The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality

Lowell Fryman, Gregory Lampshire, Dan Meers

  • 出版商: Morgan Kaufmann
  • 出版日期: 2016-09-02
  • 定價: $2,100
  • 售價: 8.5$1,785
  • 語言: 英文
  • 頁數: 292
  • 裝訂: Paperback
  • ISBN: 0128023074
  • ISBN-13: 9780128023075
  • 相關分類: 大數據 Big-dataData Science
  • 立即出貨 (庫存 < 3)

商品描述

The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration.

The book teaches readers how to use proven methods and accelerators to break through data obstacles to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it.

In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization.

  • Provides a mature and proven playbook approach (methodology) to enabling data governance that supports agile implementation
  • Features specific examples of current industry challenges in enterprise risk management, including anti-money laundering and fraud prevention
  • Describes business benefit measures and funding approaches using exposure based cost models that augment risk models for cost avoidance analysis and accelerated delivery approaches using data integration sprints for application, integration, and information delivery success

商品描述(中文翻譯)

《數據與分析指南:經過驗證的數據和分析質量方法》探討了數據在預算中的主導地位,以及在各種業務增值項目中所做的不同努力,包括應用程序、網絡和移動計算、大數據分析和傳統數據集成。

本書教讀者如何使用經過驗證的方法和加速器來突破數據障礙,提供更快、更高質量的重要任務項目交付。作者Lowell Fryman、Gregory Lampshire和Dan Meers根據多年的實踐經驗,使用大量例子和易於理解的指南,討論了執行多個數據導向活動的簡單、經過驗證的方法。此外,他們還提出了一套清晰的方法,為企業數據和依賴於它的項目提供可靠的治理、控制、風險和風險管理。

此外,他們還討論了一種成本效益的方法,以提供可持續的治理和質量結果,增強項目交付,同時確保持續的控制。書中探討了示例活動、模板、輸出、資源和角色,以及當今常用的不同組織模型,以及如何將它們映射到整個組織中以利用指南數據治理。

本書具有成熟且經過驗證的指南方法(方法論),支持敏捷實施的數據治理。它還提供了當前企業風險管理中特定的例子,包括反洗錢和防欺詐。書中還描述了使用基於風險模型的暴露成本模型來衡量業務效益和資金方法,以及使用數據集成迅速交付方法來實現應用程序、集成和信息交付成功。