Winning Strategies: Accelerating Growth & Profitability Through BI & Enterprise DW (First Edition)
Ronald Swift
Program Track:
The Bottom Line
Program Duration:
56 Minutes
Value Category:
Best practices
Key Issues:
How are companies using Business Intelligence (BI) and Enterprise Data Warehouse (EDW) strategies to make information much more valuable and achieve new levels of profitability and growth?
What are the market forces that drive business intelligence?
Is there a discussion on the evolution of BI within the enterprise?
What are the proven strategies for creating an ‘intelligent enterprise?'
Who is doing EDW, and what results have they achieved?
What business improvement opportunities are there by using BI and EDW?
Are there examples of world-class companies applying BI/EDW best practices?
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Architecture and Infrastructure
Business Applications
Business Management
Customer Relationship Management
Data Management
Most firms are buried in masses of data and are creating more and more data each day. Management is continually requiring answers to complex business questions and extending their opportunity to use information to ‘make things happen’ or ‘avoid resource misallocation.’ In this program, Author/Consultant Ron Swift describes the Business Intelligence (BI) and Enterprise Data Warehouse (EDW) strategies companies are using to make information much more valuable and achieve new levels of profitability and growth. Swift begins with an overview of the market forces that drive business intelligence, and then discusses the evolution of BI within the enterprise. Next, he details proven strategies for creating an ‘intelligent enterprise.’ Swift continues by describing who is doing EDW and the results they have achieved. He also focuses on business improvement opportunities using BI and EDW, and then defines a BI/EDW process for analyzing, forecasting, managing, and measuring. Throughout the program, Swift presents many examples of world-class companies who have achieved winning performance by applying BI/EDW best practices.
By watching this program, you will:
~ Learn how world-class companies are using business intelligence/EDW to achieve new levels of profitability and growth;
~ See how many firms, in many industries, have embraced not just new technology, but a focused strategy to achieve managerial intelligence;
~ Understand more about the world of integration of data from various systems and business units; and
~ Be able to define your present business intelligence and data resource maturity level; focus on the changes required to integrate your businesses; and enable your management team to make better, faster, and less risky decisions and investments.
Viewers of the CD and online versions of the program have easy access to Web links that include: ‘Customer Response, Retention and Valuation Concepts (RFM Model)’; ‘Data Mining and Modeling: Why Who Buys What Matters’; ‘Data Warehousing Lessons Learned: Active Data Warehousing Enables Integrated Business Intelligence’; ‘Factors for Implementing Active Data Warehousing’ and ‘To Be or Not To Be Centralized.’ White papers include: ‘Defying the Limits: Mastering High Performance CRM’; ‘Optimizing Customer Interactions and Marketing Analytics to Drive Peak ROI’; ‘The Power of Event-Based Marketing’; ‘The New Economic Opportunity for Business: Creating Increased Profitability Through CRM’ and ‘Show Me the ROI!.’
PROGRAM TOPICS:
INTRODUCTION
AGENDA
MARKET FORCES DRIVING BUSINESS INTELLIGENCE
Strategic Response to Market Forces
Five Stages in the Evolution of Business Intelligence
The Future of Business Intelligence: Real Time Infrastructures
Questions to Ask to Focus on the Potential of an Enterprise Data Warehouse Solution
EVOLUTION OF BUSINESS INTELLIGENCE, DATA WAREHOUSING AND ENTERPRISE DW
Case Study: Sears
Case Study: Ford Motor Company
THE INTELLIGENT ENTERPRISE
Various Approaches to Enterprise Analytics
The Enterprise Data Warehouse Approach
SUCCESSFUL CASE EXAMPLES
Case Study: 3M
Case Study: FedEx
BUSINESS IMPROVEMENT OPPORTUNITIES
Four Steps to Customer Growth
Step One: Setting an Objective
Step 2: Performing Analysis
Step 3: Taking Marketplace Actions
Step 4: Creating Measurements and Understanding the Results
Customer Retention Best Practices in Retail
Customer Optimization for Revenues and Profit
DEFINING A BUSINESS INTELLIGENCE, DW AND ENTERPRISE DW FRAMEWORK
Creating the Optimum Customer Experience
Key Techniques in Using Business Intelligence With Data Warehousing: Segmentation
Key Techniques in Using Business Intelligence With Data Warehousing: Product Affinity Analysis
Key Techniques in Using Business Intelligence With Data Warehousing: Campaign Management
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