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🔍 Data-Driven Hiring

Rethinking recruitment through analytics and structured evaluation, aiming to reduce bias and find better talent by letting data inform every stage of the process.
Data-Driven HR
by Bernard Marr • 2018
How to turn employee data into sharper hiring and better retention: the HR analytics playbook.
3.51
45
📊 People Analytics🎯 Strategic Hr🗺️ Data Strategy🤖 AI In Business📋 Talent Acquisition
Data-Driven HR Summary
Data-Driven HR 92%
How to turn employee data into sharper hiring and better retention: the HR analytics playbook.
by Bernard Marr 2018
3.51
45 ratings
📊 People Analytics🎯 Strategic Hr🗺️ Data Strategy🤖 AI In Business📋 Talent Acquisition
Hire With Your Head
by Lou Adler • 1998
One interview question, asked twice, that reveals more about a candidate than ten shallow ones.
3.99
625
🧑‍💼 Talent Acquisition📋 Structured Hiring🔍 Evidence-Based Hiring✅ Candidate Assessment🎤 Behavioral Interviewing
Hire With Your Head Summary
Hire With Your Head 92%
One interview question, asked twice, that reveals more about a candidate than ten shallow ones.
by Lou Adler 1998
3.99
625 ratings
🧑‍💼 Talent Acquisition📋 Structured Hiring🔍 Evidence-Based Hiring✅ Candidate Assessment🎤 Behavioral Interviewing
Who
by Geoff Smart • 2008
Hiring fails half the time; mistakes cost 15x salary. The system that flips the odds.
3.96
8k+
🧲 Talent Acquisition📋 Hiring Frameworks🎙️ Behavioral Interviewing🎯 Predicting Performance📊 Evidence-Based Management
Who Summary
Who 92%
Hiring fails half the time; mistakes cost 15x salary. The system that flips the odds.
by Geoff Smart 2008
3.96
8k+ ratings
🧲 Talent Acquisition📋 Hiring Frameworks🎙️ Behavioral Interviewing🎯 Predicting Performance📊 Evidence-Based Management
The Rare Find
by George Anders • 2011
The people your hiring process rejects are your best candidates. How to let them prove it.
3.75
364
🧲 Talent Acquisition🧱 Hire For Character📋 Candidate Assessment🎭 Hiring Biases🌱 Resilience
The Rare Find Summary
The Rare Find 91%
The people your hiring process rejects are your best candidates. How to let them prove it.
by George Anders 2011
3.75
364 ratings
🧲 Talent Acquisition🧱 Hire For Character📋 Candidate Assessment🎭 Hiring Biases🌱 Resilience
The Algorithm
by Hilke Schellmann • 2024
Why you should fear the algorithms that hire and fire: they're biased, unscientific, and watching.
3.84
429
🏢 AI In The Workplace💼 Hiring Practices⚖️ Algorithmic Bias👀 Workplace Surveillance🤖 AI Ethics
The Algorithm Summary
The Algorithm 91%
Why you should fear the algorithms that hire and fire: they're biased, unscientific, and watching.
by Hilke Schellmann 2024
3.84
429 ratings
🏢 AI In The Workplace💼 Hiring Practices⚖️ Algorithmic Bias👀 Workplace Surveillance🤖 AI Ethics
Smart and Gets Things Done
by Spolsky • 2007
Why great engineers are worth ten times the average, and the interview tactics that reveal them.
4.00
1k+
🖥️ Tech Hiring🛠️ Engineering Management🎙️ Interviewing Techniques🎯 Recruiting Strategies🧱 Team Building
Smart and Gets Things Done Summary
Smart and Gets Things Done 91%
Why great engineers are worth ten times the average, and the interview tactics that reveal them.
by Spolsky 2007
4.00
1k+ ratings
🖥️ Tech Hiring🛠️ Engineering Management🎙️ Interviewing Techniques🎯 Recruiting Strategies🧱 Team Building
45 Effective Ways for Hiring Smart!
by Pierre Mornell • 1998
Interviews lie. Resumes exaggerate. Field-tested tactics that predict who will succeed on the job.
