MDM for Customer Data: Optimizing Customer Centric Management of Your Business
()
About this ebook
Practical and informal, this manual clearly defines Master Data Management (MDM), a set of processes and tools that consistently define and manage the nontransactional data entities of an organization. Demonstrating how to implement MDM and how to make it complement other IT solutions, this handbook proves that MDM is a fascinating and up-and-coming approach that allows organizations to run customer-centric business operations. With chapters on data governance, MDM data domains, and customer-data case studies, this reference will appeal to programmers, chief information officers, and information technology architects and managers.
Related to MDM for Customer Data
Related ebooks
The IBM Data Governance Unified Process: Driving Business Value with IBM Software and Best Practices Rating: 4 out of 5 stars4/5Selling Information Governance to the Business: Best Practices by Industry and Job Function Rating: 0 out of 5 stars0 ratingsMulti-Domain Master Data Management: Advanced MDM and Data Governance in Practice Rating: 5 out of 5 stars5/5Data Mapping for Data Warehouse Design Rating: 5 out of 5 stars5/5The Data Governance Imperative Rating: 0 out of 5 stars0 ratingsData Stewardship: An Actionable Guide to Effective Data Management and Data Governance Rating: 3 out of 5 stars3/5Master data management Complete Self-Assessment Guide Rating: 0 out of 5 stars0 ratingsData Virtualization for Business Intelligence Systems: Revolutionizing Data Integration for Data Warehouses Rating: 4 out of 5 stars4/5Data Quality: The Accuracy Dimension Rating: 4 out of 5 stars4/5Business Metadata: Capturing Enterprise Knowledge Rating: 4 out of 5 stars4/5Master Data Management Rating: 4 out of 5 stars4/5Data Governance A Complete Guide - 2021 Edition Rating: 0 out of 5 stars0 ratingsData Governance Complete Self-Assessment Guide Rating: 0 out of 5 stars0 ratingsMaster Data Management Rating: 0 out of 5 stars0 ratingsAgile Data Warehousing for the Enterprise: A Guide for Solution Architects and Project Leaders Rating: 0 out of 5 stars0 ratingsData Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program Rating: 4 out of 5 stars4/5Logical Data Warehouse A Complete Guide - 2019 Edition Rating: 0 out of 5 stars0 ratingsData Governance Strategy A Complete Guide - 2020 Edition Rating: 0 out of 5 stars0 ratingsExecuting Data Quality Projects: Ten Steps to Quality Data and Trusted Information<sup>TM</sup> Rating: 3 out of 5 stars3/5Data Quality Complete Self-Assessment Guide Rating: 0 out of 5 stars0 ratingsTesting the Data Warehouse Practicum: Assuring Data Content, Data Structures and Quality Rating: 0 out of 5 stars0 ratingsStar Schema The Complete Reference Rating: 0 out of 5 stars0 ratingsEnterprise Data Governance A Complete Guide Rating: 0 out of 5 stars0 ratingsData warehouse Complete Self-Assessment Guide Rating: 4 out of 5 stars4/5Data Architecture: A Primer for the Data Scientist: A Primer for the Data Scientist Rating: 5 out of 5 stars5/5DW 2.0: The Architecture for the Next Generation of Data Warehousing Rating: 4 out of 5 stars4/5Data Modeling Essentials Rating: 4 out of 5 stars4/5Data Architecture: From Zen to Reality Rating: 4 out of 5 stars4/5
Databases For You
Grokking Algorithms: An illustrated guide for programmers and other curious people Rating: 4 out of 5 stars4/5Access 2019 For Dummies Rating: 0 out of 5 stars0 ratingsBlockchain Basics: A Non-Technical Introduction in 25 Steps Rating: 5 out of 5 stars5/5SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL Rating: 4 out of 5 stars4/5Learn SQL in 24 Hours Rating: 5 out of 5 stars5/5100+ SQL Queries T-SQL for Microsoft SQL Server Rating: 4 out of 5 stars4/5Python Projects for Everyone Rating: 0 out of 5 stars0 ratingsPractical Data Analysis Rating: 4 out of 5 stars4/5Learn SQL Server Administration in a Month of Lunches Rating: 3 out of 5 stars3/5Access 2016 For Dummies Rating: 0 out of 5 stars0 ratingsSQL Clearly Explained Rating: 5 out of 5 stars5/5Artificial Intelligence for Fashion: How AI is Revolutionizing the Fashion Industry Rating: 0 out of 5 stars0 ratingsCOMPUTER SCIENCE FOR ROOKIES Rating: 0 out of 5 stars0 ratingsText Analytics with Python: A Practitioner's Guide to Natural Language Processing Rating: 0 out of 5 stars0 ratingsBeginning Microsoft Power BI: A Practical Guide to Self-Service Data Analytics Rating: 0 out of 5 stars0 ratingsCOBOL Basic Training Using VSAM, IMS and DB2 Rating: 5 out of 5 stars5/5Developing High Quality Data Models Rating: 0 out of 5 stars0 ratingsData Governance: How to Design, Deploy and Sustain an Effective Data Governance Program Rating: 4 out of 5 stars4/5Building a Scalable Data Warehouse with Data Vault 2.0 Rating: 4 out of 5 stars4/5Business Intelligence Strategy and Big Data Analytics: A General Management Perspective Rating: 5 out of 5 stars5/5SQL Server: Tips and Tricks - 2 Rating: 4 out of 5 stars4/5Serverless Architectures on AWS, Second Edition Rating: 5 out of 5 stars5/5Query Store for SQL Server 2019: Identify and Fix Poorly Performing Queries Rating: 0 out of 5 stars0 ratingsMicrosoft SQL Server 2008 All-in-One Desk Reference For Dummies Rating: 0 out of 5 stars0 ratingsVisual Basic 2010 Coding Briefs Data Access Rating: 5 out of 5 stars5/5Oracle DBA Mentor: Succeeding as an Oracle Database Administrator Rating: 0 out of 5 stars0 ratingsData Mining: Concepts and Techniques Rating: 4 out of 5 stars4/5
Reviews for MDM for Customer Data
0 ratings0 reviews