Book (Practical) Information science Data Management Knowledge System Guide 2nd edition revised new edition / DAMAInternationa / DAMA Japanese Branch Metafind Consulting

※Please note that product information is not in full comprehensive meaning because of the machine translation.
Japanese title: 単行本(実用) 情報科学 データマネジメント知識体系ガイド 第二版 改定新版 / DAMAInternationa / DAMA日本支部Metafindコンサルティング
Out of stock
Item number: BO4716139
Released date: 19 Jul 2024
Maker: Nikkei BP

Product description ※Please note that product information is not in full comprehensive meaning because of the machine translation.

Information Science
[Introduction to Content]
What Controls the Data Controls the Business
Contains the knowledge to create value from the data
Data reflects the real world.
Data lives as the outside world.
Data lives as it lives.
High-quality data is an asset that accurately describes the state of things and things and their diverse relationships.
Data is the infrastructure that supports business activities and provides value.
You can leverage data to make advanced decisions, automate operations, understand markets and forecast the future.
The 『 Data Management Knowledge System Guide, Second Edition, New Edition 』 describes how to create value from data from a variety of perspectives.
It is an infrastructure that supports business activities and provides value.
You can leverage data to make advanced decisions, automate operations, understand markets and forecast the future.
The Japanese version of the first edition was published in 2011, and the second edition in 2018 was completely rewritten from the ground up.
In response to the needs of the times, six new chapters were added : "Data Ethics," "Data Integration and Interoperability," "Big Data and Data Science," "Data Management Maturity Assessment," "Data Management Organization and Chapter 10 Reference and Master Data
Chapter 11 Data Warehousing and business intelligence
Chapter 12 Metadata Management
Chapter 13 Data Quality
Chapter 14 Big Data and Data Science
Chapter 15 Data Management Maturity Assessment
Chapter 16 Data Management Organization and Role Expectations
Chapter 17 Data Management and Organizational Transformation 1.5