3.98
2k+
🧑‍💼 Hiring And Recruitment🎤 Interview Techniques⚙️ Hiring Systems⚠️ Hiring Mistakes🔮 Hiring Intuition
45 Effective Ways for Hiring Smart! Summary
45 Effective Ways for Hiring Smart! 91%
Interviews lie. Resumes exaggerate. Field-tested tactics that predict who will succeed on the job.
by Pierre Mornell 1998
3.98
2k+ ratings
🧑‍💼 Hiring And Recruitment🎤 Interview Techniques⚙️ Hiring Systems⚠️ Hiring Mistakes🔮 Hiring Intuition
How Would You Move Mount Fuji? Microsoft's Cult of the Puzzle--How the World's Smartest Companies Select the Most Creative Thinkers
by William Poundstone • 2003
Why Microsoft asks job candidates to move mountains. It is not about the answer.
3.58
2k+
🧩 Logic Puzzles🧠 Cognitive Biases💻 Silicon Valley Culture🎯 Interview Tactics👩‍💻 Tech Hiring
How Would You Move Mount Fuji? Microsoft's Cult of the Puzzle--How the World's Smartest Companies Select the Most Creative Thinkers Summary
How Would You Move Mount Fuji? Microsoft's Cult of the Puzzle--How the World's Smartest Companies Select the Most Creative Thinkers 90%
Why Microsoft asks job candidates to move mountains. It is not about the answer.
by William Poundstone 2003
3.58
2k+ ratings
🧩 Logic Puzzles🧠 Cognitive Biases💻 Silicon Valley Culture🎯 Interview Tactics👩‍💻 Tech Hiring
HBR Guide to Data Analytics Basics for Managers
by Harvard Business Review • 2018
The manager's checklist: what to verify before any number shapes your next decision.
3.86
383
🧱 Data-Driven Management📖 Data Literacy🎯 Metric Selection📊 Data Visualization🧠 Cognitive Biases
HBR Guide to Data Analytics Basics for Managers Summary
HBR Guide to Data Analytics Basics for Managers 90%
The manager's checklist: what to verify before any number shapes your next decision.
by Harvard Business Review 2018
3.86
383 ratings
🧱 Data-Driven Management📖 Data Literacy🎯 Metric Selection📊 Data Visualization🧠 Cognitive Biases
Big Data
by Bernard Marr • 2015
Most data projects fail because they start with data, not strategy. Five questions change that.
3.59
416
🎯 Data Strategy📊 Business Analytics📈 Performance Metrics📉 Data Visualization🔮 Predictive Analytics
Big Data Summary
Big Data 90%
Most data projects fail because they start with data, not strategy. Five questions change that.
by Bernard Marr 2015
3.59
416 ratings
🎯 Data Strategy📊 Business Analytics📈 Performance Metrics📉 Data Visualization🔮 Predictive Analytics
Artificial Intelligence for HR
by Ben Eubanks • 2022
AI takes over payroll, screening, scheduling. Your job becomes the part machines can't touch.
4.14
21
🖥️ Hr Technology📊 People Analytics🎯 Talent Acquisition🤝 Human-Ai Collaboration⚖️ Ethical Ai
Artificial Intelligence for HR Summary
Artificial Intelligence for HR 90%
AI takes over payroll, screening, scheduling. Your job becomes the part machines can't touch.
by Ben Eubanks 2022
4.14
21 ratings
🖥️ Hr Technology📊 People Analytics🎯 Talent Acquisition🤝 Human-Ai Collaboration⚖️ Ethical Ai
Knock 'em Dead Hiring the Best
by Martin Yate • 1987
A bad hire costs more than a slow hire. Here is the system that prevents both.
