Chief Data Officer Training

  chief data officer training: The Case for the Chief Data Officer Peter Aiken, Michael M. Gorman, 2013-04-22 Data are an organization's sole, non-depletable, non-degrading, durable asset. Engineered right, data's value increases over time because the added dimensions of time, geography, and precision. To achieve data's full organizational value, there must be dedicated individual to leverage data as assets - a Chief Data Officer or CDO who's three job pillars are: - Dedication solely to leveraging data assets, - Unconstrained by an IT project mindset, and - Reports directly to the business Once these three pillars are set into place, organizations can leverage their data assets. Data possesses properties worthy of additional investment. Many existing CDOs are fatally crippled, however, because they lack one or more of these three pillars. Often organizations have some or all pillars already in place but are not operating in a coordinated manner. The overall objective of this book is to present these pillars in an understandable way, why each is necessary (but insufficient), and what do to about it. - Uncovers that almost all organizations need sophisticated, comprehensive data management education and strategies. - Delivery of organization-wide data success requires a highly focused, full time Chief Data Officer. - Engineers organization-wide data advantage which enables success in the marketplace
  chief data officer training: Data Leadership Anthony J. Algmin, 2020-10-14 Data has never been more important to your success than it is today, yet you are surrounded with data you can't trust, and the overwhelming burden of fixing it. Everyone deserves data that helps-not hurts-their organization.
  chief data officer training: The Chief Data Officer's Playbook Caroline Carruthers, Peter Jackson, 2020-12-20 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.
  chief data officer training: DAMA-DMBOK Dama International, 2017 Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.
  chief data officer training: Big Data MBA Bill Schmarzo, 2015-12-11 Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.
  chief data officer training: Data Driven Business Transformation Peter Jackson, Caroline Carruthers, 2019-05-28 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.
  chief data officer training: Message Not Received Phil Simon, 2015-03-02 Get your message across the right way with clear communication Message Not Received provides the tools and techniques that make an effective writer and public speaker. Particularly on topics related to data and technology, effective communication can present a challenge in business settings. This book shows readers how those challenges can be overcome, and how to keep the message from getting lost in the face of mismatched levels of knowledge, various delivery media, and the library of jargon that too often serves as a substitute for real, meaningful language. Coverage includes idea crystallization, the rapidly changing business environment, Kurzweil's law of accelerating change, and our increasing inability to understand what we are saying to each other. Rich with visuals including diagrams, slides, graphs, charts, and infographics, this guide provides accessible information and actionable guidance toward more effectively conveying the message. Today, few professionals can ignore the tsunami of technology that permeates their lives, advancing far more rapidly that most of us can handle. As a result, too many people think that successful speaking means using buzzwords, jargon, and invented words that sound professional, but don't actually communicate meaning. This book provides a path through the noise, helping readers get their message across succinctly, efficiently, and effectively. Adapt your approach for more effective communication Learn the critical skill of crystallizing ideas Tailor your style to the method of delivery Ensure that your message is heard, understood, and internalized It doesn't matter whether you're pitching to a venture capitalist, explaining daily challenges to a non-tech manager, or speaking to hundreds of people – jargon-filled word salad uses a lot of words to say very little. Better communication requires a different approach, and Message Not Received gives you a roadmap to more effective speaking and writing for any audience or medium.
  chief data officer training: Street Data Shane Safir, Jamila Dugan, 2021-02-12 Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on fixing and filling academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.
  chief data officer training: The Chief Development Officer Ronald J. Schiller, 2021-05-15 The Chief Development Officer: Beyond Fundraising is a guide not only to those preparing for or serving in the role of CDO but also to those charged with selecting, appointing, and supporting CDOs. It includes ten chapters, each presenting a role beyond frontline fundraising and fundraising program management in which today’s top CDOs excel: Relationship Builder in Chief; Shaper of a Culture that Embraces Philanthropic Partnership; Visible Leader in Diversity, Equity, and Inclusion; Strategist and Planner; Trusted Advisor on Board Matters; Thought Partner; Visionary and Confident Sight Raiser; Resilient Optimist; Talent Magnet; and Mentor, Sponsor, and Ally to Future CDOs. Each chapter includes a description of the elements of the role, illustrations of how CDOs excel, and advice on preparing for the role. The book encourages anyone with an interest in the CDO position to take steps to prepare well ahead of stepping into the position. It also encourages mentors, supervisors, and other industry leaders to identify those with potential for success in the CDO role, provide resources such as this book, and create opportunities for them to gain experience and skill that they will need when they step into this complex, challenging, yet extremely important and deeply rewarding role.
