Data Management Experts - Books
In this area you can find well known books about data management and related topics. This selection is made to give you clarity about authors and specialists you can rely on if you are researching a new strategy on data management. It is a mix between master data management, data governance and many other data related topics. The page provides you also with a link towards Amazon.com to purchase the books if you are interested. We will try to keep the selection as broad and relevant as possible at all times.
Does it seem you’ve formulated a rock-solid strategy, yet your firm still can’t get ahead? If so, construct a solid foundation for business execution, IT infrastructure and digitized business processes to automate your company’s core capabilities. In this book called Creating a Foundation for Business Execution, authors Jeanne W. Ross, Peter Weill, and David C. Robertson show you how.
Can any subject inspire less excitement than “data quality”? Yet a moment’s thought reveals the ever-growing importance of quality data. From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data.
This book delivers the most current thinking and best practices in developing data management systems with less risk and a higher success rate. Although many authors say they do to the same. This book is the key to keeping cost and maintenance down. The book uses case studies and best practices to give the reader the tools they need to create the best strategy for the organization.
The Data and Analytics Playbook: explores the way in which data continues to dominate budgets, along with the varying efforts made across a variety of business enablement projects, including applications, web and mobile computing, big data analytics, and traditional data integration. The book teaches readers how to use proven methods and accelerators to break through data obstacles.
Data Science gets thrown around in the press like it’s magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It’s a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. Author and data scientist John Foreman will show you how that’s done.
Data governance programs often start off using programs such as Microsoft Excel and Microsoft SharePoint to document and share data governance artifacts. But these tools often lack critical functionality. Meanwhile, vendors have matured their data governance offerings to the extent that today’s organizations need to consider tools as a critical component of their data governance programs
The relatively new role of chief data officer (CDO) has been created to address the issue of managing a company’s data as a strategic asset, but the problem is that there is no universally accepted “playbook” for this role. Magnifying the challenge is the rapidly increasing volume and complexity of data, as well as regulatory compliance as it relates to data and providing the business success
Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data.
Today, the world is trying to create and educate data scientists because of the phenomenon of Big Data. And everyone is looking deeply into this technology. But no one is looking at the larger architectural picture of how Big Data needs to fit within the existing systems (data warehousing systems). Taking a look at the larger picture into which Big Data fits gives the data scientist the necessary context for how pieces of the puzzle should fit together and creating a success out of data
This book describes a Ten Step approach that combines a conceptual framework for understanding information quality with the tools, techniques, and instructions for improving and creating information quality. It includes numerous templates, detailed examples, and practical advice for executing every step of the approach. It allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices.
Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that enhances the accuracy of databases in IT shops
“Customers are the heart of any business. But we can’t succeed if we develop only one talk addressed to the ‘average customer.’ Instead we must know each customer and build our individual engagements with that knowledge. If Customer Relationship Management (CRM) is going to work, it calls for skills in Customer Data Integration (CDI). This is the best book that I have seen on the subject. Jill Dyché is to be complimented for her thoroughness in interviewing executives and presenting CDI.”
Data Modeling Made Simple with PowerDesigner will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with PowerDesigner. This book combines real-world experience and best practices to help you and your firm
Couldn’t it be great to understand all the data in your organization? Just imagine being able to define, agree and manage information concepts that impact on business strategy? Then image that these information concepts can be linked to the physical database attributes that ultimately are used to create them.
Quality data is the key to any advancement. If it is from the Information Age to whatever Age comes next. The success of corporations and government institutions largely depends on the efficiency with which they can collect, organize, and utilize data about products, customers, competitors, vendors, employees and many other aspects.
A glossary with over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the DAMA Data Management Body of Knowledge (DAMA-DMBOK). This glossary is a physical book and well known amongst the data management experts around the globe
Many companies claiming to be MDM software and services providers. Master Data Management is the reincarnation of the problem of how to manage the consistency and integrity of the data assets which are vital to succeed. This book provides an understanding of MDM, all the important business drivers behind it and the various techniques that are critical to its success now and in the future.
Data stewards in business and IT are the backbone of a successful data governance implementation. They do the all the work to make a company’s data trusted, dependable, and of very high quality. This book about Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards.
Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible and non-standardized. Using Master Data Management (MDM), organizations can regain control of their master data and maximize its value in SOA.
The problem of managing data continues to grow with issues surrounding cost of storage, exponential growth, as well as administrative, management and security concerns – the solution to being able to scale all of these issues up is data governance which provides better services to users and saves money.This book is an overview of why data governance is needed, how to design, initiate, and execute a program.
Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. This book covers the set of topics and advanced strategies centered on the key MDM disciplines.
A successful MDM initiative isn’t technology or methods, it’s people: the stakeholders in the organization and their complex ownership of the data. Master Data Management equips you with a deeply practical understanding that will enhance your ability to communicate with stakeholders such as data stewards and win their support.
In this book you are shown you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency.
The DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) is the most impressive compilation of data management principals and best practices, ever assembled around the globe. It provides data management professionals with a framework to manage their data and mature their information infrastructure.
Data availability is surpassing existing paradigms for governing, managing, analyzing, and interpreting health data. Big Data and Health Analytics provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. The combination is life saving
Making Enterprise Information Management (EIM) Work for Business: A Guide to Understanding Information as an Asset provides a comprehensive discussion of EIM. It endeavors to explain information asset management and place it into a pragmatic, focused, and relevant light. The first part is about the concepts of EIM and the second part focuses on the methods
What is Information Governance? Information governance is using the business strategy to apply objectivity, economies, and efficiencies of scale to the processes necessary for the management of information in the achievement of business success. The point of Information or Data Governance is to create TRUSTED data for the business. But how is that actually done?
Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems.