Book guides
Lead Teams & Organizations
The craft of leading people — and leading a team in any function.
1–40 of 131
← All guides- The Bicycle Guide toAdvanced Database MarketingAn edited collection of advanced methods and applications in database marketing, equipping analysts and researchers with innovative techniques to analyze complex customer data and manage customer relationships in the modern digital landscape.
- The Bicycle Guide toAn Introduction to Performance Analysis of SportA practical and academic introduction to sports performance analysis that teaches coaches, analysts and researchers how to design analysis systems, gather reliable performance data, and turn it into actionable feedback that improves preparation and performance.
- The Bicycle Guide toAn Introduction to Statistical Learning: with Applications in RA practical, accessible introduction to statistical learning that teaches the major supervised and unsupervised methods for understanding and predicting from data, with hands-on Python labs.
- The Bicycle Guide toAnalytic Methods in Sports Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other…This textbook provides a comprehensive introduction to the mathematical and statistical methods used in modern sports analytics, teaching readers how to describe, analyze, and model sports data to understand performance, recognize trends, and predict results.
- The Bicycle Guide toAnxiety at Work: 8 Strategies to Help Teams Build Resilience, Handle Uncertainty, and Get Stuff DoneA practical leadership guide showing managers how to identify, reduce, and prevent workplace anxiety using eight evidence-based strategies that build resilience and improve team performance.
- The Bicycle Guide toArtificial Intelligence in Finance A Python-Based GuideA practical guide to using Artificial Intelligence, particularly neural networks and reinforcement learning with Python, to discover and exploit statistical and economic inefficiencies in financial markets, challenging the Efficient Market Hypothesis.
- The Bicycle Guide toBenchmarking Best Practices in Maintenance ManagementA comprehensive guide for transforming reactive, wasteful maintenance departments into proactive, strategic, and profit-generating business functions by implementing a structured framework of best practices and benchmarking.
- The Bicycle Guide toBenchmarking Maintenance MgmtA practitioner's guide to treating maintenance as a core business process and using disciplined benchmarking of best practices to move a maintenance organization from reactive firefighting to reliability-focused, profit-contributing world-class performance.
- The Bicycle Guide toBusiness Applications of Operations ResearchThis book demonstrates how to use mathematical Operations Research techniques and software to solve a wide range of common business problems and optimize decision-making across various management functions.
- The Bicycle Guide toCLC Selecting HR MetricsA structured four-step process for selecting HR metrics that align with corporate and human capital strategy so HR can demonstrate its business impact.
- The Bicycle Guide toCoaching Knowledges Understanding the Dynamics of Sport PerformanceAn edited collection arguing that effective sports coaching is a complex, dynamic social process shaped by cultural, relational, and knowledge-based forces rather than a straightforward transfer of technical instruction.
- The Bicycle Guide toCompany of One: Why Staying Small Is the Next Big Thing for BusinessA manifesto and practical guide arguing that questioning growth and staying small on purpose is a smarter, more resilient, and more profitable way to build a business and a life.
- The Bicycle Guide toCustomer Accounting Creating Value with Customer AnalyticsA concise guide showing how firms and investors can create and measure value by treating customers as their most valuable intangible asset through Customer Lifetime Value and Customer Equity analytics.
- The Bicycle Guide toData Analysis Python: Excel for Supply Chain The ultimate analytics guide for Supply Chain 2024 (Supply Chain Analytica)A practical guide for supply chain professionals on using Python and Excel to analyze data, optimize operations, and make informed, data-driven decisions across all supply chain functions.
- The Bicycle Guide toData Analytics for Business Lessons for Sales, Marketing, and StrategyA seasoned practitioner's collection of essays translating advanced analytics, machine learning, and big data techniques into real-world sales, marketing, and strategy applications across industries.
- The Bicycle Guide toData Mesh Delivering Data-Driven Value at Scale (Final Release)A decentralized sociotechnical approach for managing analytical data at scale that shifts ownership to business domains, treats data as a product, and is supported by a self-serve platform and federated computational governance.
- The Bicycle Guide toData Science for Marketing AnalyticsA hands-on, end-to-end guide to applying Python data science techniques—from cleaning raw data to clustering, regression, and classification—to solve real marketing problems like segmentation, customer value prediction, and churn.
- The Bicycle Guide toData Science for Supply Chain ForecastingA hands-on, do-it-yourself guide showing supply chain practitioners how to build, tune, and manage their own statistical and machine learning demand forecasting models in Excel and Python.
- The Bicycle Guide toData-Driven Marketing: The 15 Metrics Everyone in Marketing Should KnowA practical guide showing that focusing on just 15 essential marketing metrics lets any organization measure, justify, and radically improve marketing performance and gain competitive advantage.
- The Bicycle Guide toDeveloping Performance Indicators for Managing MaintenanceA comprehensive guide for managers to transform their maintenance department from a reactive cost center into a proactive, strategic driver of corporate profitability by implementing a hierarchical system of best practices and performance indicators.
