Master Data Management Program A Complete Guide 2020 Edition

Master Data Management Program A Complete Guide - 2020 Edition

How accurate is your customer and product data? How do you implement a measurement process focused on creating business value? What information is important to share and what will resonate most? Which wireless security protocols do you need to support? How is data across impacted programs evaluated to determine whether it can be managed as master data? This valuable Master Data Management Program self-assessment will make you the established Master Data Management Program domain authority by revealing just what you need to know to be fluent and ready for any Master Data Management Program challenge. How do I reduce the effort in the Master Data Management Program work to be done to get problems solved? How can I ensure that plans of action include every Master Data Management Program task and that every Master Data Management Program outcome is in place? How will I save time investigating strategic and tactical options and ensuring Master Data Management Program costs are low? How can I deliver tailored Master Data Management Program advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Master Data Management Program essentials are covered, from every angle: the Master Data Management Program self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Master Data Management Program outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Master Data Management Program practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Master Data Management Program are maximized with professional results. Your purchase includes access details to the Master Data Management Program self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Master Data Management Program Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.

Meeting the Challenges of Data Quality Management

Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book enables data management professionals to help their organizations get more value from data by addressing the five challenges of data quality management: the meaning challenge (recognizing how data represents reality), the process/quality challenge (creating high-quality data by design), the people challenge (building data literacy), the technical challenge (enabling organizational data to be accessed and used, as well as protected), and the accountability challenge (ensuring organizational leadership treats data as an asset). Organizations that fail to meet these challenges get less value from their data than organizations that address them directly. The book describes core data quality management capabilities and introduces new and experienced DQ practitioners to practical techniques for getting value from activities such as data profiling, DQ monitoring and DQ reporting. It extends these ideas to the management of data quality within big data environments. This book will appeal to data quality and data management professionals, especially those involved with data governance, across a wide range of industries, as well as academic and government organizations. Readership extends to people higher up the organizational ladder (chief data officers, data strategists, analytics leaders) and in different parts of the organization (finance professionals, operations managers, IT leaders) who want to leverage their data and their organizational capabilities (people, processes, technology) to drive value and gain competitive advantage. This will be a key reference for graduate students in computer science programs which normally have a limited focus on the data itself and where data quality management is an often-overlooked aspect of data management courses. - Describes the importance of high-quality data to organizations wanting to leverage their data and, more generally, to people living in today's digitally interconnected world - Explores the five challenges in relation to organizational data, including "Big Data," and proposes approaches to meeting them - Clarifies how to apply the core capabilities required for an effective data quality management program (data standards definition, data quality assessment, monitoring and reporting, issue management, and improvement) as both stand-alone processes and as integral components of projects and operations - Provides Data Quality practitioners with ways to communicate consistently with stakeholders

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