  chief data officer training: Executive Data Science Roger Peng, 2016-08-03 In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You'll get a crash course in data science so that you'll be conversant in the field and understand your role as a leader. You'll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You'll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you'll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.
  chief data officer training: Data Governance John Ladley, 2019-11-08 Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. - Incorporates industry changes, lessons learned and new approaches - Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations - Includes new case studies which detail real-world situations - Explores all of the capabilities an organization must adopt to become data driven - Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional - Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities - Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy - Provides up to 75% brand-new content compared to the first edition
  chief data officer training: Non-Invasive Data Governance Robert S. Seiner, 2014-09-01 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 and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.
  chief data officer training: Fail Fast, Learn Faster Randy Bean, 2021-08-31 Explore why — now more than ever — the world is in a race to become data-driven, and how you can learn from examples of data-driven leadership in an Age of Disruption, Big Data, and AI In Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, Fortune 1000 strategic advisor, noted author, and distinguished thought leader Randy Bean tells the story of the rise of Big Data and its business impact – its disruptive power, the cultural challenges to becoming data-driven, the importance of data ethics, and the future of data-driven AI. The book looks at the impact of Big Data during a period of explosive information growth, technology advancement, emergence of the Internet and social media, and challenges to accepted notions of data, science, and facts, and asks what it means to become data-driven. Fail Fast, Learn Faster includes discussions of: The emergence of Big Data and why organizations must become data-driven to survive Why becoming data-driven forces companies to think different about their business The state of data in the corporate world today, and the principal challenges Why companies must develop a true data culture if they expect to change Examples of companies that are demonstrating data-driven leadership and what we can learn from them Why companies must learn to fail fast and learn faster to compete in the years ahead How the Chief Data Officer has been established as a new corporate profession Written for CEOs and Corporate Board Directors, data professional and practitioners at all organizational levels, university executive programs and students entering the data profession, and general readers seeking to understand the Information Age and why data, science, and facts matter in the world in which we live, Fail Fast, Learn Faster p;is essential reading that delivers an urgent message for the business leaders of today and of the future.
  chief data officer training: DW 2.0: The Architecture for the Next Generation of Data Warehousing W.H. Inmon, Derek Strauss, Genia Neushloss, 2010-07-28 DW 2.0: The Architecture for the Next Generation of Data Warehousing is the first book on the new generation of data warehouse architecture, DW 2.0, by the father of the data warehouse. The book describes the future of data warehousing that is technologically possible today, at both an architectural level and technology level. The perspective of the book is from the top down: looking at the overall architecture and then delving into the issues underlying the components. This allows people who are building or using a data warehouse to see what lies ahead and determine what new technology to buy, how to plan extensions to the data warehouse, what can be salvaged from the current system, and how to justify the expense at the most practical level. This book gives experienced data warehouse professionals everything they need in order to implement the new generation DW 2.0. It is designed for professionals in the IT organization, including data architects, DBAs, systems design and development professionals, as well as data warehouse and knowledge management professionals. - First book on the new generation of data warehouse architecture, DW 2.0 - Written by the father of the data warehouse, Bill Inmon, a columnist and newsletter editor of The Bill Inmon Channel on the Business Intelligence Network - Long overdue comprehensive coverage of the implementation of technology and tools that enable the new generation of the DW: metadata, temporal data, ETL, unstructured data, and data quality control
  chief data officer training: Data Science Strategy For Dummies Ulrika Jägare, 2019-06-12 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.
  chief data officer training: The Chief Diversity Officer Damon A. Williams, Katrina C. Wade-Golden, 2023-07-03 This volume addresses the role of chief diversity officers as coordinating and integrating diversity leaders in higher education and other sectors.Having established in a companion volume the parameters for an effective diversity strategy, the authors address such questions as: What is a chief diversity officer? How might we create dynamic chief diversity officer infrastructures? What models of CDO structure exist in the academy? What misperceptions often confound the work of officers and the institutions they work within? What key competencies are necessary to lead as a CDO? How does the CDO role compare across higher education, non-profit, and corporate sectors? And how might the role serve as an important contributor to a collaborative vision for change and transformation in the academy?This book begins by delineating the evolution of the chief diversity officer role in the academy. Drawing on extensive qualitative and quantitative research on CDOs conducted for the purposes of this volume, it describes how the scope and responsibilities are variously defined at the organizations where the position has been created, and offers insights into the complexities and challenges of the role.On the basis of this data and the literature on organizational design and change management, the authors define the requisite skills, knowledge and background to be effective, review the alternative organizational and governance structures under which CDOs operate, and in so doing present the Chief Diversity Officer Development Framework as a basis for recruiting candidates, for structuring the position to succeed, and for providing prospective and incumbent CDOs with a realistic sense of the scope of the role.This title is also available in a set with its companion volume, Strategic Diversity Leadership.
