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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.
A practical guide for today's chief data officers to define and manage 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. In this book, Sunil Soares provides a practical guide for today's chief data officers to manage data as an asset while delivering the trusted data required to power business initiatives, from the tactical to the transformative. The guide describes the relationship between the CDO and the data governance team, whose task is the formulation of policy to optimize, secure, and leverage information as an enterprise asset by aligning the objectives of multiple functions. Soares provides unique insight into the role of the CDO and presents a blueprint for implementing data governance successfully within the context of the position. With practical advice CDOs need, this book helps establish new data governance practices or mature existing practices.
Who needs to know about Chief data officer ? Why are Chief data officer skills important? What are your key Chief data officer organizational performance measures, including key short and longer-term financial measures? Is there a recommended audit plan for routine surveillance inspections of Chief data officer's gains? Will Chief data officer deliverables need to be tested and, if so, by whom? This on-of-a-kind Chief data officer self-assessment will make you the trusted Chief data officer domain adviser by revealing just what you need to know to be fluent and ready for any Chief data officer challenge. How do I reduce the effort in the Chief data officer work to be done to get problems solved? How can I ensure that plans of action include every Chief data officer task and that every Chief data officer outcome is in place? How will I save time investigating strategic and tactical options and ensuring Chief data officer opportunity costs are low? How can I deliver tailored Chief data officer 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 Chief data officer essentials are covered, from every angle: the Chief data officer self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Chief data officer outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Chief data officer practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Chief data officer are maximized with professional results. Your purchase includes access details to the Chief data officer self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Using case studies and hands-on activities, this book discusses topics in information governance (IG): recognizing hidden development and operational implications of IG--and why it needs to be integrated in the broader organization; integrating IG activities with transactional processing, BI, MDM, and other enterprise information management functions; the information governance organization: defining roles, launching projects, and integrating with ongoing operations; performing IG in transactional projects, including those using agile methods and COTS products; bringing stronger information governance to MDM: strategy, architecture, development, and beyond; governing information throughout the BI or big data project lifecycle; performing ongoing IG and data stewardship operational processes; auditing and enforcing data quality management in the context of enterprise information management; maintaining and evolving metadata management for maximum business value. -- $c Edited summary from book.
CIO Survival Guide is a leadership manual for the emerging role of the Chief Information Officer. This book supports and guides CIOs in acquiring or enhancing their technical skills and leadership competencies to be a full and respected member of the Executive Team. It includes exposition and practice of the skills and competencies required to be a successful CIO.
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.
Innovate your way toward growth using practical, research-backed frameworks The Art of Opportunity offers a path toward new growth, providing the perspective and methods you need to make innovation happen. Written by a team of experts with both academic and industry experience—and a client roster composed of some of the world’s leading companies—this book provides you with the necessary tools to help you capture growth instead of chasing it. The visual frameworks and research-based methodology presented in The Art of Opportunity merge business design thinking and strategic innovation to help you change your growth paradigm. You’ll learn creative and practical methods for exploring growth opportunities and employ a new approach for identifying what “opportunity” looks like in the first place. Put aside the old school way of focusing on new products and new markets, to instead applying value creation to find your new opportunity, craft your offering, design your strategy and build new growth ventures. The changing business ecosystem is increasingly pushing traditional thinking out to pasture. New consumers and the new marketplace are demanding a profound adjustment to the way companies plan and execute growth strategies. This book gives you the tools to create your roadmap toward the new state of growth, and gain invaluable insight into a new way of thinking. The Art of Opportunity will help you to: Start looking at business growth from a new perspective Create value for the customers, company and ecosystem Innovate strategically and design new business models Develop a new active business design thinking approach to innovation Your company’s goal is to grow, and to turn non-customers into customers. The old ways are becoming less tenable and less cost-effective. The Art of Opportunity outlines the new growth paradigm and gives you a solid framework for putting new ideas into practice.
Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.