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Intelligent Decision Models: Getting the Most out of Demand Management

Published by: IDC

Published: Apr. 18, 2006 - 16 Pages


Table of Contents


Manufacturing Insights Opinion

In This Report

Situation Overview

Business Need

Management Challenges

The Best Practices

High-Performance Strategies

The Rise of Information Technology Economics

Correlating Practices with Performance

Figure: Saddle-Point Analysis Curves

A Standard Taxonomy for Intelligent Decision Models

An Architecture for Intelligent Decision Models

Organizing for Success

Differentiating the Adopters

Figure: IT Economics Framework

Benchmarking the Processes

Figure: Attract Saddle-Point Benchmarks

Figure: Sell Saddle-Point Benchmarks

Figure: Serve Saddle-Point Benchmarks

Describing the Decisions

Figure: Context for Demand Management Decisions

Setting Priorities

Future Outlook

The IT Investment Shift

Table: Manufacturing IT Capital Spending Share by Value Platform, 1995, 2000, 2005, and 2010 (%)

The Demand Management Decision Investment

Essential Guidance

Actions to Consider

Learn More

Related Research

Synopsis

Abstract

This Manufacturing Insights report outlines the need to establish an intelligence platform strategy or value-loop applications to support broader and more timely decision making in demand management. This report further outlines:

An architecture for intelligent decision models A broader concept of saddle-point benchmarking to assess an individual company's capabilities for fostering more intelligent demand management strategies A plan to set priorities and develop action planning among IT and functional demand management teams

"To consistently meet stakeholder expectations, companies need to invest in a new approach to business decision making. Intelligent decision models both deliver timely management information and host each of the demand management processes in a single, closed-loop, and collaborative workspace that allows decision makers at all levels of an organization to collectively measure performance, anticipate results, and drive profitability." - Mike Witty, director, Demand Management Strategies



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