From Data to Dollars: Getting Started with Data Analytics and AI in Startups
暫譯: 從數據到美元：初創企業中的數據分析與人工智慧入門

Sidoruk, Piotr

From Data to Dollars: Getting Started with Data Analytics and AI in Startups
  • 出版商: Apress
  • 出版日期: 2026-05-08
  • 售價: $1,510
  • 貴賓價: 9.8 折 $1,479
  • 語言: 英文
  • 頁數: 559
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868818974
  • ISBN-13: 9798868818974
  • 相關分類: Data-visualization

    • 海外代購書籍(需單獨結帳)

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商品描述

Turn raw data into real traction--and real revenue.

This practical hands-on guide is built for the realities of startup life--where time is short, resources are limited, and every decision counts. Whether you're just getting started or scaling fast, this book is your essential playbook for building a data-driven startup ready for growth and innovation--and for turning insight into impact and data into dollars.

Drawing from his hard-won lessons as the first data hire in both venture-backed successes and failures, author Piotr Sidoruk shares battle-tested strategies for building data systems that are both affordable and scalable, agile and reliable. You'll explore how to create a strong data foundation free from the rigidity of traditional corporate models, and how to use analytics and AI to inform product development, customer insights, and investor communication--ultimately turning data into measurable business outcomes and revenue growth.

What makes this book different? It unites data engineering, analytics, and machine learning into one actionable framework tailored for startups. With real-world examples from companies like Spotify, Airbnb, and Stripe, you'll see how data can become a strategic asset from day one. From your first data hire to your next funding round, this book is your roadmap to making data your competitive advantage.

What You Will Learn

    Develop a lean data-driven strategy to fuel startup growth
    Build a scalable data stack for AI and machine learning without overspending
    Discover user insights with analytics and qualitative research
    Turn data into financial value and build narratives that win investors
    Track key startup metrics including CAC, LTV, retention, and growth KPIs
    Build dashboards and reports that drive decisions and revenue
Who This Book Is For

Data engineers, analysts, and scientists who are the first data hires at startups--or preparing to work in fast-paced, high-growth startup environments. Ideal for professionals looking to build scalable data systems, drive product insights, and grow their careers in early-stage tech companies.

商品描述(中文翻譯)

將原始數據轉化為真正的牽引力和實際收入。這本實用的手冊是為創業生活的現實而設計的——在這裡，時間緊迫，資源有限，每一個決策都至關重要。無論你是剛開始還是快速擴張，這本書都是你建立一個數據驅動的創業公司、準備迎接增長和創新的必備手冊——並將洞察轉化為影響，將數據轉化為收入。

作者 Piotr Sidoruk 根據他在風險投資支持的成功和失敗中作為首位數據雇員所獲得的寶貴經驗，分享了建立既經濟又可擴展、靈活且可靠的數據系統的經過實戰考驗的策略。你將探索如何創建一個強大的數據基礎，擺脫傳統企業模型的僵化，以及如何利用分析和人工智慧來指導產品開發、客戶洞察和投資者溝通——最終將數據轉化為可衡量的商業成果和收入增長。

這本書有何不同之處？它將數據工程、分析和機器學習統合為一個針對創業公司的可行框架。通過來自 Spotify、Airbnb 和 Stripe 等公司的實際案例，你將看到數據如何從第一天起就成為一項戰略資產。從你的第一位數據雇員到下一輪融資，這本書是你將數據變成競爭優勢的路線圖。

你將學到什麼


  • 制定精簡的數據驅動策略以促進創業增長

  • 建立可擴展的數據堆疊以支持人工智慧和機器學習，避免過度支出

  • 通過分析和定性研究發現用戶洞察

  • 將數據轉化為財務價值，並構建贏得投資者的敘事

  • 追蹤關鍵創業指標，包括 CAC、LTV、留存率和增長 KPI

  • 建立推動決策和收入的儀表板和報告

本書適合誰
數據工程師、分析師和科學家，這些人是創業公司的首位數據雇員——或準備在快速變化、高增長的創業環境中工作。非常適合希望建立可擴展數據系統、推動產品洞察並在早期科技公司中發展職業生涯的專業人士。

作者簡介

Piotr Sidoruk is a startup data expert with a unique experience of being the first data hire at several startups across both the US and Europe. He has built data infrastructure from scratch, helping startups scale and secure around $20 M in funding and revenue through strategic recommendations and data storytelling that convinces investors to fund their growth (e.g. He helped Playbook build data storytelling to raise $9.3 M).

With a degree in Quantitative Methods in Economics and Information Systems and a background in Psychology, Piotr brings a multidisciplinary approach to data-driven problem-solving. He has worked across a range of industries, including fitness, retail, FMCG, financial services, pharma, igaming, crypto, and real estate, collaborating with major corporations such as IBM, Bain, and Roche. He also has extensive experience in the startup world, having contributed to ventures such as Playbook, a New York-based fitness and creator economy platform; Rentier, a European real estate valuation platform; and MyMenu, an AI-powered meal planning engine that was purchased and implemented by a large German international discount retail chain.

作者簡介(中文翻譯)

Piotr Sidoruk 是一位創業數據專家，擁有在美國和歐洲多家創業公司擔任首位數據人員的獨特經歷。他從零開始建立數據基礎設施，幫助創業公司擴展並通過戰略建議和數據故事講述說服投資者提供約 2000 萬美元的資金和收入（例如，他幫助 Playbook 建立數據故事講述以籌集 930 萬美元）。

Piotr 擁有經濟學和資訊系統的定量方法學位，以及心理學背景，為數據驅動的問題解決帶來多學科的視角。他在多個行業工作過，包括健身、零售、快速消費品、金融服務、製藥、網路遊戲、加密貨幣和房地產，並與 IBM、貝恩（Bain）和羅氏（Roche）等大型企業合作。他在創業界也有豐富的經驗，曾參與如 Playbook（紐約的健身和創作者經濟平台）、Rentier（歐洲房地產評估平台）和 MyMenu（由大型德國國際折扣零售連鎖店購買並實施的 AI 驅動餐計劃引擎）等創業項目。

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