Next generation demand management : people, process, analytics, and technology

Cover -- Title Page -- Copyright -- Contents -- Foreword -- Preface -- Acknowledgments -- About the Author -- Chapter 1 The Current State -- Why Demand Management Matters More Than Ever -- The One-Number Forecast -- Forecast by Exception -- Fitting Demand to Supply versus Fitting Supply to Demand -- Lack of Statistical Skills (People) -- Accountability for the Unconstrained Demand Forecast -- Current Challenges and Opportunities -- Primary Obstacles to Achieving Demand Management Planning Goals -- Why Do Companies Continue to Dismiss the Value of Demand Management? -- Summary -- Key Learnings -- Notes -- Further Reading -- Chapter 2 The Journey -- Starting the Supply Chain Journey -- Introducing Sales & Operations Planning (S&OP) into the Supply Chain Journey -- Sales & Operations Planning Connection -- Transitioning to a Demand-Driven Supply Chain -- The Digitalization of the Supply Chain -- Leveraging New Scalable Technology -- Benefits -- Summary -- Key Learnings -- Notes -- Chapter 3 The Data -- What Is Big Data? -- Data versus Actionable Information -- Consumer/Customer Orientation -- Eliminating Information Silos -- Sales & Operations Planning -- Technology Can Do It Better and Faster -- A Structured Process Supported by Technology -- Why Is Downstream Data Important? -- Demand Management Data Challenges -- What Historical Demand Data Should Companies Use? -- Manually Cleansing (Adjusting) Demand History Is a Bad Practice -- CPG Company Case Study -- Does Demand History Really Need to Be Cleansed? -- How Much Data Should Be Used? -- Demand-Signal Repositories -- What Are Demand Signal Repositories? -- Benefits of Demand Signal Analytics -- What Are Users Looking to Gain? -- Why Is It Important? -- What Is Demand Signal Analytics? -- Demand Signal Analytics Key Benefits -- Summary -- Key Learnings -- Notes -- Further Reading.