Introduction to Decision Sciences

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Presentation transcript:

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

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

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

Agenda Introduction to Decision Sciences Business Intelligence Presentations Business Intelligence

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

Business Intelligence Agenda Introduction to Decision Sciences Presentations Business Intelligence

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"

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

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 . . .

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

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

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

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