Data Strategy

Data Strategy
Author: Bernard Marr
Publsiher: Kogan Page Publishers
Total Pages: 200
Release: 2017-04-03
ISBN: 0749479868
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Data Strategy Book Excerpt:

Less than 0.5 per cent of all data is currently analysed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.

Data Strategy in Colleges and Universities

Data Strategy in Colleges and Universities
Author: Kristina Powers
Publsiher: Routledge
Total Pages: 202
Release: 2019-10-31
ISBN: 042979441X
Category: Education
Language: EN, FR, DE, ES & NL

Data Strategy in Colleges and Universities Book Excerpt:

This valuable resource helps institutional leaders understand and implement a data strategy at their college or university that maximizes benefits to all creators and users of data. Exploring key considerations necessary for coordination of fragmented resources and the development of an effective, cohesive data strategy, this book brings together professionals from different higher education experiences and perspectives, including academic, administration, institutional research, information technology, and student affairs. Focusing on critical elements of data strategy and governance, each chapter in Data Strategy in Colleges and Universities helps higher education leaders address a frustrating problem with much-needed solutions for fostering a collaborative, data-driven strategy.

Modern Data Strategy

Modern Data Strategy
Author: Mike Fleckenstein,Lorraine Fellows
Publsiher: Springer
Total Pages: 263
Release: 2018-02-12
ISBN: 3319689932
Category: Computers
Language: EN, FR, DE, ES & NL

Modern Data Strategy Book Excerpt:

This book contains practical steps business users can take to implement data management in a number of ways, including data governance, data architecture, master data management, business intelligence, and others. It defines data strategy, and covers chapters that illustrate how to align a data strategy with the business strategy, a discussion on valuing data as an asset, the evolution of data management, and who should oversee a data strategy. This provides the user with a good understanding of what a data strategy is and its limits. Critical to a data strategy is the incorporation of one or more data management domains. Chapters on key data management domains—data governance, data architecture, master data management and analytics, offer the user a practical approach to data management execution within a data strategy. The intent is to enable the user to identify how execution on one or more data management domains can help solve business issues. This book is intended for business users who work with data, who need to manage one or more aspects of the organization’s data, and who want to foster an integrated approach for how enterprise data is managed. This book is also an excellent reference for students studying computer science and business management or simply for someone who has been tasked with starting or improving existing data management.

Data Strategy and the Enterprise Data Executive

Data Strategy and the Enterprise Data Executive
Author: Peter Aiken ,Todd Harbour
Publsiher: Technics Publications
Total Pages: 135
Release: 2017-06-06
ISBN: 1634622197
Category: Big data
Language: EN, FR, DE, ES & NL

Data Strategy and the Enterprise Data Executive Book Excerpt:

Master a proven approach to create, implement, and sustain a data strategy. Pervasive, data is a unique organizational resource, and this distinction warrants its own strategy. Data, representing your single non-depletable, non-degradable, durable strategic asset, is likely also your most poorly leveraged and underutilized organizational asset. Lack of talent, barriers in organizational thinking, and seven specific data sins prevent most organizations from benefiting fully from their data asset investments. Solving these prerequisites will allow your organization to: Improve your organization’s data; Improve the way your people use data; and Improve the way your people use data to achieve your organizational strategy. This method better focuses data and thinking in direct support of strategic objectives. After eliminating necessary prerequisites, organizations can develop a disciplined and repeatable means of improving their data, literacy, standards, and controls using data governance practices. Once in place, the process (based on the theory of constraints) becomes a variant of lather, rinse, and repeat. Several complementary concepts covered include: An overview of data strategy prerequisites; A repeatable process for identifying and removing data constraints; Why data strategy is necessary for effective data governance; Balancing operational results with capability development; An objective definition of data-centric thinking; and Ways to monetize these efforts.

Data Science Strategy For Dummies

Data Science Strategy For Dummies
Author: Ulrika Jägare
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2019-06-12
ISBN: 1119566274
Category: Computers
Language: EN, FR, DE, ES & NL

Data Science Strategy For Dummies Book Excerpt:

All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the “what” and the “why” of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you’ll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it’s important Adopt a data-driven mindset as the foundation to success Understand the processes and common roadblocks behind data science Keep your data science program focused on generating business value Nurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.