  chief data officer training: Driven by Data Paul Bambrick-Santoyo, 2010-04-12 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.
  chief data officer training: CDO Chief Daddy Officer Christos Efessiou, Persephone Efessiou, 2011-09-28 In your hands is the manual for raising children. Who says you can't be professionally successful and a good parent? Stop compromising. Satisfying work and a happy family? Yes, you can have it all. Chris Efessiou is the innovative, brazen mentor that every working parent needs. As an astute business leader, Chris learned early on that the skills he acquired in the boardroom transitioned seamlessly to the family room. Leading by example, mentoring, team building, mutual respect, accountability and trust are strategies that are equally effective when dealing with employees or assertive teens. By tuning into the message of CDO Chief Daddy Officer, you can be the same organized, effective leader at home that you are at the office, because you will learn how to harness your business smarts and channel them into proactive parenting. Being professionally ambitious and a loving, emotionally available parent are not mutually exclusive, the author emphasizes, because one costs the other nothing. Chris candidly shares his stories about raising his daughter to show how he was able to employ his business savvy to navigate the world of preadolescent years, and how you can do the same. No matter where you are in your parenting, the age of your children, or your present relationship with them, CDO Chief Daddy Officer will teach you how to apply the principals that guide the most successful business minds to raise happy, productive, well-adjusted, unentitled, successful adults who will want an ongoing loving relationship with their parents. TWO THINGS THAT MAKE THIS BOOK A ONE-OF-A-KIND READ: - CDO Chief Daddy Officer is a comprehensive blueprint that teaches you how to achieve success at home using fail-proof business tactics. - The book offers a wealth of tips, illustrative examples and easy-to-follow strategies to help translate business savvy into smart parenting.
  chief data officer training: The 4 Disciplines of Execution Chris McChesney, Sean Covey, Jim Huling, 2016-04-12 BUSINESS STRATEGY. The 4 Disciplines of Execution offers the what but also how effective execution is achieved. They share numerous examples of companies that have done just that, not once, but over and over again. This is a book that every leader should read! (Clayton Christensen, Professor, Harvard Business School, and author of The Innovator s Dilemma). Do you remember the last major initiative you watched die in your organization? Did it go down with a loud crash? Or was it slowly and quietly suffocated by other competing priorities? By the time it finally disappeared, it s likely no one even noticed. What happened? The whirlwind of urgent activity required to keep things running day-to-day devoured all the time and energy you needed to invest in executing your strategy for tomorrow. The 4 Disciplines of Execution can change all that forever.
  chief data officer training: Chief Officer International Association of Fire Chiefs, National Fire Protection Association, 2011-08-08 The Complete Fire Officer III and IV Training Solution! Chief officers need to know how to make the transition from company officer to chief officer. Chief Officer: Principles and Practice is designed to help make the transition from company officer to chief officer a smooth evolution. Covering the entire scope of Levels III and IV from the 2009 Edition of NFPA 1021, Standard for Fire Officer Professional Qualifications, Chief Officer combines current content with dynamic features and interactive technology to better support instructors and to help prepare future chief officers to become problem-solving leaders for their organizations. Chief Officer: Principles and Practice has a clear focus on instilling fire fighter safety throughout an organization’s culture. Reducing fire fighter injuries and deaths requires the dedicated efforts of every fire fighter, fire officer, and fire department. The entire fire community must work together to achieve one common goal: to ensure that everyone goes home. Chief officers therefore set the tone for safety in their organization, and this textbook embraces that philosophy. It is with this goal in mind that the 16 Firefighter Life Safety Initiatives, developed by the National Fallen Firefighters Foundation, are integrated throughout the text. The features in this textbook will help students take that extra step toward becoming outstanding chief officers. These features include: • Scenario-Based Learning. You Are the Chief Officer and Chief Officer in Action are found in each chapter to encourage and foster critical thinking skills. • Practical Tips for the Chief Officer. Chief Officer Tips and Voices of Experience essays are integrated into each chapter to provide helpful advice from experienced chief officers. • Level IV Job Performance Requirements. Fire Officer Level IV content is highlighted to discern Level III JPRs from Level IV. • Walk the Talk. Additional activities encourage students to take what they have learned in the chapter and apply it to their own department.
