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Win / Loss Reviews: A New Knowledge Model for Competitive Intelligence [Hardcover]

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  • Category: Books (Business & Economics)
  • Author:  Marcet, Rick
  • Author:  Marcet, Rick
  • ISBN-10:  1118007417
  • ISBN-10:  1118007417
  • ISBN-13:  9781118007419
  • ISBN-13:  9781118007419
  • Publisher:  Wiley
  • Publisher:  Wiley
  • Pages:  224
  • Pages:  224
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Mar-2011
  • Pub Date:  01-Mar-2011
  • SKU:  1118007417-11-MPOD
  • SKU:  1118007417-11-MPOD
  • Item ID: 101471970
  • List Price: $39.95
  • Seller: ShopSpell
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  • Delivery by: Oct 09 to Oct 11
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
An effective framework for strengthening competitiveness by learning from past deals and applying insights derived from them.

Every sales opportunity, whether won or lost, has useful nuggets of information that can be harvested and used to improve performance. When those pieces of information are aggregated, analyzed and made available for all to use, the organization’s competitive position is greatly enhanced.

  • Reveals how to turn field sales teams, a mostly underutilized resource, into net producers of competitive intelligence
  • Exposes new and unconventional approaches for gathering and democratizing sales insights for a broad stakeholder audience
  • Presents a proven knowledge sharing model that is being adopted by major companies worldwide

Win/Loss Reviews shows how every company can improve top and bottom line performance by systematically capturing the key insights from deals that have been won, lost or delayed.  While the book talks to decision makers and business strategists, the principles and disciplines explored are aimed at bridging the flow of competitive intelligence between sales and marketing, simultaneously providing insights and line-of-site to the dynamics affecting business performance.

Preface xiii

Acknowledgments xix

CHAPTER 1: Introduction 1

Trusting Today’s Seller 5

Listen to the Customer, Too 7

Driving Scale and Accuracy 8

A New Approach 9

Summary 16

Notes 17

CHAPTER 2: Win/Loss Reviews and Business Intelligence 19

A New Knowledge Model 22

BI Governance 25

Providers of Self-Service BI 26

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