Practical DataOps

Practical DataOps
Author: Harvinder Atwal
Publsiher: Apress
Total Pages: 275
Release: 2019-12-09
ISBN: 1484251040
Category: Computers
Language: EN, FR, DE, ES & NL

Practical DataOps Book Excerpt:

Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making. Practical DataOps shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output. The book provides an approach to eliminate wasted effort and improve collaboration between data producers, data consumers, and the rest of the organization through the adoption of lean thinking and agile software development principles. This book helps you to improve the speed and accuracy of analytical application development through data management and DevOps practices that securely expand data access, and rapidly increase the number of reproducible data products through automation, testing, and integration. The book also shows how to collect feedback and monitor performance to manage and continuously improve your processes and output. What You Will LearnDevelop a data strategy for your organization to help it reach its long-term goals Recognize and eliminate barriers to delivering data to users at scale Work on the right things for the right stakeholders through agile collaboration Create trust in data via rigorous testing and effective data management Build a culture of learning and continuous improvement through monitoring deployments and measuring outcomes Create cross-functional self-organizing teams focused on goals not reporting lines Build robust, trustworthy, data pipelines in support of AI, machine learning, and other analytical data products Who This Book Is For Data science and advanced analytics experts, CIOs, CDOs (chief data officers), chief analytics officers, business analysts, business team leaders, and IT professionals (data engineers, developers, architects, and DBAs) supporting data teams who want to dramatically increase the value their organization derives from data. The book is ideal for data professionals who want to overcome challenges of long delivery time, poor data quality, high maintenance costs, and scaling difficulties in getting data science output and machine learning into customer-facing production.

Innovation Through Information Systems

Innovation Through Information Systems
Author: Frederik Ahlemann
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030867900
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Innovation Through Information Systems Book Excerpt:

Data Governance Success

Data Governance Success
Author: Rupa Mahanti
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 9811650861
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Data Governance Success Book Excerpt:

Big Data

Big Data
Author: John Storm Pedersen,Adrian Wilkinson
Publsiher: Edward Elgar Publishing
Total Pages: 416
Release: 2019
ISBN: 1788112350
Category: Political Science
Language: EN, FR, DE, ES & NL

Big Data Book Excerpt:

Promise, Application and Pitfalls

Problem Solving Strategies for Efficient and Elegant Solutions Grades 6 12

Problem Solving Strategies for Efficient and Elegant Solutions  Grades 6 12
Author: Alfred S. Posamentier,Stephen Krulik
Publsiher: Corwin Press
Total Pages: 260
Release: 2008-03-20
ISBN: 1412959705
Category: Education
Language: EN, FR, DE, ES & NL

Problem Solving Strategies for Efficient and Elegant Solutions Grades 6 12 Book Excerpt:

Looks at ten different strategies that can be used to solve mathematical problems as well as real-life problems.

Strategy

Strategy
Author: Brad MacKay,Mikko Arevuo,Maureen Meadows,David Mackay
Publsiher: Oxford University Press, USA
Total Pages: 768
Release: 2020-03-13
ISBN: 0198779429
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Strategy Book Excerpt:

What does strategy mean to a Head of Ethics, Sustainability, and Governance in a globally-leading asset management company in London? How does the Chair of a not-for-profit community interest company, which supports women in Scotland to thrive in business, use learning to shape strategy? How is innovation, digitalization, and disruption viewed by the CEO of a Singaporean fintech start-up? Strategy: Theory, Practice, Implementation represents a new breed of textbook for this discipline. Developed in consultation with lecturers, students, and professionals, the book's research-driven Process-Practice Model of Strategy places implementation at its core, enabling students to develop a crystal clear understanding of how strategy operates in a culture of dynamism, adaptability, and change. The authors' wealth of teaching, research, and practitioner experience shines through in their writing as they strike the perfect balance between clarity and rigour. They expertly cover all the core areas of strategy, using carefully paced, step-by-step guidance to apply theories and models of strategy to a diverse range of examples, making the text the most practical of its kind. Moving beyond the limits of traditional texts, Strategy offers unique Practitioner Insights (and accompanying video interviews) gathered from professionals engaged in a range of strategic roles, across multiple industries and sectors worldwide, to help students grasp the complex reality of strategic management in practice. Strategy: Theory, Practice, Implementation ultimately provides students with a lively, critical, and highly practical approach to thinking, talking, and acting like a strategist. This text will inspire them and fully prepare them for their future career in business. Online resources accompaning the textbook include: For registered adopters: - A test bank - PowerPoint slides - Answers to, or guidance on, the chapter-opening case study questions in the book - A series of 'Boardroom Challenges' for use in group role play exercises / action learning simulations - Teaching notes on using the 'Boardroom Challenges' in class For students: - Video interviews with the practitioners from the Practitioner Insights, and further videos providing advice on how students can enhance their employability. - Research Insights to broaden students' perspectives of academic research and its impact on strategic thinking - Links to articles, cases, chapters, or multimedia resources to support students' further reading - Additional case studies with exercises or discussion questions - Video interviews with the authors in which they discuss key theories and implementation issues - MCQs - Guidance on how to analyse a case study - Flashcard glossary