3.62
135
🧑‍💼 Hiring And Recruiting🎙️ Interviewing Techniques📊 Performance Management🌱 New Managers🛠️ Managerial Skills
Knock 'em Dead Hiring the Best Summary
Knock 'em Dead Hiring the Best 90%
A bad hire costs more than a slow hire. Here is the system that prevents both.
by Martin Yate 1987
3.62
135 ratings
🧑‍💼 Hiring And Recruiting🎙️ Interviewing Techniques📊 Performance Management🌱 New Managers🛠️ Managerial Skills
The Employee Experience Advantage
by Jacob Morgan • 2017
4x profit, 40% less turnover: the data behind treating employees as customers, not workers.
3.83
432
🧑‍💼 Talent Management🏢 Workplace Culture🏗️ Organizational Design🤝 Employee Engagement📊 People Analytics
The Employee Experience Advantage Summary
The Employee Experience Advantage 90%
4x profit, 40% less turnover: the data behind treating employees as customers, not workers.
by Jacob Morgan 2017
3.83
432 ratings
🧑‍💼 Talent Management🏢 Workplace Culture🏗️ Organizational Design🤝 Employee Engagement📊 People Analytics
The Talent Delusion
by Tomas Chamorro-Premuzic • 2017
The 80/20 rule applies to talent. Stop guessing who's in the 20 percent: data has the answer.
3.88
233
🌟 Talent Management📊 People Analytics🧩 Personality Assessment📈 Evidence Based Management🕶️ Dark Triad
The Talent Delusion Summary
The Talent Delusion 90%
The 80/20 rule applies to talent. Stop guessing who's in the 20 percent: data has the answer.
by Tomas Chamorro-Premuzic 2017
3.88
233 ratings
🌟 Talent Management📊 People Analytics🧩 Personality Assessment📈 Evidence Based Management🕶️ Dark Triad
Data Strategy
by Bernard Marr • 2017
Profit from the data firehose: pick the right data, build a company that acts on it.
3.77
418
📊 Data Strategy📈 Business Intelligence💾 Big Data🧮 Analytics🔒 Data Governance
Data Strategy Summary
Data Strategy 90%
Profit from the data firehose: pick the right data, build a company that acts on it.
by Bernard Marr 2017
3.77
418 ratings
📊 Data Strategy📈 Business Intelligence💾 Big Data🧮 Analytics🔒 Data Governance
Big Data
by Viktor Mayer-Schönberger • 2013
The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.
3.69
9k+
💰 Data As Asset📈 Predictive Analytics🧹 Imperfect Data🌐 Quantified World🔗 Correlation Analysis
Big Data Summary
Big Data 90%
The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.
by Viktor Mayer-Schönberger 2013
3.69
9k+ ratings
💰 Data As Asset📈 Predictive Analytics🧹 Imperfect Data🌐 Quantified World🔗 Correlation Analysis
Keeping Up with the Quants
by Thomas H. Davenport • 2013
You hired the quants. Now learn the questions that turn their numbers into decisions.
3.57
585
🏢 Data-Driven Management📊 Business Analytics🧮 Quantitative Thinking📖 Data Storytelling📋 Evidence-Based Management
Keeping Up with the Quants Summary
Keeping Up with the Quants 90%
You hired the quants. Now learn the questions that turn their numbers into decisions.
by Thomas H. Davenport 2013
3.57
585 ratings
🏢 Data-Driven Management📊 Business Analytics🧮 Quantitative Thinking📖 Data Storytelling📋 Evidence-Based Management
Data Analytics Made Accessible
by Anil Maheshwari • 2014
Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.
3.76
323
🧱 Data Analytics📊 Business Intelligence⛏️ Data Mining📈 Data Visualization🔮 Predictive Analytics
Data Analytics Made Accessible Summary
Data Analytics Made Accessible 90%
Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.
by Anil Maheshwari 2014
3.76
323 ratings
🧱 Data Analytics📊 Business Intelligence⛏️ Data Mining📈 Data Visualization🔮 Predictive Analytics
Strategic Workforce Planning
by Ross Sparkman • 2018
The data-backed system that turns business strategy into a workforce plan, so every hire fits.
