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The Journey Continues: From Data Lake to Data-Driven Organization

Author: Mandy Chessell

Publisher: IBM Redbooks

Published: 2018-02-19

Total Pages: 30

ISBN-13: 0738456667

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.

Be Data Driven

Author: Jordan Morrow

Publisher: Kogan Page Publishers

Published: 2022-08-03

Total Pages: 241

ISBN-13: 1398606553

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Make any team or business data driven with this practical guide to overcoming common challenges and creating a data culture. Businesses are increasingly focusing on their data and analytics strategy, but a data-driven culture grounded in evidence-based decision making can be difficult to achieve. Be Data Driven outlines a step-by-step roadmap to building a data-driven organization or team, beginning with deciding on outcomes and a strategy before moving onto investing in technology and upskilling where necessary. This practical guide explains what it means to be a data-driven organization and explores which technologies are advancing data and analytics. Crucially, it also examines the most common challenges to becoming data driven, from a foundational skills gap to issues with leadership and strategy and the impact of organizational culture. With case studies of businesses who have successfully used data, Be Data Driven shows managers, leaders and data professionals how to address hurdles, encourage a data culture and become truly data driven.

Introduction to Ethics

Author: Chhanda Chakraborti

Publisher: Springer Nature

Published: 2023-09-17

Total Pages: 783

ISBN-13: 9819907071

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The book introduces the reader to western ethics as a subject, along with its three standard subdivisions. Although the book is written with university students, policymakers, and professionals in mind, the book is lucid enough to be accessible to most adult readers. The book begins with introductions to the basics of ethics. These chapters are meant to provide the reader with the background knowledge necessary for understanding the more technical chapters on metaethics, normative ethics theories, and applied ethics, the three well-known subdivisions within ethics. The chapters that follow take up core ethical issues from each of these areas. The sections focus on explanation and a critical understanding of the ethical issue. The chapters also have examples, cases, and exercises to encourage critical thinking and to enable the reader to grasp the issue better. The book has tried to bring contemporary issues, such as ethics of human organ transplantation, and contemporary theories, such as Amartya Sen’s concept of Justice and Martha Nussbaum’s Capabilities Approach, to engage the readers with ethics in the real world. The book concludes with applied ethics, but with the example of ethics of artificial intelligence. The aim is to keep ethics as a future-driven activity and to emphasize the need to understand the real-world ethical situations and dilemmas that will affect the stakeholders all around the world in the coming years as artificial intelligence and data-driven technologies change our everyday life.

Creating a Data-Driven Organization

Author: Carl Anderson

Publisher: "O'Reilly Media, Inc."

Published: 2015-07-23

Total Pages: 300

ISBN-13: 1491916885

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"What do you need to become a data-driven organization? Far more than having big data or a crack team of unicorn data scientists, it requires establishing an effective, deeply-ingrained data culture. This practical book shows you how true data-drivenness involves processes that require genuine buy-in across your company ... Through interviews and examples from data scientists and analytics leaders in a variety of industries ... Anderson explains the analytics value chain you need to adopt when building predictive business models"--Publisher's description.

Creating a Data-driven Organization

Author: Carl Anderson

Publisher:

Published: 2015

Total Pages:

ISBN-13: 9781491916902

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Practical Enterprise Data Lake Insights

Author: Saurabh Gupta

Publisher: Apress

Published: 2018-07-29

Total Pages: 335

ISBN-13: 1484235223

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Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues. When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data. Starting from sourcing data into the Hadoop ecosystem, you will go through stages that can bring up tough questions such as data processing, data querying, and security. Concepts such as change data capture and data streaming are covered. The book takes an end-to-end solution approach in a data lake environment that includes data security, high availability, data processing, data streaming, and more. Each chapter includes application of a concept, code snippets, and use case demonstrations to provide you with a practical approach. You will learn the concept, scope, application, and starting point. What You'll Learn Get to know data lake architecture and design principles Implement data capture and streaming strategies Implement data processing strategies in Hadoop Understand the data lake security framework and availability model Who This Book Is For Big data architects and solution architects