Dataproof Your School

Dataproof Your School
Author: Richard Selfridge,James Pembroke
Publsiher: Sage Publications UK
Total Pages: 192
Release: 2022-01-12
ISBN: 1529788757
Category: Education
Language: EN, FR, DE, ES & NL

Dataproof Your School Book Excerpt:

Collecting and analysing data to monitor and challenge school standards is an increasingly important – and unavoidable – aspect of our education system. But how do we ensure we are generating useful information to support learning and make informed decisions, and not needlessly ramping up workload? This book will guide you through the different types of data schools can, and should, generate; how to make the best use of it, and what to avoid. From standardised tests and teacher assessment, to managing data and developing a data strategy, this book will equip you with the tools you need to dataproof your school. Richard Selfridge is a primary school teacher, data consultant and writer on education James Pembroke is a data analyst, blogger and consultant with 15 year’s experience working with education data. He now works for Insight Tracking.

OECD Digital Government Studies Digital Government in Chile A Strategy to Enable Digital Transformation

OECD Digital Government Studies Digital Government in Chile     A Strategy to Enable Digital Transformation
Author: OECD
Publsiher: OECD Publishing
Total Pages: 96
Release: 2019-10-01
ISBN: 9264363475
Category: Electronic Book
Language: EN, FR, DE, ES & NL

OECD Digital Government Studies Digital Government in Chile A Strategy to Enable Digital Transformation Book Excerpt:

This study assesses the evolution, achievements and challenges in the design and implementation of digital government strategies in Chile since 2004. It aims to support the Government of Chile in framing and implementing future strategic decisions and developing digital capacity throughout the public sector. In particular, it looks at how Chile can build a whole-of-government approach to embed digital approaches into everyday government operations.

The Chief Data Officer s Playbook

The Chief Data Officer s Playbook
Author: Caroline Carruthers,Peter Jackson
Publsiher: Facet Publishing
Total Pages: 248
Release: 2020-12-20
ISBN: 178330474X
Category: Business & Economics
Language: EN, FR, DE, ES & NL

The Chief Data Officer s Playbook Book Excerpt:

This fully revised and updated edition of the bestselling Chief Data Officer’s Playbook offers new insights into the role of the CDO and the data environment. Written by two of the world’s leading experts in data driven transformation, it addresses the changes that have taken place in ‘data’, in the role of the ‘CDO’, and the expectations and ambitions of organisations. Most importantly, it will place the role of the CDO into the context of a c-suite player for organisations that wish to recover quickly and with long-term stability from the current global economic downturn. New coverage includes: - the evolution of the CDO role, what those changes mean for organisations and individuals, and what the future might hold - a focus on ethics, the data revolution and all the areas that help readers take their first steps on the data journey - new conversations and experiences from an alumni of data leaders compiled over the past three years - new chapters and reflections on being a third generation CDO and on working across a broad spectrum of organisations who are all on different parts of their data journey. Written in a highly accessible and practical manner, The Chief Data Officer’s Playbook, Second Edition brings the most up-to-date guidance to CDO’s who wish to understand their position better; to those aspiring to become CDO’s; to those who might be recruiting a CDO and to recruiters to understand an organisation seeking a CDO and the CDO landscape.

Applied Big Data Analytics in Operations Management

Applied Big Data Analytics in Operations Management
Author: Kumar, Manish
Publsiher: IGI Global
Total Pages: 251
Release: 2016-09-30
ISBN: 1522508872
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Applied Big Data Analytics in Operations Management Book Excerpt:

Operations management is a tool by which companies can effectively meet customers’ needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the challenges and creative solutions and tools to apply when using big data in operations management. Outlining revolutionary concepts and applications that help businesses predict customer behavior along with applications of artificial neural networks, predictive analytics, and opinion mining on business management, this comprehensive publication is ideal for IT professionals, software engineers, business professionals, managers, and students of management.

The Analytics Lifecycle Toolkit

The Analytics Lifecycle Toolkit
Author: Gregory S. Nelson
Publsiher: John Wiley & Sons
Total Pages: 464
Release: 2018-03-07
ISBN: 1119425107
Category: Business & Economics
Language: EN, FR, DE, ES & NL

The Analytics Lifecycle Toolkit Book Excerpt:

