
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.
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지식을 흥미롭고 예시가 풍부한 인사이트로 전환
핵심 아이디어를 빠르게 캡처하여 신속하게 학습
재미있고 매력적인 방식으로 책을 즐기세요
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.
Predictive Analytics의 핵심 아이디어를 이해하기 쉬운 포인트로 분해하여 혁신적인 팀이 어떻게 창조하고, 협력하고, 성장하는지 이해합니다.
Predictive Analytics을 빠른 기억 단서로 압축하여 솔직함, 팀워크, 창의적 회복력의 핵심 원칙을 강조합니다.

생생한 스토리텔링을 통해 Predictive Analytics을 경험하고, 혁신 교훈을 기억에 남고 적용할 수 있는 순간으로 바꿉니다.
무엇이든 물어보고, 목소리를 선택하고, 진정으로 공감되는 인사이트를 함께 만들어보세요.

샌프란시스코에서 컬럼비아 대학교 동문들이 만들었습니다
"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."
"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."
"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."
"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."
"Reading used to feel like a chore. Now it’s just part of my lifestyle."
"Feels effortless compared to reading. I’ve finished 6 books this month already."
"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."
"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."
"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"
"It is great for me to learn something from the book without reading it."
"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."
"Makes me feel smarter every time before going to work"
샌프란시스코에서 컬럼비아 대학교 동문들이 만들었습니다

Predictive Analytics 요약을 무료 PDF 또는 EPUB으로 받으세요. 인쇄하거나 오프라인에서 언제든 읽을 수 있습니다.