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    Predictive Analytics book cover

    Predictive Analytics by Eric Siegel Summary

    Predictive Analytics
    Eric Siegel
    3.66 (2105 Reviews)
    BusinessAITechnology
    概要
    主なポイント
    著者
    よくある質問

    Overview of Predictive Analytics

    Discover how algorithms predict who will click, buy, lie, or die in "Predictive Analytics" - the Freakonomics of big data. Used by 30+ universities and translated into 9 languages, it reveals why vegetarians miss fewer flights and how companies like Netflix see your future.

    Similar books to Predictive Analytics

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    クイックサマリー9分

    著者の声を通じて本を感じる

    深堀り42分

    知識を魅力的で例が豊富な洞察に変換

    フラッシュカード8件の洞察

    キーアイデアを瞬時にキャプチャして素早く学習

    エンタメ21分

    楽しく魅力的な方法で本を楽しむ

    「Predictive Analytics」のベストクォート

    “

    An organization that doesn't learn from its data is like a person with a photographic memory who never bothers to think.

    ”
    あなたに合った学び方を探す
    『Predictive Analytics』は単なる本ではありません—Businessのマスタークラスです。あなたに最適な方法でレッスンを吸収できるよう、5つのユニークな学習モードを用意しています。深く考える人も、素早く学ぶ人も、物語が好きな人も、あなたのスタイルに合ったモードがあります。

    クイックサマリーモード - 『Predictive Analytics』の要約を9分で読む・聴く

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    『Predictive Analytics』を9分で要約

    『Predictive Analytics』の核心的なアイデアを分かりやすいポイントに分解し、革新的なチームがどのように創造、協力、成長するかを理解します。

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    フラッシュカードモード - 『Predictive Analytics』から厳選した8の洞察

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    『Predictive Analytics』から厳選した8の洞察

    『Predictive Analytics』を素早い記憶のヒントに凝縮し、率直さ、チームワーク、創造的な回復力の主要原則を強調します。

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    エンタメモード - 『Predictive Analytics』のレッスンを21分のストーリーで

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    『Predictive Analytics』のレッスンを21分のストーリーで

    鮮やかなストーリーテリングを通じて『Predictive Analytics』を体験し、イノベーションのレッスンを記憶に残り、応用できる瞬間に変えます。

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    あなた自身の方法で『Predictive Analytics』を体験。

    何でも質問し、声を選び、本当にあなたに響く洞察を一緒に作り出しましょう。

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    注目の書籍要約
    Crucial ConversationsThe Perfect MarriageInto the WildNever Split the DifferenceAttachedGood to GreatSay Nothing
    人気のカテゴリ
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    著名人の読書リスト
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    受賞作品コレクション
    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
    注目のトピック
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    年別ベストブック
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
    学習ツール
    Knowledge VisualizerAI Podcast Generator
    注目の著者
    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
    BeFreed vs 他のアプリ
    BeFreed vs. Other Book Summary AppsBeFreed vs. ElevenReaderBeFreed vs. ReadwiseBeFreed vs. Anki
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    重要なポイント

    1

    The Crystal Ball of the Digital Age

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    Imagine a father storming into a Target store, furious that the retailer was sending his teenage daughter baby-related coupons. Days later, he called back with a sheepish apology: his daughter was indeed pregnant - due in August. Target's algorithms had detected subtle changes in her purchasing patterns before she'd told her family. Welcome to the world of predictive analytics, where algorithms peer "through the previously impenetrable barrier between today and tomorrow." This technology transforms our digital footprints into forecasts of remarkable accuracy - predicting what we'll buy, whether we'll quit our jobs, default on loans, or even develop diseases. These aren't vague, generalized predictions like weather forecasts, but individualized insights applied across millions of people simultaneously. The power comes not from perfect accuracy, but from being consistently better than random guessing - what Eric Siegel calls "The Prediction Effect." When organizations can make slightly better decisions at massive scale, the cumulative impact transforms industries. Consider a direct marketing campaign: without predictive analytics, you'd randomly select recipients and expect a 1% response rate. But what if you could identify a segment three times more likely to respond? You'd triple your results with the same budget. This illustrates how even modest improvements in prediction accuracy create tremendous value. Credit card companies improving fraud detection by just 2% save millions annually. Healthcare providers predicting patient readmissions with 15% better accuracy significantly reduce costs while improving care. What makes this approach transformative is that predictions directly drive decisions: doctors reviewing high-risk patients, agents contacting customers likely to cancel, marketers targeting specific prospects. Amazon's recommendation engine drives 35% of their sales. Netflix saves $1 billion annually through predictive customer retention.

    2

    Finding Signals in the Digital Noise

    3

    The Machine That Learns

    4

    The Power of Ensemble Models and Persuasion Analytics

    5

    The Ethics of Algorithmic Crystal Balls

    6

    The Future of Prediction