- The Bicycle Guide toDIGITAL MARKETING ANALYTICS In Theory And In PracticeA practitioner-scholar's guide to becoming a successful digital marketing analyst by mastering the art and science of collecting, analyzing, and visually communicating consumer data.
- The Bicycle Guide toEquipment Management in the Post-Maintenance Era A New Alternative to Total Productive Maintenance (TPM)A guide for engineering and manufacturing leaders to transition from outdated, siloed maintenance practices to a modern, integrated 'platform ownership' model to optimize the performance and utilization of complex, high-tech equipment.
- The Bicycle Guide toExcellence in People AnalyticsA comprehensive guide for HR and business leaders on how to build and scale a people analytics function that uses workforce data to deliver tangible business value, based on a nine-part framework and illustrated with case studies from leading global companies.
- The Bicycle Guide toFinancial Data Analytics with Machine Learning, Optimization and Statistics with Machine Learning, Optimization and StatisticsA comprehensive guide for finance professionals and students on applying modern statistical models and machine learning techniques, with practical Python and R code, to analyze financial data for risk management, investment strategies, and fraud detection.
- The Bicycle Guide toFinancial Forecasting, Analysis, and Modelling A Framework for Long-Term ForecastingA step-by-step, Excel-based framework for building long-term corporate financial forecasting models and layering in uncertainty through sensitivity, scenario, and Monte Carlo analysis.
- The Bicycle Guide toFinancial Modeling - 2nd EditionA practical 'cookbook' that provides step-by-step recipes for implementing common and essential financial models in Microsoft Excel.
- The Bicycle Guide toFinancial Modeling, 3rd EditionA comprehensive, practical guide that teaches finance students and professionals how to build and implement a wide range of financial models using Microsoft Excel.
- The Bicycle Guide toFinancial Planning: Analysis and Performance ManagementA comprehensive and practical guide for finance professionals to transform Financial Planning & Analysis (FP&A) from a backward-looking reporting function into a forward-looking, strategic partner that drives business performance and creates shareholder value.
- The Bicycle Guide toFootball Analytics with Python: RA practical guide to applying statistical modeling and data science techniques using Python and R to analyze American football data for purposes ranging from team analysis to sports betting and fantasy football.
- The Bicycle Guide toGame of Edges The Analytics Revolution and the Future of Professional SportsThe story of how professional sports franchises transformed from casually run hobbies into data-driven, optimized businesses—and how the very analytics that made them win threatens the emotional, aesthetic, and communal appeal that made sports beloved in the first place.
- The Bicycle Guide toGoogle Analytics and GA4: Improve Your Online Sales by Better Understanding Customer DataA beginner-friendly guide that teaches small business owners how to set up, navigate, and use Google Analytics and GA4 to understand customer behavior and improve online sales.
- The Bicycle Guide toHandbook of Graphs and Networks in People AnalyticsA practical handbook teaching the theory and applied methods of graph and network analysis for studying people, groups and organizations, with worked examples in R and Python.
- The Bicycle Guide toHandbook of Marketing Scales Multi-Item Measures for Marketing and Consumer Behavior ResearchA comprehensive reference compendium of psychometrically validated multi-item measurement scales for marketing and consumer behavior research, organized by topical domain.
- The Bicycle Guide toHandbook of Regression Modeling in People Analytics With Examples in R and PythonA practical handbook that teaches people analytics practitioners how to select, run, interpret and validate the full family of regression models using R and Python.
- The Bicycle Guide toHandbook of Research on Intelligent Techniques and Modeling Applications in Marketing AnalyticsThis handbook presents a diverse collection of research applying intelligent computational techniques like fuzzy logic, neural networks, and multi-criteria decision making to solve complex marketing analytics problems, from customer segmentation to e-commerce forecasting.
- The Bicycle Guide toHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlowA hands-on, code-first guide that teaches the concepts, tools, and techniques needed to build intelligent systems using Scikit-Learn, Keras, and TensorFlow, from fundamental ML algorithms to deep learning.
- The Bicycle Guide toHigh Output ManagementA practicing CEO teaches managers that their true output is the output of their team, and shows how applying production principles, leverage, and motivation systematically raises that output.
- The Bicycle Guide toHR Analytics and Innovations in Workforce PlanningA practitioner's workbook showing how to transform old retrospective manpower planning into strategic, predictive HR Analytics that creates measurable, bottom-line value.
- The Bicycle Guide toInfluence: The Psychology of PersuasionAn experimental social psychologist reveals the six universal psychological principles that drive automatic human compliance and shows how to recognize and defend against their exploitation.
- The Bicycle Guide toInnovators Dilemma ChristensenWell-managed, successful companies fail to stay atop their industries because the very management practices that make them successful also prevent them from developing the disruptive technologies that ultimately usurp their markets.