1. MGS 4020 Business Intelligence Introduction - Why Business Intelligence Jun 5, 2018

2. Introduction to Decision Sciences
Agenda
Introduction to Decision Sciences
Presentations
Business Intelligence

3. What is Decision Sciences
Grocery Industry
Kroger
Travel Industry
Delta SkyMiles
Marriott Rewards
Gambling Industry
MGM Mirage Players Club
The Mirage
Treasure Island
Bellagio
New York New York
MGM Grand
Retail Business
Best Buy
Circuit City
Macy

4. Agenda Introduction to Decision Sciences Business Intelligence
Presentations
Business Intelligence

5. Slide Tips
“How I learned to stop worrying and love PowerPoint”

6. Business Intelligence
Agenda
Introduction to Decision Sciences
Presentations
Business Intelligence

7. Business Intelligence
“Encompassing all aspects of collecting, deriving, analyzing, presenting and disseminating relevant business information to enable better business decisions and/or drive business processes"

8. Why Business Intelligence
Improve consistency and accuracy of reporting
Reduce stress on operational systems for reporting and analysis
Faster access to information
BI tools provide increased analytical capabilities
Empowering the Business User
Companies are realizing that data is a company’s most underutilized asset

9. Business Intelligence can include (but is not limited to):
Data Warehousing
KPIs
Reporting & Analysis
Forecasting & Budgeting
Dashboards
Information Delivery
Modeling
Analytical Applications
Portals
Extract, Transformation & Load
Competitor Analysis
Integration
Customer Intelligence / CRM
Corporate Performance Management
Workforce Analytics
OLAP
Balanced Scorecard
and more . . .

10. The Promise of Business Intelligence
Remove information gathering as the limiting step in the decision making process
Accelerate the rate at which managers and decision makers can physically process information
Provide Clarity, Insight and the Confidence to make a business decision

11. Business Intelligence & Data Warehouse
Internal Source Systems
Data Warehouse
Data Mart
Extract, Transformation and Load
External Data Sources
Business Intelligence

12. Metrics
A quantifiable measure of performance Allows for assessment and comparison
Allows for assessment and comparison
Revenue
Profit
Expenses
Number of Customer Calls
Number of Customer Complaints
Product Defects
Gross Margin Percent
Accidents per Mile Driven
Cost of Sales
Examples
Overhead Percent
Customer Churn
Employee Turnover
Return on Investment
Income per Capita
Capacity
Utilization
Average Bill Rate
Management Ratio

13. Dimensions
Textual, qualitative descriptors of the business used to focus and aggregate the view of metrics
Customer
Geographic Area
Time
(Year, Quarter, Month, etc.)
SalesPerson
Sales Organization
Business Unit
Competitors
Season
Division / Department
Business Sector
Sales Channel
SIC Code
Special Customer Group
Brand
Market Segment
Product Color
Marketing Campaign
Examples