Organizations are being forced to undergo a digital transformation and this is creating a tumultuous period of change for them. Those that wish to win with data must implement a data culture - a complex undertaking. It requires an in-depth understanding of the data ecosystem, its components, and the interaction between people, process, technology, and data, to deliver business value. Data-Driven Leaders Always Win connects the dots across various data management fields, and their practical application, using real life experience that the author gained while leading enterprise-wide data management programs at the world's largest financial services company. Being data-savvy and data-driven are core skills for leaders and their organizations to win in the "Age of Data." Some areas you'll explore: - What are the opportunities and challenges that Big Data and IoT present? - What is Dark Data and why you must manage it better? - The dark side of Big Data and how it's impacting your organization. - The "Golden Square" and why every leader needs to learn about it and apply it. - Steps you cantake to win with data. - How leaders can develop a data culture within their organizations? Regardless of the industry vertical you are in - if you are a leader, aspire to be one, or wish to influence your leadership team, and move up the corporate ladder in the "Age of Data," then this book is for you."

Organizations are being forced to undergo a digital transformation and this is creating a tumultuous period of change for them. Those that wish to win with data must implement a data culture - a complex undertaking.

Data is your most valuable leadership asset—here's how to use it The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must: Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher.

A "how-to" guide to boosting sales through predictive and prescriptive analytics Data Driven is a uniquely practical guide to increasing sales success, using the power of data analytics. Written by one of the world's leading authorities on the topic, this book shows you how to transform the corporate sales function by leveraging big data into better decision-making, more informed strategy, and increased effectiveness throughout the organization. Engaging and informative, this book tells the story of a newly hired sales chief under intense pressure to deliver higher performance from her team, and how data analytics becomes the ultimate driver behind the sales function turnaround. Each chapter features insightful commentary and practical notes on the points the story raises, and one entire chapter is devoted solely to laying out the Prescriptive Action Model step-by-step giving you the actionable guidance you need to put it into action in your own organization. Predictive and prescriptive analytics is poised to change corporate sales, and companies that fail to adapt to the new realities and adopt the new practices will be left behind. This book explains why the Prescriptive Action Model is the key corporate sales weapon of the 21st Century, and how you can implement this dynamic new resource to bring value to your business. Exploit one of the last remaining sources of competitive advantage Re-engineer the sales function to optimize success rates Implement a more effective analytics model to drive efficient change Boost operational effectiveness and decision making with big data There are fewer competitive edges to gain than ever before. The only thing that's left is to execute business with maximum efficiency and make the smartest business decisions possible. Predictive analytics is the essential method behind this new standard, and Data Driven is the practical guide to complete, efficient implementation.

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.

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.

"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.

Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice. Provides the essential concept and framework to implement business analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big data intelligence into your business Companies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, Win with Advanced Analytics provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition.

“The foundation has been laid for fully autonomous,” Elon Musk announced in 2016, when he assured the world that Tesla would have a driverless fleet on the road in 2017. “It’s twice as safe as a human, maybe better.” Promises of technofuturistic driving utopias have been ubiquitous wherever tech companies and carmakers meet. In Autonorama: The Illusory Promise of High-Tech Driving, technology historian Peter Norton argues that driverless cars cannot be the safe, sustainable, and inclusive “mobility solutions” that tech companies and automakers are promising us. The salesmanship behind the driverless future is distracting us from investing in better ways to get around that we can implement now. Unlike autonomous vehicles, these alternatives are inexpensive, safe, sustainable, and inclusive. Norton takes the reader on an engaging ride —from the GM Futurama exhibit to “smart” highways and vehicles—to show how we are once again being sold car dependency in the guise of mobility. He argues that we cannot see what tech companies are selling us except in the light of history. With driverless cars, we’re promised that new technology will solve the problems that car dependency gave us—zero crashes! zero emissions! zero congestion! But these are the same promises that have kept us on a treadmill of car dependency for 80 years. Autonorama is hopeful, advocating for wise, proven, humane mobility that we can invest in now, without waiting for technology that is forever just out of reach. Before intelligent systems, data, and technology can serve us, Norton suggests, we need wisdom. Rachel Carson warned us that when we seek technological solutions instead of ecological balance, we can make our problems worse. With this wisdom, Norton contends, we can meet our mobility needs with what we have right now.

Build the bridge from data collection to improved instruction Students are people—not data. How can you use assessment data to focus on reaching every student? This book shows how to develop a common language for sharing all students’ progress with all teachers and leaders, and how to use ongoing assessment to inform instruction. Based on worldwide research of more than 500 educators, the book presents solutions organized by: Assessment Instruction Leadership Ownership The many benefits of personalizing data include increased student engagement and a positive impact on school culture. This reader-friendly guide helps you set goals, adjust lessons, identify students’ strengths and weaknesses, and implement interventions.