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Culture Analytics : An Evidence-Based Approach to Company Culture
How can I take a data-driven approach to company culture?What should I measure and which metrics should I focus on?How can people analytics and behavioural science impact culture?Based on insights from the largest ever behavioural research study which examined the organizational impact of 220+ behaviours from 60 organizations, across 61 countries, Culture Analytics provides an evidence-based approach to organizational culture.It outlines the leading and lagging culture indicators, explains how to identify actionable insights from your people and culture data as well as how to apply predictive analytics to company culture.There is also guidance on the 30 employee behaviours which have the most impact on company culture and how to apply behavioural science interventions to drive these in your organization.The second part of the book covers key areas where culture analytics can be applied to drive business performance.These areas include talent acquisition and retention, employee engagement, EDI (equity, diversity and inclusion), wellbeing, psychological safety as well as resilience, strategy, innovation, change management and risk.Full of practical advice, this book also includes real world examples from Barclays, Pfizer, American Airlines, EDF Energy, Saudi Telecom Company, Cisco and Ethiad Airways.Making the complex world of people analytics and behavioural science accessible and applicable to all senior HR professionals and business leaders, Culture Analytics shows how to take a robust, evidence-based approach to company culture to drive workforce and organizational performance and deliver tangible business value.
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Data Analytics Initiatives : Managing Analytics for Success
The categorisation of analytical projects could help to simplify complexity reasonably and, at the same time, clarify the critical aspects of analytical initiatives.But how can this complex work be categorized? What makes it so complex?Data Analytics Initiatives: Managing Analytics for Success emphasizes that each analytics project is different.At the same time, analytics projects have many common aspects, and these features make them unique compared to other projects.Describing these commonalities helps to develop a conceptual understanding of analytical work.However, features specific to each initiative affects the entire analytics project lifecycle.Neglecting them by trying to use general approaches without tailoring them to each project can lead to failure. In addition to examining typical characteristics of the analytics project and how to categorise them, the book looks at specific types of projects, provides a high-level assessment of their characteristics from a risk perspective, and comments on the most common problems or challenges.The book also presents examples of questions that could be asked of relevant people to analyse an analytics project.These questions help to position properly the project and to find commonalities and general project challenges.
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Urban Analytics
The economic and political situation of cities has shifted in recent years in light of rapid growth amidst infrastructure decline, the suburbanization of poverty and inner city revitalization.At the same time, the way that data are used to understand urban systems has changed dramatically. Urban Analytics offers a field-defining look at the challenges and opportunities of using new and emerging data to study contemporary and future cities through methods including GIS, Remote Sensing, Big Data and Geodemographics. Written in an accessible style and packed with illustrations and interviews from key urban analysts, this is a groundbreaking new textbook for students of urban planning, urban design, geography, and the information sciences.
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Business Analytics
Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E.You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills.Real examples and memorable visuals clearly illustrate data and results.Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics.Practical, relevant problems at all levels of difficulty let you apply what you've learned.Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment.MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.
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Prior Analytics
"This volume is an impressive tour de force. It is state-of-the-art Aristotle: it employs the most recent philological, philosophical, and logical advances which since the 1970’s at least have rendered previous translations and commentaries obsolete.The translation is the first to take account of the recent epistemically orientated natural-deduction approach, which restores Aristotle’s reputation as a consummate logician and reveals much more of Aristotle’s method than previous approaches.Every page of Robin Smith’s commentary shows extensive learning, taste, imagination, and skill. . . . An important and lasting contribution, not only to Aristotle scholarship and to the history of logic, but also to the history of philosophy itself." --John Corcoran, SUNY Buffalo
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Cultural Analytics
A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data.How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards?In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data.Drawing on more than a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.
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Mastering Project Discovery : Successful Discipline in Engineering and Analytics Projects
Introducing a comprehensive approach to invigorate project leadership, this book provides a framework – the OUtCoMES Cycle – for developing, managing, advancing, and optimizing engineering and analytics projects. All too often, issues of moral hazard and completion bias prevent engineering and analytics managers and team leaders from asking the critical question 'What’s the problem?', before committing time, energy, and resources to solve it.This book draws attention to the definition, structuring, option consideration and ultimately the addressing of the right problems, exploring the OUtCoMES Cycle framework that facilitates and energizes systematic thinking, knowledge sharing, and on-the-fly adjustment with an explicit focus on the maximization of value and ROI.Each chapter includes discussions and lessons in analytical and engineering problem identification, problem structuring, iterative problem development (mental and computational) and problem resolution, at least three embedded real-world case studies, and a closing 'Practitioner’s Recap' to contextualize key chapter takeaways. Written by a team of established academic scholars and practicing analysts and engineers, this is an accessible and culture-shifting action guide for instructors interested in training the next generation of project and analytics leaders, students of analytics and engineering, as well as practicing project leaders and principals.
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Augmented Analytics : Enabling Analytics Transformation for Data-Informed Decisions
Augmented Analytics isn't just another book on data and analytics; it's a holistic resource for reimagining how your entire organization interacts with information so that it becomes insight-driven. Go beyond traditional, limited ways of making sense of data.Augmented Analytics provides a dynamic, actionable strategy for improving your organization's analytical capabilities.With this book, you can infuse your workflows with intelligent automation and modern artificial intelligence, empowering more team members to make informed, data-driven decisions. Be aware: This book is not just about adding another forecast to your dashboard.It goes deeper, presenting a holistic approach to fostering a data-driven culture of analytics excellence throughout your organization. You'll explore:Key elements and building blocks of augmented analytics, including its benefits, potential challenges, and relevance in today's business landscapeBest practices for preparing and implementing augmented analytics in your organization, including analytics roles, mindset, toolset, and skill setBest practices for data enablement, liberalization, trust, and accessibilityHow to apply a use case approach to drive business value and use augmented analytics as an enabler, with selected case studiesDrawing on extensive, real-world experience leading large organizations through this transformation, the authors provide a clear, actionable path to accelerate your organization's journey to analytical excellence.
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