3.69
55
📈 Workforce Planning👥 Talent Management📊 Workforce Analytics🔍 People Analytics📅 Scenario Planning
Strategic Workforce Planning Summary
Strategic Workforce Planning 89%
The data-backed system that turns business strategy into a workforce plan, so every hire fits.
by Ross Sparkman 2018
3.69
55 ratings
📈 Workforce Planning👥 Talent Management📊 Workforce Analytics🔍 People Analytics📅 Scenario Planning
Digital HR Strategy
by Soumyasanto Sen • 2020
HR is stalled in admin. The framework to turn it into a data-driven, human-centric strategy unit.
4.00
7
📱 Digital HR👔 Strategic HR📊 People Analytics😊 Employee Experience🔄 Agile HR
Digital HR Strategy Summary
Digital HR Strategy 89%
HR is stalled in admin. The framework to turn it into a data-driven, human-centric strategy unit.
by Soumyasanto Sen 2020
4.00
7 ratings
📱 Digital HR👔 Strategic HR📊 People Analytics😊 Employee Experience🔄 Agile HR
The AI Playbook
by Eric Siegel • 2024
How to get machine learning out of the lab: sell the operational improvement, not the algorithm.
3.98
127
🏢 Enterprise Technology🤖 Applied Ai🔄 Change Management📊 Data Quality📏 Model Evaluation
The AI Playbook Summary
The AI Playbook 89%
How to get machine learning out of the lab: sell the operational improvement, not the algorithm.
by Eric Siegel 2024
3.98
127 ratings
🏢 Enterprise Technology🤖 Applied Ai🔄 Change Management📊 Data Quality📏 Model Evaluation
Work Rules!
by Laszlo Bock • 2015
A data-driven blueprint for hiring, pay, and culture from Google's former head of people operations.
4.13
16k+
👥 People Operations🏢 Corporate Culture🌟 Talent Management🎯 Hiring Practices🧠 Behavioral Nudges
Work Rules! Summary
Work Rules! 89%
A data-driven blueprint for hiring, pay, and culture from Google's former head of people operations.
by Laszlo Bock 2015
4.13
16k+ ratings
👥 People Operations🏢 Corporate Culture🌟 Talent Management🎯 Hiring Practices🧠 Behavioral Nudges
Behind Every Good Decision
by Piyanka Jain • 2014
Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.
3.60
144
📊 Business Analytics📈 Data-Driven Decisions🧩 Analytics Frameworks📖 Data Literacy🔧 Everyday Analytics
Behind Every Good Decision Summary
Behind Every Good Decision 89%
Analytics problems rarely need data scientists. A five-step framework anyone with Excel can use.
by Piyanka Jain 2014
3.60
144 ratings
📊 Business Analytics📈 Data-Driven Decisions🧩 Analytics Frameworks📖 Data Literacy🔧 Everyday Analytics
Data Science for Business
by Foster Provost • 2013
Why overfitting sinks most data projects, and the conceptual tools that stop it.
4.13
3k+
📊 Business Analytics⛏️ Data Mining📏 Model Evaluation🔧 Feature Engineering🧹 Data Preparation
Data Science for Business Summary
Data Science for Business 89%
Why overfitting sinks most data projects, and the conceptual tools that stop it.
by Foster Provost 2013
4.13
3k+ ratings
📊 Business Analytics⛏️ Data Mining📏 Model Evaluation🔧 Feature Engineering🧹 Data Preparation
Competing on Analytics
by Thomas H. Davenport • 2007
Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.
