Analytics: The Agile Way (Wiley and SAS Business Series)
暫譯: 敏捷分析:實務指南 (Wiley 與 SAS 商業系列)
Phil Simon
- 出版商: Wiley
- 出版日期: 2017-07-05
- 售價: $1,920
- 貴賓價: 9.5 折 $1,824
- 語言: 英文
- 頁數: 304
- 裝訂: Hardcover
- ISBN: 1119423473
- ISBN-13: 9781119423478
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相關分類:
Agile Software
海外代購書籍(需單獨結帳)
相關主題
商品描述
For decades now, companies big and small have embraced Agile software development methods. The rationale here is straightforward:
Yet, when developing and using analytics, many organizations paradoxically continue to think in terms of traditional, phase-gate IT projects. That is, they optimistically plan for six-month or year-long projects to launch dashboards, key performance indicators (KPIs), data-visualization tools, predictive models, and their ilk. Antiquated techniques abound. In so doing, these organizations bet--often incorrectly--that they will diligently gather every requirement and data source. In their conceit, they assume perfect conception, planning, and execution. Even if they pull off these enormous feats, it's usually a fool's errand for one simple fact the world is moving faster than ever.
This is insanity.
In Analytics: The Agile Way award-winning author Phil Simon shows how intelligent organizations such as Google, Nextdoor, and others are approaching contemporary analytics.
At a high level, the text will demonstrate how organizations are applying the same Agile techniques that software engineers and developers have successful used for years, but in a different area: analytics. In so doing, individuals at these smart companies can understand--and, most important, act upon--nascent opportunities far faster than their more traditional counterparts do. Using a combination of case studies, examples, and exercises, Analytics: The Agile Way demonstrates how this new mind-set affords tremendous opportunity for organizations willing to embrace uncertainty and move fast.
- Why take one or two years to fully deploy a system, app, or website when so many things can and do go wrong?
- Why try to cook one big batch and boil the ocean?
- Why not cook many smaller batches?
Yet, when developing and using analytics, many organizations paradoxically continue to think in terms of traditional, phase-gate IT projects. That is, they optimistically plan for six-month or year-long projects to launch dashboards, key performance indicators (KPIs), data-visualization tools, predictive models, and their ilk. Antiquated techniques abound. In so doing, these organizations bet--often incorrectly--that they will diligently gather every requirement and data source. In their conceit, they assume perfect conception, planning, and execution. Even if they pull off these enormous feats, it's usually a fool's errand for one simple fact the world is moving faster than ever.
This is insanity.
In Analytics: The Agile Way award-winning author Phil Simon shows how intelligent organizations such as Google, Nextdoor, and others are approaching contemporary analytics.
At a high level, the text will demonstrate how organizations are applying the same Agile techniques that software engineers and developers have successful used for years, but in a different area: analytics. In so doing, individuals at these smart companies can understand--and, most important, act upon--nascent opportunities far faster than their more traditional counterparts do. Using a combination of case studies, examples, and exercises, Analytics: The Agile Way demonstrates how this new mind-set affords tremendous opportunity for organizations willing to embrace uncertainty and move fast.
商品描述(中文翻譯)
數十年來,大大小小的公司都採用了敏捷軟體開發方法。這裡的理由很簡單:
- 為什麼要花一到兩年時間來完全部署一個系統、應用程式或網站,當有那麼多事情可能出錯時?
- 為什麼要嘗試一次性完成一個大批量的工作?
- 為什麼不做許多小批量的工作?
當世界變化比以往更快時,這個問題的嚴重性更是加倍。事實上,像 Scrum 這樣的方法的流行並非偶然,且沒有結束的跡象。
然而,在開發和使用分析時,許多組織矛盾地仍然以傳統的階段性 IT 專案思維來思考。也就是說,他們樂觀地計劃六個月或一年的專案來啟動儀表板、關鍵績效指標 (KPIs)、數據可視化工具、預測模型等。過時的技術層出不窮。在這樣做的過程中,這些組織往往錯誤地賭注於他們會勤奮地收集每一個需求和數據來源。在他們的自負中,他們假設完美的構思、計劃和執行。即使他們成功完成這些龐大的任務,這通常也是徒勞的,因為有一個簡單的事實:世界的變化速度比以往更快。
這是瘋狂的。
在《Analytics: The Agile Way》中,獲獎作者 Phil Simon 展示了像 Google、Nextdoor 等智慧型組織如何接近當代分析。
從高層次來看,這本書將展示組織如何應用軟體工程師和開發人員多年來成功使用的相同敏捷技術,但在不同的領域:分析。這樣一來,這些聰明公司的個體能夠比他們的傳統同行更快地理解——而且最重要的是,採取行動——新興的機會。《Analytics: The Agile Way》通過案例研究、範例和練習,展示了這種新思維如何為願意接受不確定性並快速行動的組織提供巨大的機會。