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Data Lineage From A Business Perspective


Data Lineage From A Business Perspective
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Data Lineage From A Business Perspective


Data Lineage From A Business Perspective
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Author : Irina Steenbeek
language : en
Publisher: Independently Published
Release Date : 2021-10

Data Lineage From A Business Perspective written by Irina Steenbeek and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10 with categories.


Data lineage has become a daily demand. However, data lineage remains an abstract/ unknown concept for many users. The implementation is complex and resource-consuming. Even if implemented, it is not used as expected. This book uncovers different aspects of data lineage for data management and business professionals. It provides the definition and metamodel of data lineage, demonstrates best practices in data lineage implementation, and discusses the key areas of data lineage usage. Several groups of professionals can use this book in different ways: Data management and business professionals can develop ideas about data lineage and its application areas. Professionals with a technical background may gain a better understanding of business needs and requirements for data lineage. Project management professionals can become familiar with the best practices of data lineage implementation.



Data As The Fourth Pillar


Data As The Fourth Pillar
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Author : Sujay Dutta
language : en
Publisher: CRC Press
Release Date : 2025-08-29

Data As The Fourth Pillar written by Sujay Dutta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-29 with Computers categories.


Data as the Fourth Pillar reasons that data should be considered the fourth pillar of every enterprise, alongside people, processes, and technology. Aimed at Boards, CEOs, and CxOs, this book provides a compelling case for why and how they should treat data as a strategic asset. It presents a comprehensive, success-by-design approach for enterprises, guiding them through a maturity framework to accelerate their data-centric journey. This book addresses the “why,” the “what,” and the “how” of achieving this goal in measurable terms. It introduces key performance indicators (KPIs) such as total addressable value (TAV) and expected addressable value (EAV) through data to help measure the impact provided by the data pillar. This book also explores the symbiotic relationship between artificial intelligence (AI) and data, illustrating how both enable and benefit from each other. A case study by Rudiger Eck from Audi AG provides practical insights into the concepts and frameworks discussed. This book is an essential resource for business executives in both small to medium businesses (SMBs) and large enterprises, helping them navigate a highly complex and hypercompetitive business landscape while accelerating business value for their stakeholder communities.



The Orange Model Of Data Management


The Orange Model Of Data Management
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Author : Irina Steenbeek
language : en
Publisher:
Release Date : 2019-10-21

The Orange Model Of Data Management written by Irina Steenbeek and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-21 with categories.


*This book is a brief overview of the model and has only 24 pages.*Almost every data management professional, at some point in their career, has come across the following crucial questions:1. Which industry reference model should I use for the implementation of data managementfunctions?2. What are the key data management capabilities that are feasible and applicable to my company?3. How do I measure the maturity of the data management functions and compare that withthose of my peers in the industry4. What are the critical, logical steps in the implementation of data management?The "Orange" (meta)model of data management provides a collection of techniques and templates for the practical set up of data management through the design and implementation of the data and information value chain, enabled by a set of data management capabilities.This book is a toolkit for advanced data management professionals and consultants thatare involved in the data management function implementation.This book works together with the earlier published "The Data Management Toolkit". The "Orange" model assists in specifying the feasible scope of data management capabilities, that fits company's business goals and resources. "The Data Management Toolkit" is a practical implementation guide of the chosen data management capabilities.



The Enterprise Big Data Lake


The Enterprise Big Data Lake
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Author : Alex Gorelik
language : en
Publisher: O'Reilly Media
Release Date : 2019-02-21

The Enterprise Big Data Lake written by Alex Gorelik and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-21 with Computers categories.


The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries



The Discipline Of Data


The Discipline Of Data
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Author : Jerald Savin
language : en
Publisher: Taylor & Francis
Release Date : 2023-07-06

The Discipline Of Data written by Jerald Savin and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-06 with Business & Economics categories.


Pulling aside the curtain of ‘Big Data’ buzz, this book introduces C-suite and other non-technical senior leaders to the essentials of obtaining and maintaining accurate, reliable data, especially for decision-making purposes. Bad data begets bad decisions, and an understanding of data fundamentals — how data is generated, organized, stored, evaluated, and maintained — has never been more important when solving problems such as the pandemic-related supply chain crisis. This book addresses the data-related challenges that businesses face, answering questions such as: What are the characteristics of high-quality data? How do you get from bad data to good data? What procedures and practices ensure high-quality data? How do you know whether your data supports the decisions you need to make? This clear and valuable resource will appeal to C-suite executives and top-line managers across industries, as well as business analysts at all career stages and data analytics students.