  chief data officer training: The Self-Service Data Roadmap Sandeep Uttamchandani, 2020-09-10 Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization
  chief data officer training: Data Smart John W. Foreman, 2013-10-31 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.
  chief data officer training: Innopolis University - From Zero to Hero Manuel Mazzara, Giancarlo Succi, Alexander Tormasov, 2022-07-26 This open access book describes the development of Innopolis, a young Russian university established in 2012 to focus on teaching excellence in computer science, engineering, and robotics. It reports on the problems that were faced in the first decade of its development, and the adopted solutions. It shows how the key aspects for the development of the faculty, the curricula, the university structure, and the challenge of internationalization have been successfully addressed by the university management and professors, and how the solutions are scalable for other newly founded research organizations. The book is divided in five parts: “The Beginning” describes the very early days in general, from the foundation and start-up of the university with the related processes. “The People” reports on the initial hiring of the faculty members, the selection of students, and the curriculum development. “The Activities” provide information about the creation of the single research institutions and labs, and their relation to industry. “The Future” gives an outlook on the planned internationalization and faculty strategy. Eventually, “A Visual Journey” shows a selection of photographs illustrating highlights of the whole process and the current achievements. The processes and the components described built the basis for the development of Innopolis, and many of them still have a big impact on its present and its future. The fewer mistakes are made at the beginning, the higher the probability to fully achieve the initial goals.
  chief data officer training: Creating a Data-Driven Organization Carl Anderson, 2015-07-23 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.
  chief data officer training: Explicit Direct Instruction (EDI) John R. Hollingsworth, Silvia E. Ybarra, 2009 A proven method for better teaching, better learning, and better test scores! This teacher-friendly book presents a step-by-step approach for implementing the Explicit Direct Instruction (EDI) approach in diverse classrooms. Based on educational theory, brain research, and data analysis, EDI helps teachers deliver effective lessons that can significantly improve achievement all grade levels. The authors discuss characteristics of EDI, such as checking for understanding, lesson objectives, activating prior knowledge, concept and skills development, and guided practice, and provide: Clearly defined lesson design components Detailed sample lessons Easy-to-follow lesson delivery strategies Scenarios that illustrate what EDI techniques look like in the classroom
  chief data officer training: Leveraging Data in Healthcare Rebecca Mendoza Saltiel Busch, 2017-07-27 The healthcare industry is in a state of accelerated transition. The proliferation of data and its assimilation, access, use, and security are ever-increasing challenges. Finding ways to operationalize business and clinical data management in the face of government and market mandates is enough to keep most chief officers up at night!Leveraging Dat
  chief data officer training: Becoming a Data Head Alex J. Gutman, Jordan Goldmeier, 2021-04-13 Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful. Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage You've heard the hype around data—now get the facts. In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it. You'll learn how to: Think statistically and understand the role variation plays in your life and decision making Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace Understand what's really going on with machine learning, text analytics, deep learning, and artificial intelligence Avoid common pitfalls when working with and interpreting data Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently readable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
  chief data officer training: The Chief Learning Officer Tamar Elkeles, Jack J. Phillips, 2007 NEW - TAMAR ELKELES WINS PRESTIGIOUS AWARD! Tamar Elkeles, vice president of Qualcomm Learning Center and co-author of The Chief Learning Officer, has been named 2010 CLO of the Year by Chief Learning Officer magazine Since she began with the company in 1992, Tamar Elkeles has built the Qualcomm Learning Center from a one-person operation into a sophisticated, integrated and innovative strategic resource for the organization said Norm Kamikow, president and editor in chief of Chief Learning Officer magazine. Congratulations Tamar! ------ New business realities and customer demands, coupled with new technologies in a changing competitive landscape are causing corporate learning departments to rethink their value, role, and impact in the organization. In a constantly changing business landscape with limited resources and tight budgets, learning must be viewed as essential to a successful achievement of business goals. The individual driving this function, the Chief Learning Officer (CLO), is in a unique position to add significant value to the organization. The role of the CLO is to drive value, focusing on issues such as business alignment, managing resources, innovation, customer service and ROI. The challenge is to show value to the organization in terms that business leaders and financial analysts can understand and appreciate. Written from the perspective of the CLO, this book discusses nine important value-adding strategies, making up this critical role of the CLO of the future. At least twenty high profile CLOs provide their strategies on each of these issues. This book is essential reading for both the training and HR communities who need to show the value and connect learning to the business. This book shows the value that can be achieved in the organization if it is managed and organized properly and the appropriate leadership is provided.
