A, customer 2 is type B” Estimating and predicting – “customer type A will spend $N this year.” Affinity Grouping – “customers who by product X are also likely to buy product Y” Anomaly Detection – Fraud detection, unusual patterns

Data Mining Case Study New York Times “How Companies Learn Your Secrets” https://www.nytimes.com/2012/02/19/magazine/shopping- habits.html Video: http://nyti.ms/16ZgJcN

Dashboard & Scorecards Originally executive interfaces, now organization-wide. Provide a high-density & information-rich visual representation of data. Usually web-based and interactive. Contain KPI’s (Key performance Indicators) for measuring goals. As much of an organizational challenge as it is a technical one…

Example: Dashboard

Operational BI As the name implies, BI targeted at the operational level. Sometimes called “real-time” BI, due to the fact it operates on transactional data. Examples: Call centers can use it to obtain timely information regarding the customer on the line. Analyzing event data from servers to diagnose issues.

The BI Portal Provides access to BI Applications + Data Security can be setup to restrict access. Makes it easier to navigate a large BI implementation Requirements of a portal: Useable – Easy to find what you need. Content Rich – Reports and More Clean – Simple design not overwhelming Current – New content often Interactive – Browse data, customization for relevance Value oriented – Users need to see value in it

SU Myslice Portal Useable Content Rich Clean Current Interactive Value oriented

Analytic Cycle for BI Analysis Monitor Activity Identify Expectations Determine Causal Factors Model Alternatives Take Action and Track Results A Model for BI Development Improve BI through feedback This helps us : Understand how our users will use BI Determine the tools we must provide to make their experience positive & productive

Summary Business intelligence is part of the front-room architecture accessible by users. There are a variety of BI applications to suit different types of users within the organization. To be successful, BI must be Useable, Content-Rich, Clean, Current, Interactive, and Value-Oriented BI development is cyclical and you need to solicit input and feedback from users. BI should be useful and easy to use.

Business Intelligence Design and Development Michael A. Fudge, Jr. IST722 Data Warehousing Business Intelligence Design and Development Michael A. Fudge, Jr.