3.69
2k+
📊 Analytics Strategy🔮 Predictive Modeling📋 Fact-Based Decisions🧠 Analytics Culture🗄️ Data Management
Competing on Analytics Summary
Competing on Analytics 89%
Why some companies (like Amazon and Capital One) win by making bets on data, not hunches.
by Thomas H. Davenport 2007
3.69
2k+ ratings
📊 Analytics Strategy🔮 Predictive Modeling📋 Fact-Based Decisions🧠 Analytics Culture🗄️ Data Management
Predictive Analytics
by Eric Siegel • 2013
Companies know whether you'll leave, buy, or default before you've decided. Here's how.
3.66
2k+
📊 Data Science🔮 Predictive Analytics📈 Big Data🤖 Machine Learning🧠 Behavioral Prediction
Predictive Analytics Summary
Predictive Analytics 89%
Companies know whether you'll leave, buy, or default before you've decided. Here's how.
by Eric Siegel 2013
3.66
2k+ ratings
📊 Data Science🔮 Predictive Analytics📈 Big Data🤖 Machine Learning🧠 Behavioral Prediction
Data Mining Techniques
by Michael J.A. Berry • 1997
How to pull business answers from transaction data using six core data mining techniques.
4.06
233
📊 Data-Driven Marketing📈 Customer Analytics⛏️ Data Mining🔮 Predictive Modeling📋 Business Intelligence
Data Mining Techniques Summary
Data Mining Techniques 89%
How to pull business answers from transaction data using six core data mining techniques.
by Michael J.A. Berry 1997
4.06
233 ratings
📊 Data-Driven Marketing📈 Customer Analytics⛏️ Data Mining🔮 Predictive Modeling📋 Business Intelligence
The Amazon Management System
by Ram Charan • 2019
The practices, from hiring to metrics, that keep Amazon sprinting while other giants slow.
4.04
399
🎯 Customer Centricity👥 Talent And Hiring📊 Data Driven Management💡 Innovation Processes⚙️ Operational Excellence
The Amazon Management System Summary
The Amazon Management System 89%
The practices, from hiring to metrics, that keep Amazon sprinting while other giants slow.
by Ram Charan 2019
4.04
399 ratings
🎯 Customer Centricity👥 Talent And Hiring📊 Data Driven Management💡 Innovation Processes⚙️ Operational Excellence
Web Analytics 2.0
by Avinash Kaushik • 2009
Your web data is lying to you. The framework that turns page views into decisions.
4.13
2k+
🖥️ Digital Analytics🎯 Performance Indicators🧪 Online Experimentation👥 Customer Intelligence📈 Conversion Optimization
Web Analytics 2.0 Summary
Web Analytics 2.0 89%
Your web data is lying to you. The framework that turns page views into decisions.
by Avinash Kaushik 2009
4.13
2k+ ratings
🖥️ Digital Analytics🎯 Performance Indicators🧪 Online Experimentation👥 Customer Intelligence📈 Conversion Optimization
Personality, Character, and Intelligence
by Malcolm Gladwell • 2009
Criminal profilers, job interviewers, and pit bull owners all fall for the same costly mistake.
3.92
758
🧑‍💼 Talent Management📋 Hiring Practices🧠 Cognitive Biases⚡ Snap Judgments🕵️ Criminal Profiling
Personality, Character, and Intelligence Summary
Personality, Character, and Intelligence 89%
Criminal profilers, job interviewers, and pit bull owners all fall for the same costly mistake.
by Malcolm Gladwell 2009
3.92
758 ratings
🧑‍💼 Talent Management📋 Hiring Practices🧠 Cognitive Biases⚡ Snap Judgments🕵️ Criminal Profiling
The Essential HR Handbook
by Sharon Armstrong • 2008
Every HR question a manager faces, from hiring to firing, in one desk reference.
3.62
460
🏢 People Management🎯 Talent Acquisition📈 Performance Management⚖️ Workplace Compliance🚪 Employee Onboarding
The Essential HR Handbook Summary
The Essential HR Handbook 89%
Every HR question a manager faces, from hiring to firing, in one desk reference.
by Sharon Armstrong 2008
3.62
460 ratings
🏢 People Management🎯 Talent Acquisition📈 Performance Management⚖️ Workplace Compliance🚪 Employee Onboarding
Becoming a Data Head
by Alex J. Gutman • 2021
The critical thinking toolkit for anyone who works with data but never plans to code.