  chief data officer training: Data Analytics and Digital Transformation Erik Beulen, Marla A. Dans, 2023-12-01 Understanding the significance of data analytics is paramount for digital transformation but in many organizations they are separate units without fully aligned goals. As organizations are applying digital transformations to be adaptive and agile in a competitive environment, data analytics can play a critical role in their success. This book explores the crossroads between them and how to leverage their connection for improved business outcomes. The need to collaborate and share data is becoming an integral part of digital transformation. This not only creates new opportunities but also requires well-considered and continuously assessed decision-making as competitiveness is at stake. This book details approaches, concepts, and frameworks, as well as actionable insights and good practices, including combined data management and agile concepts. Critical issues are discussed such as data quality and data governance, as well as compliance, privacy, and ethics. It also offers insights into how both private and public organizations can innovate and keep up with growing data volumes and increasing technological developments in the short, mid, and long term. This book will be of direct appeal to global researchers and students across a range of business disciplines, including technology and innovation management, organizational studies, and strategic management. It is also relevant for policy makers, regulators, and executives of private and public organizations looking to implement successful transformation policies.
  chief data officer training: Emergency Response Guidebook U.S. Department of Transportation, 2013-06-03 Does the identification number 60 indicate a toxic substance or a flammable solid, in the molten state at an elevated temperature? Does the identification number 1035 indicate ethane or butane? What is the difference between natural gas transmission pipelines and natural gas distribution pipelines? If you came upon an overturned truck on the highway that was leaking, would you be able to identify if it was hazardous and know what steps to take? Questions like these and more are answered in the Emergency Response Guidebook. Learn how to identify symbols for and vehicles carrying toxic, flammable, explosive, radioactive, or otherwise harmful substances and how to respond once an incident involving those substances has been identified. Always be prepared in situations that are unfamiliar and dangerous and know how to rectify them. Keeping this guide around at all times will ensure that, if you were to come upon a transportation situation involving hazardous substances or dangerous goods, you will be able to help keep others and yourself out of danger. With color-coded pages for quick and easy reference, this is the official manual used by first responders in the United States and Canada for transportation incidents involving dangerous goods or hazardous materials.
  chief data officer training: The Data and Analytics Playbook Lowell Fryman, Gregory Lampshire, Dan Meers, 2016-08-12 The Data and Analytics Playbook: Proven Methods for Governed Data and Analytic Quality 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 to provide faster, higher quality delivery of mission critical programs. Drawing upon years of practical experience, and using numerous examples and an easy to understand playbook, Lowell Fryman, Gregory Lampshire, and Dan Meers discuss a simple, proven approach to the execution of multiple data oriented activities. In addition, they present a clear set of methods to provide reliable governance, controls, risk, and exposure management for enterprise data and the programs that rely upon it. In addition, they discuss a cost-effective approach to providing sustainable governance and quality outcomes that enhance project delivery, while also ensuring ongoing controls. Example activities, templates, outputs, resources, and roles are explored, along with different organizational models in common use today and the ways they can be mapped to leverage playbook data governance throughout the organization. - Provides a mature and proven playbook approach (methodology) to enabling data governance that supports agile implementation - Features specific examples of current industry challenges in enterprise risk management, including anti-money laundering and fraud prevention - Describes business benefit measures and funding approaches using exposure based cost models that augment risk models for cost avoidance analysis and accelerated delivery approaches using data integration sprints for application, integration, and information delivery success
  chief data officer training: The AI Advantage Thomas H. Davenport, 2019-08-06 Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.
