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Small Data, Big Disruptions (How to Spot Signals of Change and Manage Uncertainty)

List Price: $24.95
SKU:
9781632651921
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  • Product Details

    Author:
    Martin Schwirn, Peder Inge Furseth
    Format:
    Hardcover
    Pages:
    224
    Publisher:
    Red Wheel Weiser (April 15, 2021)
    Language:
    English
    ISBN-13:
    9781632651921
    ISBN-10:
    1632651920
    Dimensions:
    6" x 9"
    File:
    Redwheel-RedWheelWeiser_10042023_P6535300_onix21-20231003.xml
    Folder:
    Redwheel
    List Price:
    $24.95
    Case Pack:
    30
    As low as:
    $19.21
    Publisher Identifier:
    P-MISC
    Discount Code:
    A
    Pub Discount:
    65
  • Overview

    A method to find and connect the small data clues that show what the future’s big picture will look like.

    “Strategy decisions are like playing high-stakes blackjack, and scanning is the technique for counting cards. Martin Schwirn isn’t a pro gambler, but an expert in scanning.” —Bill Ralston, cofounder of Strategic Business Insights and author of Scenario Planning Handbook

    An organization’s future success depends on their decision makers’ ability to anticipate changes and disruptions in the marketplace. But how do you get information about tomorrow today? How can your decisions today account for tomorrow’s uncertainties?

    Small Data, Big Disruptions presents a tool kit to foresee coming changes:

    • Understand why big data will not help you with understanding tomorrow’s disruptions. The future starts with small data—first.
    • Learn the proven 4-step process to capture small data that help envision the future.
    • See examples of how the process anticipated major disruptions.
    • Implement the process in your organization and learn how to initiate meaningful actions.

    Small Data, Big Disruptions provides the information you need to anticipate the future, understand tomorrow’s market dynamics, and make the necessary decisions to meet the future on your terms.

    Small Data, Big Disruptions lets you exploit the period between the moment you could know about emerging disruptions and the moment most everybody will know about it. It’s the difference between being ahead of the curve and struggling to catch up.