An evidence-based organizational framework for exceptional analytics team results The Analytics Lifecycle Toolkit provides managers with a practical manual for integrating data management and analytic technologies into their organization. Author Gregory Nelson has encountered hundreds of unique perspectives on analytics optimization from across industries; over the years, successful strategies have proven to share certain practices, skillsets, expertise, and structural traits. In this book, he details the concepts, people and processes that contribute to exemplary results, and shares an organizational framework for analytics team functions and roles. By merging analytic culture with data and technology strategies, this framework creates understanding for analytics leaders and a toolbox for practitioners. Focused on team effectiveness and the design thinking surrounding product creation, the framework is illustrated by real-world case studies to show how effective analytics team leadership works on the ground. Tools and templates include best practices for process improvement, workforce enablement, and leadership support, while guidance includes both conceptual discussion of the analytics life cycle and detailed process descriptions. Readers will be equipped to: Master fundamental concepts and practices of the analytics life cycle Understand the knowledge domains and best practices for each stage Delve into the details of analytical team processes and process optimization Utilize a robust toolkit designed to support analytic team effectiveness The analytics life cycle includes a diverse set of considerations involving the people, processes, culture, data, and technology, and managers needing stellar analytics performance must understand their unique role in the process of winnowing the big picture down to meaningful action. The Analytics Lifecycle Toolkit provides expert perspective and much-needed insight to managers, while providing practitioners with a new set of tools for optimizing results.

The Application of Artificial Intelligence

The Application of Artificial Intelligence
Author: Zoltán Somogyi
Publsiher: Springer Nature
Total Pages: 431
Release: 2021-03-11
ISBN: 3030600327
Category: Computers
Language: EN, FR, DE, ES & NL

The Application of Artificial Intelligence Book Excerpt:

This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to machine learning and artificial intelligence, the chapters in Part II present deeper explanations of machine learning algorithms, performance evaluation of machine learning models, and how to consider data in machine learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then explain machine learning by example, he offers cases from real-world applications, problems, and techniques, such as anomaly detection and root cause analyses, business process improvement, detecting and predicting diseases, recommendation AI, several engineering applications, predictive maintenance, automatically classifying datasets, dimensionality reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AI-TOOLKIT, software he developed that allows the reader to test and study the examples in the book and the application of machine learning in professional environments. The author introduces core machine learning concepts and supports these with practical examples of their use, so professionals will appreciate his approach and use the book for self-study. It will also be useful as a supplementary resource for advanced undergraduate and graduate courses on machine learning and artificial intelligence.

Green IT Strategies and Applications

Green IT Strategies and Applications
Author: Bhuvan Unhelkar
Publsiher: CRC Press
Total Pages: 480
Release: 2016-04-19
ISBN: 1439837813
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Green IT Strategies and Applications Book Excerpt:

Bhuvan Unhelkar takes you on an all-encompassing voyage of environmental sustainability and Green IT. Sharing invaluable insights gained during two battle-tested decades in the information and communication technologies industry, he provides a comprehensive examination of the wide-ranging aspects of Green IT-from switching-off monitors, virtualizin

Tech Trends in Practice

Tech Trends in Practice
Author: Bernard Marr
Publsiher: John Wiley & Sons
Total Pages: 304
Release: 2020-05-18
ISBN: 1119646197
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Tech Trends in Practice Book Excerpt:

Discover how 25 powerful technology trends are transforming 21st century businesses How will the latest technologies transform your business? Future Tech Trends in Practice will give you the knowledge of today’s most important technology trends, and how to take full advantage of them to grow your business. The book presents25 real-world technology trends along with their potential contributions to organisational success. You’ll learn how to integrate existing advancements and plan for those that are on the way. In this book, best-selling author, strategic business advisor, and respected futurist Bernard Marr explains the role of technology in providing innovative businesses solutions for companies of varying sizes and across different industries. He covers wide-ranging trends and provides an overview of how companies are using these new and emerging technologies in practice. You, too, can prepare your company for the potential and power of trending technology by examining these and other areas of innovation described in Future Tech Trends in Practice: Artificial intelligence, including machine and deep learning The Internet of Things and the rise of smart devices Self-driving cars and autonomous drones 3D printing and additive manufacturing Blockchain technology Genomics and gene editing Augmented, virtual and mixed reality When you understand the technology trends that are driving success, now and into the future, you’ll be better positioned to address and solve problems within your organisation.

OECD Digital Government Studies The Path to Becoming a Data Driven Public Sector

OECD Digital Government Studies The Path to Becoming a Data Driven Public Sector
Author: OECD
Publsiher: OECD Publishing
Total Pages: 200
Release: 2019-11-28
ISBN: 9264625275
Category: Electronic Book
Language: EN, FR, DE, ES & NL

OECD Digital Government Studies The Path to Becoming a Data Driven Public Sector Book Excerpt:

This report highlights the important role data can play in creating conditions that improve public services, increase the effectiveness of public spending and inform ethical and privacy considerations. It presents a data-driven public sector framework that can help countries or organisations assess the elements needed for using data to make better-informed decisions across public sectors.