數(shù)據(jù)治理（1天直播課綱）

數(shù)據(jù)治理課程是ICCP的一門認(rèn)證課程。學(xué)員掌握數(shù)據(jù)治理與管理的知識體系，提高數(shù)據(jù)資產(chǎn)的管理能力。深刻理解數(shù)據(jù)治理為企業(yè)戰(zhàn)略目標(biāo)實現(xiàn)帶來的價值。 經(jīng)認(rèn)證考試后可收獲國際認(rèn)可的數(shù)據(jù)治理與管理（DGSP）培訓(xùn)和認(rèn)證證書。

培訓(xùn)時長：6小時

授課講師簡介 馬兆林老師

ICCP首批中國認(rèn)證講師

美國ICCP-DGSP(數(shù)據(jù)治理與管理專業(yè)人士認(rèn)證)+師資認(rèn)證

美國ICCP-CBDP(大數(shù)據(jù)專業(yè)人士認(rèn)證)+師資認(rèn)證

美國ACI國際培訓(xùn)師認(rèn)證

人社部注冊高級企業(yè)培訓(xùn)師

互聯(lián)網(wǎng)頂層贏利智慧研究院                         院長

中國創(chuàng)業(yè)技術(shù)協(xié)會數(shù)字化轉(zhuǎn)型工作委員會        發(fā)起理事

中國科技新聞學(xué)會大數(shù)據(jù)與科技傳播專業(yè)委員會     委員

國家十一五科技支撐計劃《某領(lǐng)域基礎(chǔ)數(shù)據(jù)庫研究》專項課題承辦人

曾任前大家保險集團信息技術(shù)部副總經(jīng)理，北大縱橫咨詢公司合伙人。中國信息產(chǎn)業(yè)聯(lián)盟授予“2013年中國行業(yè)優(yōu)秀CIO十佳”。西安交通大學(xué)特聘教授、北京大學(xué)互聯(lián)網(wǎng)金融總裁班導(dǎo)師，北大CIO學(xué)院特聘講師。

主要出版書籍：《一本書讀懂大數(shù)據(jù)》、《一本書讀懂區(qū)塊鏈金融》、《中國制造2025強國之路與工業(yè)4.0實戰(zhàn)》等。

授課內(nèi)容

1. 數(shù)據(jù)治理和管理核心概念

1. 數(shù)據(jù)管理和數(shù)據(jù)治理

2. 數(shù)據(jù)治理業(yè)務(wù)驅(qū)動因素和其他概念

3. 數(shù)據(jù)管理范圍 和組織

4. 數(shù)據(jù)治理角色和其他計劃元素

1. 數(shù)據(jù)治理計劃方法階段

1. 數(shù)據(jù)治理計劃方法：范圍、啟動、評估和協(xié)調(diào)階段

2. 愿景、協(xié)調(diào)和業(yè)務(wù)價值階段

3. 數(shù)據(jù)治理架構(gòu)設(shè)計和實施階段

4. 實施和操作階段

1. 數(shù)據(jù)管理角色類型、基本職責(zé)、工件和工具

1. 數(shù)據(jù)管理角色類型和基本職責(zé)

2. 數(shù)據(jù)管理工件類別和工具

1. 數(shù)據(jù)管理活動

1. 數(shù)據(jù)集成和互操作性重點

2. 文檔和內(nèi)容焦點

3. 參考和主數(shù)據(jù)管理 （MDM） 重

4. 數(shù)據(jù)倉庫/BI 焦點

1. 元數(shù)據(jù)焦點和數(shù)據(jù)質(zhì)量重點

1. 元數(shù)據(jù)焦點

2. 數(shù)據(jù)質(zhì)量焦點

3. 大數(shù)據(jù)聚焦

4. 更多數(shù)據(jù)治理趨勢

原版認(rèn)證32小時教程英文目錄

Data Governance and Stewardship

Module 1: Data Governance and Stewardship Core Concepts 2

Unit 1.1. Data Management and Data Governance 2

Unit 1.2 Data Governance Business Drivers and Additional Concepts 3

Module Summary 5

Module 2: Data Governance Function 6

Unit 2.1. Data Governanace Scope and Organization 6

Unit 2.2. Data Governance Roles and Other Program Elements 7

Module Summary 8

Module 3: Data Governance Program Business Case 9

Unit 3.1. Data Governance Program Business Case 9

Unit 3.2 Data Governance Program Business Case Components and Approaches to Building the Business Case 10

Module Summary 11

Module 4: Data Governance Program Methodology Phases: Part I 13

Unit 4.1. Data Governance Program Methodology: Scope, Initiation, Assess and Alignment Phases 13

Unit 4.2 Vision, and Align and Business Value Phases 15

Module Summary 16

Module 5: Data Governance Program Methodology Phases: Part II 17

Unit 5.1 Data Governance Architecture Design and Implementation Phases 17

Unit 5.2 Implementation and Operation Phases 18

Module Summary 20

Module 6: Data Stewardship Role Types, Basic Duties, Artifacts and Tools 21

Unit 6.1 Data Stewardship Role Types and Basic Duties 21

Unit 6.2 Data Stewardship Artifact Categories and Tools 22

Module Summary 23

Module 7: Data Stewardship Activities: Data Architecture Focus and Data Development (Data Modeling) Focus 24

Unit 7.1. Data Architecture Focus 24

Unit 7.2. Data Development (Data Modeling) Focus 25

Module Summary 26

Module 8: Data Stewardship Activities: Data Storage and Operations (DBA) Focus and Data Security Focus 27

Unit 8.1. Data Storage and Operations (DBA) Focus 27

Unit 8.2. Data Security and Ethics Focus 28

Module Summary 29

Module 9: Data Stewardship Activities: Data Integration and Interoperability Focus, and Document and Content Focus 30

Unit 9.1. Data Integration and Interoperability Focus 30

Unit 9.2. Documents and Content Focus 31

Module Summary 33

Module 10: Data Stewardship Activities: Reference & Master Data Management Focus, and Data Warehousing & Business Intelligence Focus 35

Unit 10.1. Reference and Master Data Management (MDM) Focus 35

Unit 10.2. Data Warehousing / BI Focus 37

Module Summary 39

Module 11: Data Stewardship Activities: Metadata Focus and Data Quality Focus 40

Unit 11.1. Metadata Focus 40

Unit 11.2 Data Quality Focus 41

Module Summary 43

Module 12.0. Additional Data Governance and Stewardship Considerations 44

Unit 12.1. Big Data Focus 44

Unit 12.2. More Data Governance Trends 46

Module Summary 48