  chief data officer training: Strengthening U.S. Air Force Human Capital Management National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Board on Human-Systems Integration, Committee on Strengthening U.S. Air Force Human Capital Management, 2021-03-02 The USAir Force human capital management (HCM) system is not easily defined or mapped. It affects virtually every part of the Air Force because workforce policies, procedures, and processes impact all offices and organizations that include Airmen and responsibilities and relationships change regularly. To ensure the readiness of Airmen to fulfill the mission of the Air Force, strategic approaches are developed and issued through guidance and actions of the Office of the Deputy Chief of Staff for Manpower, Personnel and Services and the Office of the Assistant Secretary of the Air Force for Manpower and Reserve Affairs. Strengthening US Air Force Human Capital Management assesses and strengthens the various U.S. Air Force initiatives and programs working to improve person-job match and human capital management in coordinated support of optimal mission capability. This report considers the opportunities and challenges associated with related interests and needs across the USAF HCM system as a whole, and makes recommendations to inform improvements to USAF personnel selection and classification and other critical system components across career trajectories. Strengthening US Air Force Human Capital Management offers the Air Force a strategic approach, across a connected HCM system, to develop 21st century human capital capabilities essential for the success of 21st century Airmen.
  chief data officer training: Journey to Data Quality Yang W. Lee, 2006 All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level--installing the latest software or developing an expensive data warehouse--solve the basic problem of bad data quality practices. Journey to Data Qualityoffers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them. The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.
  chief data officer training: Legal Division Handbook Federal Law Enforcement Training Center. Legal Division, 2010 The mission of the Federal Law Enforcement Training Center (FLETC) is to serve as the federal government's leader for and provider of world-class law enforcement training.
  chief data officer training: Big Data on Campus Karen L. Webber, Henry Y. Zheng, 2020-11-03 Webber, Henry Y. Zheng, Ying Zhou
  chief data officer training: Effective Data Storytelling Brent Dykes, 2019-12-10 Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data stories Learn the fundamental elements of a data story and key audience drivers Understand the differences between how the brain processes facts and narrative Structure your findings as a data narrative, using a four-step storyboarding process Incorporate the seven essential principles of better visual storytelling into your work Avoid common data storytelling mistakes by learning from historical and modern examples Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators.
  chief data officer training: Chief Officer: Principles and Practice David J. Purchase, 2015-12-18 Chief officers need to know how to make the transition from company officer to chief officer. Chief Officer: Principles and Practice is designed to help make the transition from company officer to chief officer a smooth evolution. Covering the entire scope of Levels III and IV from the 2014 Edition of NFPA 1021, Standard for Fire Officer Professional Qualifications, Chief Officer: Principles and Practice is your complete Fire Officer III & IV training solution
  chief data officer training: Technology Leadership for Innovation in Higher Education Qian, Yufeng, Huang, Guiyou, 2019-02-15 Higher education today faces several challenges including soaring cost, rising student debt, declining state support, and a staggering dropout rate. Digital technology enables numerous paths to innovation and promising solutions to these crises in higher education. However, few efforts have been made to look into the dynamic relationship between technology, innovation, and leadership and how they work together to transform teaching and learning, campus life, student service and support, administration, and university advancement. Technology Leadership for Innovation in Higher Education is a pivotal reference source that provides vital research on the intersection of technology, innovation, and leadership in higher education by examining the role of technology in activating, promoting, and accelerating innovation and by identifying challenges regarding technology leadership. While highlighting topics such as blended teaching, faculty development, and university advancement, this publication is ideally designed for teachers, principals, educational and IT management and staff, researchers, students, and stakeholders in higher education seeking current research on critical leadership dimensions required for effective education leaders.
  chief data officer training: Kirkpatrick's Four Levels of Training Evaluation James D. Kirkpatrick, Wendy Kayser Kirkpatrick, 2016-10-01 A timely update to a timeless model. Don Kirkpatrick's groundbreaking Four Levels of Training Evaluation is the most widely used training evaluation model in the world. Ask any group of trainers whether they rely on the model's four levels Reaction, Learning, Behavior, and Results in their practice, and you'll get an enthusiastic affirmation. But how many variations of Kirkpatrick are in use today? And what number of misassumptions and faulty practices have crept in over 60 years? The reality is: Quite a few. James and Wendy Kirkpatrick have written Kirkpatrick's Four Levels of Training Evaluation to set the record straight. Delve into James and Wendy's new findings that, together with Don Kirkpatrick's work, create the New World Kirkpatrick Model, a powerful training evaluation methodology that melds people with metrics. In Kirkpatrick's Four Levels of Training Evaluation, discover a comprehensive blueprint for implementing the model in a way that truly maximizes your business's results. Using these innovative concepts, principles, techniques, and case studies, you can better train people, improve the way you work, and, ultimately, help your organization meet its most crucial goals.
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