Creating a Data-Driven Organization (Paperback)
暫譯: 建立數據驅動的組織 (平裝本)
Carl Anderson
- 出版商: O'Reilly
- 出版日期: 2015-09-08
- 定價: $1,485
- 售價: 9.5 折 $1,411
- 貴賓價: 9.0 折 $1,337
- 語言: 英文
- 頁數: 302
- 裝訂: Paperback
- ISBN: 1491916915
- ISBN-13: 9781491916919
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相關分類:
管理與領導 Management-leadership
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相關翻譯:
數據驅動力 企業數據分析實戰 (簡中版)
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商品描述
What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company, from analysts and management to the C-Suite and the board.
Through interviews and examples from data scientists and analytics leaders in a variety of industries, author Carl Anderson explains the analytics value chain you need to adopt when building predictive business models—from data collection and analysis to the insights and leadership that drive concrete actions. You’ll learn what works and what doesn’t, and why creating a data-driven culture throughout your organization is essential.
- Start from the bottom up: learn how to collect the right data the right way
- Hire analysts with the right skills, and organize them into teams
- Examine statistical and visualization tools, and fact-based story-telling methods
- Collect and analyze data while respecting privacy and ethics
- Understand how analysts and their managers can help spur a data-driven culture
- Learn the importance of data leadership and C-level positions such as chief data officer and chief analytics officer
商品描述(中文翻譯)
什麼是成為數據驅動組織所需的條件?這不僅僅是擁有大數據或一支優秀的數據科學家團隊,而是需要建立一種有效且根深蒂固的數據文化。本書實用地展示了真正的數據驅動性涉及的過程,這些過程需要公司內部各層級的真誠支持,從分析師和管理層到高層管理團隊及董事會。
透過對各行各業的數據科學家和分析領導者的訪談和範例,作者 Carl Anderson 解釋了在建立預測商業模型時需要採用的分析價值鏈——從數據收集和分析到推動具體行動的洞察和領導力。您將學習到什麼有效,什麼無效,以及為什麼在整個組織中創建數據驅動文化是至關重要的。
- 從基層開始:學習如何以正確的方式收集正確的數據
- 聘用具備正確技能的分析師,並將他們組織成團隊
- 檢視統計和可視化工具,以及基於事實的故事講述方法
- 在尊重隱私和倫理的前提下收集和分析數據
- 了解分析師及其經理如何促進數據驅動文化
- 學習數據領導力的重要性以及 C 級職位,如首席數據官和首席分析官
