Enterprise Data Governance (Hardcover)

In an increasingly digital economy, mastering the quality of data is an increasingly vital yet still, in most organizations, a considerable task. The necessity of better governance and reinforcement of international rules and regulatory or oversight structures (Sarbanes Oxley, Basel II, Solvency II, IAS-IFRS, etc.) imposes on enterprises the need for greater transparency and better traceability of their data.

All the stakeholders in a company have a role to play and great benefit to derive from the overall goals here, but will invariably turn towards their IT department in search of the answers. However, the majority of IT systems that have been developed within businesses are overly complex, badly adapted, and in many cases obsolete; these systems have often become a source of data or process fragility for the business.   It is in this context that the management of ‘reference and master data’ or Master Data Management (MDM) and semantic modeling can intervene in order to straighten out the management of data in a forward-looking and sustainable manner.

This book shows how company executives and IT managers can take these new challenges, as well as the advantages of using reference and master data management, into account in answering questions such as: Which data governance functions are available? How can IT be better aligned with business regulations? What is the return on investment? How can we assess intangible IT assets and data? What are the principles of semantic modeling? What is the MDM technical architecture?  In these ways they will be better able to deliver on their responsibilities to their organizations, and position them for growth and robust data management and integrity in the future.

在日益數位化的經濟中，掌握數據的質量變得越來越重要，然而在大多數組織中，這仍然是一項相當艱巨的任務。更好的治理和加強國際規則、監管或監督結構（如薩班斯-奧克斯利法、巴塞爾協議第二、償債能力第二、國際會計準則-國際財務報告準則等）的必要性，迫使企業需要更大的透明度和更好的數據可追溯性。

公司的所有利益相關者都有一個角色要發揮，並從整體目標中獲得巨大的利益，但他們往往會轉向他們的IT部門尋求答案。然而，大多數企業內部開發的IT系統過於複雜、不適應，而且在許多情況下已經過時；這些系統往往成為企業數據或流程脆弱性的來源。在這種情況下，「參考和主數據」或主數據管理（MDM）和語義建模的管理可以介入，以以前瞻性和可持續的方式整理數據管理。

本書展示了公司高管和IT經理如何在回答以下問題時考慮到這些新挑戰以及使用參考和主數據管理的優勢：有哪些數據治理功能可用？如何更好地使IT與業務法規保持一致？投資回報率是多少？如何評估無形的IT資產和數據？語義建模的原則是什麼？MDM的技術架構是什麼？通過這些方式，他們將能夠更好地履行對組織的責任，並為未來的增長和強大的數據管理和完整性做好準備。