4.18
480
📊 Data Literacy📈 Business Analytics🧠 Statistical Thinking🔍 Data Skepticism🤖 Machine Learning Basics
Becoming a Data Head Summary
Becoming a Data Head 89%
The critical thinking toolkit for anyone who works with data but never plans to code.
by Alex J. Gutman 2021
4.18
480 ratings
📊 Data Literacy📈 Business Analytics🧠 Statistical Thinking🔍 Data Skepticism🤖 Machine Learning Basics
Confident Data Skills
by Kirill Eremenko • 2018
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
4.12
211
📊 Data Science📖 Data Literacy🤖 Machine Learning Basics📈 Data Visualization🧹 Data Preparation
Confident Data Skills Summary
Confident Data Skills 89%
From messy data to clean insights to persuasive presentations: the process that lands the promotion.
by Kirill Eremenko 2018
4.12
211 ratings
📊 Data Science📖 Data Literacy🤖 Machine Learning Basics📈 Data Visualization🧹 Data Preparation
Six SIGMA in HR Transformation
by Mircea Albeanu • 2009
Fewer payroll errors, faster hiring, data-driven decisions: a Six Sigma playbook built for HR.
4.50
8
🔄 Hr Transformation📈 Process Improvement📊 Six Sigma📋 Data-Driven Hr🔀 Change Management
Six SIGMA in HR Transformation Summary
Six SIGMA in HR Transformation 89%
Fewer payroll errors, faster hiring, data-driven decisions: a Six Sigma playbook built for HR.
by Mircea Albeanu 2009
4.50
8 ratings
🔄 Hr Transformation📈 Process Improvement📊 Six Sigma📋 Data-Driven Hr🔀 Change Management
Applied Artificial Intelligence
by Mariya Yao • 2018
Deploy AI that actually works: a playbook for data, talent, ethics, and the metrics that matter.
3.32
93
🏢 Enterprise Ai🔄 Digital Transformation🧹 Data Quality📊 Data-Driven Culture⚖️ Ai Ethics
Applied Artificial Intelligence Summary
Applied Artificial Intelligence 89%
Deploy AI that actually works: a playbook for data, talent, ethics, and the metrics that matter.
by Mariya Yao 2018
3.32
93 ratings
🏢 Enterprise Ai🔄 Digital Transformation🧹 Data Quality📊 Data-Driven Culture⚖️ Ai Ethics
The Geek Way
by Andrew McAfee • 2023
Tech companies run on a different OS: four norms that leave industrial management behind.
3.89
914
💻 Tech Company Culture📊 Evidence-Based Management🔄 Agile Methodology🛡️ Psychological Safety🪟 Workplace Transparency
The Geek Way Summary
The Geek Way 89%
Tech companies run on a different OS: four norms that leave industrial management behind.
by Andrew McAfee 2023
3.89
914 ratings
💻 Tech Company Culture📊 Evidence-Based Management🔄 Agile Methodology🛡️ Psychological Safety🪟 Workplace Transparency
Mastering Salesforce Reports and Dashboards
by David Carnes • 2023
Why most Salesforce dashboards fail: bad folder permissions, missing fields, and how to fix them.
5.00
1
🖥️ Crm Administration📊 Dashboard Design📈 Business Reporting📉 Business Analytics🧠 Data-Driven Decisions
Mastering Salesforce Reports and Dashboards Summary
Mastering Salesforce Reports and Dashboards 89%
Why most Salesforce dashboards fail: bad folder permissions, missing fields, and how to fix them.
by David Carnes 2023
5.00
1 ratings
🖥️ Crm Administration📊 Dashboard Design📈 Business Reporting📉 Business Analytics🧠 Data-Driven Decisions
The Talent Revolution
by Anne Fulton • 2023
An internal talent market matches skills to work. Build one, and the talent hoarding stops.