Open Innovation And Knowledge Management In Small And Medium Enterprises


Open Innovation And Knowledge Management In Small And Medium Enterprises
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Author : Susanne Durst
language : en
Publisher: World Scientific
Release Date : 2018-01-30

Open Innovation And Knowledge Management In Small And Medium Enterprises written by Susanne Durst and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-30 with Technology & Engineering categories.


The book studies the interplay between open innovation and knowledge management issues in small and medium-sized enterprises (SMEs). With the proliferation of the open innovation paradigm and against the backdrop of increasing external knowledge transfer activities, knowledge management is more important than ever for innovation and firm performance of any type of organization. In fact, knowledge management is no longer a pure intra-organizational activity but constitutes a vital interface function between the organization and its external partners/stakeholders.Throughout the book, readers will obtain both a broad overview of the two main concepts namely open innovation and knowledge management and its interplay. In addition, research will be presented which will help the readers to develop and/or expand their understanding of the phenomenon. This broad approach can also support in broadening the mindset regarding the topic under investigation and its application. Thereby, this book will primarily focus on SMEs and their approach with respect to the interplay in question.In order to achieve the above-mentioned aim, the book consists of ten chapters that are assigned to three parts. Part 1 introduces to the main concepts, namely, SMEs, Open Innovation, Knowledge Management, and the interplay between open innovation and knowledge management in SMEs. This is followed by Part 2, which provides empirical research insights into the phenomenon of interest. The book concludes with Part 3 which addresses promising future avenues regarding the study of open innovation and knowledge management in SMEs. All the chapters are written by leading international researchers in the respective fields, which makes the book a unique piece of work.



Multi Domain Master Data Management


Multi Domain Master Data Management
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Author : Mark Allen
language : en
Publisher: Morgan Kaufmann
Release Date : 2015-03-21

Multi Domain Master Data Management written by Mark Allen and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-21 with Computers categories.


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. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration. - Provides a logical order toward planning, implementation, and ongoing management of multi-domain MDM from a program manager and data steward perspective. - Provides detailed guidance, examples and illustrations for MDM practitioners to apply these insights to their strategies, plans, and processes. - Covers advanced MDM strategy and instruction aimed at improving data quality management, lowering data maintenance costs, and reducing corporate risks by applying consistent enterprise-wide practices for the management and control of master data.



The Journey Continues From Data Lake To Data Driven Organization


The Journey Continues From Data Lake To Data Driven Organization
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Author : Mandy Chessell
language : en
Publisher: IBM Redbooks
Release Date : 2018-02-19

The Journey Continues From Data Lake To Data Driven Organization written by Mandy Chessell and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-19 with Computers categories.


This IBM RedguideTM publication looks back on the key decisions that made the data lake successful and looks forward to the future. It proposes that the metadata management and governance approaches developed for the data lake can be adopted more broadly to increase the value that an organization gets from its data. Delivering this broader vision, however, requires a new generation of data catalogs and governance tools built on open standards that are adopted by a multi-vendor ecosystem of data platforms and tools. Work is already underway to define and deliver this capability, and there are multiple ways to engage. This guide covers the reasons why this new capability is critical for modern businesses and how you can get value from it.



Data In Context


Data In Context
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Author : Bas van Gils
language : en
Publisher: Springer Nature
Release Date : 2023-07-31

Data In Context written by Bas van Gils and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Computers categories.


Data is an increasingly important asset for many organizations. This book shows how to model data in a way that allows to exploit this asset effectively and in every respect. To this end, it combines and exploits scientific (semiotics, relational model, etc.) and pragmatic theories (most prominently: the DAMA wheel) and provides a coherent overview from a business and an IT/ICT perspective. After a brief introduction, the remaining book consists of three parts. In Part I “Data”, the focus is on understanding data. It includes theories in semiotics, the relational model, and normalization, as well as related theories around understanding data/designing sound data structures. This part is complemented by an extensive chapter on how to design effective data structures and a smaller one on the topic of create versus use context. Part II “Data Management” then focuses on managing data as an asset. This part is based on the DMBOK and each of the functional areas is discussed in a separate chapter. Part III “Parting Thoughts” presents conclusions which are based on a synthesis of Part I and Part II, leading up to a summary of the main contributions of this book as well as a critical reflection on these results. This book is written for a rather broad audience, ranging from professionals to students, both from business, computer science, and information management. The writing style is adjusted specifically for these groups. At the end of each chapter reflection questions are included that distinguish between questions for practitioners and for students and help both audiences to benefit from the book and check their comprehension.