Big Data for Big Decisions

Author: Krishna Pera

Publisher: CRC Press

Published: 2022-12-30

Total Pages: 266

ISBN-13: 1000816893

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Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and business case to be prepared and evaluated prior to approval. This book presents a step-by-step methodology in order to create a roadmap and business case, and provides a narration of the constraints and experiences of managers who have attempted the setting up of DDOs. The emphasis is on the big decisions – the key decisions that influence 90% of business outcomes – starting from decision first and reengineering the data to the decisions process-chain and data governance, so as to ensure the right data are available at the right time, every time. Investing in artificial intelligence and data-driven decision making are now being considered a survival necessity for organizations to stay competitive. While every enterprise aspires to become 100% data-driven and every Chief Information Officer (CIO) has a budget, Gartner estimates over 80% of all analytics projects fail to deliver intended value. Most CIOs think a data-driven organization is a distant dream, especially while they are still struggling to explain the value from analytics. They know a few isolated successes, or a one-time leveraging of big data for decision making does not make an organization data-driven. As of now, there is no precise definition for data-driven organization or what qualifies an organization to call itself data-driven. Given the hype in the market for big data, analytics and AI, every CIO has a budget for analytics, but very little clarity on where to begin or how to choose and prioritize the analytics projects. Most end up investing in a visualization platform like Tableau or QlikView, which in essence is an improved version of their BI dashboard that the organization had invested into not too long ago. The most important stakeholders, the decision-makers, are rarely kept in the loop while choosing analytics projects. This book provides a fail-safe methodology for assured success in deriving intended value from investments into analytics. It is a practitioners’ handbook for creating a step-by-step transformational roadmap prioritizing the big data for the big decisions, the 10% of decisions that influence 90% of business outcomes, and delivering material improvements in the quality of decisions, as well as measurable value from analytics investments. The acid test for a data-driven organization is when all the big decisions, especially top-level strategic decisions, are taken based on data and not on the collective gut feeling of the decision makers in the organization.

Cloud Data Lakes for Dummies, Snowflake Special Edition (Custom)

Author: David Baum

Publisher: For Dummies

Published: 2019-11-19

Total Pages: 48

ISBN-13: 9781119666240

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What is a modern cloud data lake? How it compares to other analytics solutions Tips for choosing a cloud data lake Get insights fast from all your data by all your users with a cloud data lake The concept of first-generation data lakes aimed to create a single repository for storing, integrating, and analyzing all of an organization's data. As years passed, reality set in and most data lake initiatives failed. Today, organizations still want to achieve that aim: a cloud data lake that is simple yet powerful, flexible and affordable, and provides unparalleled business value. Read this book to learn how the modern cloud data lake provides all of this and more to enable data-driven decision-making across your organization. Inside... Why the cloud data lake emerged How to evaluate different data lakes How to easily enable a modern data lake with the modern data platform How to maximize scale and lower costs Why data security, governance, and sovereignty are data lake essentials How a data lake enables data sharing

The Data-driven Organization

Author: Jonas Rashedi

Publisher: Springer Nature

Published: 2022-12-11

Total Pages: 132

ISBN-13: 3031206045

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Data has become an indispensable success factor for every company. However, the road towards a data-driven organization is paved with numerous challenges. This book presents a process model for the path to a data-driven company and provides recommendations for the design of all relevant fields of action: Which structures need to be created? Which systems and processes have proven beneficial? How can the quality of the data be ensured and what requirements exist for a data-driven organization in the areas of governance and communication? And last but not least: How can employees be brought along on the journey and what implications does the data-driven organization have for our corporate culture? The book presents an orientation and action framework for the strategic and operational design of a data-driven organization and is valuable for managers who are involved in data management in companies and organizations.

Data Driven Business Transformation

Author: Peter Jackson

Publisher: John Wiley & Sons

Published: 2019-05-28

Total Pages: 294

ISBN-13: 1119543150

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OPTIMIZE YOUR BUSINESS DATA FOR FIRST-CLASS RESULTS Data Driven Business Transformation illustrates how to find the secrets to fast adaptation and disruptive origination hidden in your data and how to use them to capture market share. Digitalisation – or the Digital Revolution – was the first step in an evolving process of analysis and improvement in the operations and administration of commerce. The popular author team of Caroline Carruthers and Peter Jackson, two global leaders in data transformation and education, pick up the conversation here at the next evolutionary step where data from these digital systems generates value, and really use data science to produce tangible results. Optimise the performance of your company through data-driven processes by: Following step-by-step guidance for transitioning your company in the real world to run on a data-enabled business model Mastering a versatile set of data principles powerful enough to produce transformative results at any stage of a business’s development Winning over the hearts of your employees and influencing a cultural shift to a data-enabled business Reading first-hand stories from today’s thought leaders who are shaping data transformation at their companies Enable your company’s data to lift profits with Data Driven Business Transformation.