4.52
21
👥 Talent Management🔮 Future Of Work🔄 Internal Mobility🏃 Agile Workforce📚 Workforce Reskilling
The Talent Revolution Summary
The Talent Revolution 89%
An internal talent market matches skills to work. Build one, and the talent hoarding stops.
by Anne Fulton 2023
4.52
21 ratings
👥 Talent Management🔮 Future Of Work🔄 Internal Mobility🏃 Agile Workforce📚 Workforce Reskilling
Talent Wins
by Ram Charan • 2018
Three leaders, one table, one mandate: turn HR from overhead into your competitive advantage.
3.81
349
🎯 Talent Strategy💼 Strategic HR📊 Talent Management🏗️ Organizational Design🔄 Agile Organizations
Talent Wins Summary
Talent Wins 89%
Three leaders, one table, one mandate: turn HR from overhead into your competitive advantage.
by Ram Charan 2018
3.81
349 ratings
🎯 Talent Strategy💼 Strategic HR📊 Talent Management🏗️ Organizational Design🔄 Agile Organizations
Dream Team
by Ludovic Girodon • 2019
Recruit smart, onboard well, and build the daily rituals that make teams impossible to leave.
4.28
46
👥 People Management🎯 Talent Management💪 Employee Engagement🏢 Workplace Culture📋 Hiring Practices
Dream Team Summary
Dream Team 89%
Recruit smart, onboard well, and build the daily rituals that make teams impossible to leave.
by Ludovic Girodon 2019
4.28
46 ratings
👥 People Management🎯 Talent Management💪 Employee Engagement🏢 Workplace Culture📋 Hiring Practices
Numsense! Data Science for the Layman
by Annalyn Ng • 2017
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
4.14
622
🧠 Data Literacy🤖 Machine Learning Basics📈 Predictive Analytics📊 Data-Driven Decisions📘 Technical Primers
Numsense! Data Science for the Layman Summary
Numsense! Data Science for the Layman 89%
Data science without the math: twelve techniques, what they do, and why intuition alone falls short.
by Annalyn Ng 2017
4.14
622 ratings
🧠 Data Literacy🤖 Machine Learning Basics📈 Predictive Analytics📊 Data-Driven Decisions📘 Technical Primers
All-in On AI
by Thomas H. Davenport • 2023
Less than one percent of large companies are built around AI. The playbook for the rest.
3.23
273
🤖 Ai Adoption💻 Digital Transformation🎯 Corporate Strategy🗄️ Data Infrastructure⚖️ Ethical Ai
All-in On AI Summary
All-in On AI 89%
Less than one percent of large companies are built around AI. The playbook for the rest.
by Thomas H. Davenport 2023
3.23
273 ratings
🤖 Ai Adoption💻 Digital Transformation🎯 Corporate Strategy🗄️ Data Infrastructure⚖️ Ethical Ai
Por qué Recursos Humanos debería ser como Netflix
by Pilar Llacer Centeno • 2021
HR that predicts what each employee needs, not to coddle but to fuel exponential business growth.
3.31
13
🧩 Strategic Hr🧭 Ethical Leadership💻 Digital Hr🔮 Future Of Work🧠 Critical Thinking
Por qué Recursos Humanos debería ser como Netflix Summary
Por qué Recursos Humanos debería ser como Netflix 89%
HR that predicts what each employee needs, not to coddle but to fuel exponential business growth.
by Pilar Llacer Centeno 2021
3.31
13 ratings
🧩 Strategic Hr🧭 Ethical Leadership💻 Digital Hr🔮 Future Of Work🧠 Critical Thinking
Open to Work
by Ryan Roslansky • 2026
The threat isn't robots. It's the competitor who adopted AI. A 90-day playbook.
3.47
308
🏢 Future Of Work🧭 Career Development🤖 Ai In Business🧠 Human Skills⚙️ Task Automation
Open to Work Summary
Open to Work 89%
The threat isn't robots. It's the competitor who adopted AI. A 90-day playbook.
by Ryan Roslansky 2026
3.47
308 ratings
🏢 Future Of Work🧭 Career Development🤖 Ai In Business🧠 Human Skills⚙️ Task Automation
Lean Analytics
by Alistair Croll • 2013
Pick the right metric, ignore the rest: a stage-by-stage field guide to startup analytics.
4.11
8k+
🚀 Startup Strategy📊 Business Metrics🔄 Lean Methodology📈 Product Analytics🎯 Data-Driven Decisions
Lean Analytics Summary
Lean Analytics 89%
Pick the right metric, ignore the rest: a stage-by-stage field guide to startup analytics.
by Alistair Croll 2013
4.11
8k+ ratings
🚀 Startup Strategy📊 Business Metrics🔄 Lean Methodology📈 Product Analytics🎯 Data-Driven Decisions
Why Data Science Projects Fail
by Douglas Gray • 2024
Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.
5.00
19
📊 Data Science Management🤖 Ai Implementation⚙️ Mlops🧹 Data Quality🔧 Data Engineering
Why Data Science Projects Fail Summary
Why Data Science Projects Fail 89%
Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.
by Douglas Gray 2024
5.00
19 ratings
📊 Data Science Management🤖 Ai Implementation⚙️ Mlops🧹 Data Quality🔧 Data Engineering
People Strategy
by Jack Altman • 2021
Culture isn't a perk. It's the feedback, data, and growth path system that outperforms competitors.
3.63
167
🏢 Company Culture💙 Employee Engagement📊 People Analytics🔄 Performance Feedback📈 Career Development
People Strategy Summary
People Strategy 89%
Culture isn't a perk. It's the feedback, data, and growth path system that outperforms competitors.
by Jack Altman 2021
3.63
167 ratings
🏢 Company Culture💙 Employee Engagement📊 People Analytics🔄 Performance Feedback📈 Career Development
The Year Without Pants
by Scott Berkun • 2013
From Microsoft to a pants-optional company: what a year without an office teaches about work.
3.81
3k+
📡 Remote Work🏢 Organizational Culture💬 Asynchronous Communication🎯 Results-Only Work Environment🚀 Continuous Deployment
The Year Without Pants Summary
The Year Without Pants 89%
From Microsoft to a pants-optional company: what a year without an office teaches about work.
by Scott Berkun 2013
3.81
3k+ ratings
📡 Remote Work🏢 Organizational Culture💬 Asynchronous Communication🎯 Results-Only Work Environment🚀 Continuous Deployment
Cracking the PM Interview
by Gayle Laakmann McDowell • 2013
Five interview formats make or break PM candidates. Most people prep for two.
4.17
4k+
📋 Product Management💻 Tech Interviews📝 Interview Preparation📊 Case Questions🔄 Career Switching
Cracking the PM Interview Summary
Cracking the PM Interview 89%
Five interview formats make or break PM candidates. Most people prep for two.
by Gayle Laakmann McDowell 2013
4.17
4k+ ratings
📋 Product Management💻 Tech Interviews📝 Interview Preparation📊 Case Questions🔄 Career Switching
Competing in the Age of AI
by Marco Iansiti • 2020
AI dissolves the old limits of scale, scope, and learning, and demands a new corporate architecture.
3.82
1k+
🤖 Ai Business Models🏗️ Platform Strategy🔗 Data Network Effects🔄 Digital Transformation⚖️ Ai Ethics
Competing in the Age of AI Summary
Competing in the Age of AI 89%
AI dissolves the old limits of scale, scope, and learning, and demands a new corporate architecture.
by Marco Iansiti 2020
3.82
1k+ ratings
🤖 Ai Business Models🏗️ Platform Strategy🔗 Data Network Effects🔄 Digital Transformation⚖️ Ai Ethics
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