⚡ Event-Driven Analysis

Technical explorations of analyzing systems and markets through the lens of discrete events, where each occurrence triggers a cascade of meaningful consequences.

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 88%

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

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 88%

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

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 88%

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

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 88%

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

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 88%

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

Intelligence-Driven Incident Response

by Rebekah Brown • 2023

Stop chasing alerts: build an intelligence function that predicts what the attacker will do next.

4.16

134

🔍 Threat Intelligence 🚨 Incident Response 📊 Structured Analysis 🛡️ Active Defense 🖥️ Security Operations

Intelligence-Driven Incident Response Summary

Intelligence-Driven Incident Response 88%

Stop chasing alerts: build an intelligence function that predicts what the attacker will do next.

by Rebekah Brown 2023

4.16

134 ratings

🔍 Threat Intelligence 🚨 Incident Response 📊 Structured Analysis 🛡️ Active Defense 🖥️ Security Operations

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 88%

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

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

🖥️ Crm Administration 📊 Dashboard Design 📈 Business Reporting 📉 Business Analytics 🧠 Data-Driven Decisions

Mastering Salesforce Reports and Dashboards Summary

Mastering Salesforce Reports and Dashboards 88%

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

Software Architecture Patterns for Serverless Systems

by John Gilbert • 2021

Coupling kills innovation. Event-driven patterns for autonomous services that ship change safely.

4.29

⚡ Serverless Architecture 📨 Event-Driven Architecture 🧩 Microservices 🌐 Distributed Systems ☁️ Cloud Native

Software Architecture Patterns for Serverless Systems Summary

Software Architecture Patterns for Serverless Systems 88%

Coupling kills innovation. Event-driven patterns for autonomous services that ship change safely.

by John Gilbert 2021

4.29

24 ratings

⚡ Serverless Architecture 📨 Event-Driven Architecture 🧩 Microservices 🌐 Distributed Systems ☁️ Cloud Native

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 88%

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

Encyclopedia of Chart Patterns

by Thomas N. Bulkowski • 2000

38,500 chart patterns, analyzed: failure rates, volume signals, and the breakout data that matters.

4.11

374

📈 Technical Analysis 📊 Chart Patterns 📉 Data-Driven Investing 🚀 Breakout Trading 📢 Volume Analysis

Encyclopedia of Chart Patterns 88%

38,500 chart patterns, analyzed: failure rates, volume signals, and the breakout data that matters.

by Thomas N. Bulkowski 2000

4.11

374 ratings

📈 Technical Analysis 📊 Chart Patterns 📉 Data-Driven Investing 🚀 Breakout Trading 📢 Volume Analysis

Trading Systems and Methods

by Perry J. Kaufman • 1997

Markets follow quantifiable patterns. The reference for turning them into trading systems.

3.97

140

📊 Technical Analysis ⚙️ Systematic Trading 📈 Trend Following 📉 Momentum Trading 🔬 Backtesting Methods

Trading Systems and Methods 88%

Markets follow quantifiable patterns. The reference for turning them into trading systems.

by Perry J. Kaufman 1997

3.97

140 ratings

📊 Technical Analysis ⚙️ Systematic Trading 📈 Trend Following 📉 Momentum Trading 🔬 Backtesting Methods

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 88%

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

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 88%

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

Python Machine Learning Case Studies

by Danish Haroon • 2017

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

2.60

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📐 Model Evaluation

Python Machine Learning Case Studies Summary

Python Machine Learning Case Studies 88%

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

by Danish Haroon 2017

2.60

5 ratings

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis ⚙️ Feature Engineering 📐 Model Evaluation

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 88%

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

The Bestseller Code

by Jodie Archer • 2016

An algorithm spots bestsellers with 80 percent accuracy, reading signals no writing class teaches.

3.81

1k+

✍️ Novel Writing 📊 Text Mining 📈 Plot Structure 🎢 Emotional Arcs 🎯 Character Agency

The Bestseller Code 88%

An algorithm spots bestsellers with 80 percent accuracy, reading signals no writing class teaches.

by Jodie Archer 2016

3.81

1k+ ratings

✍️ Novel Writing 📊 Text Mining 📈 Plot Structure 🎢 Emotional Arcs 🎯 Character Agency

AI in the Financial Markets

by Federico Cecconi • 2023

AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.

📉 Financial Markets 💻 Fintech 🤖 Algorithmic Trading 📊 Quantitative Finance 📡 Alternative Data

AI in the Financial Markets 88%

AI finds market patterns invisible to humans, trades on them instantly, and offers no explanation.

by Federico Cecconi 2023

📉 Financial Markets 💻 Fintech 🤖 Algorithmic Trading 📊 Quantitative Finance 📡 Alternative Data

Bollinger on Bollinger Bands

by John Bollinger • 2001

The most-used technical indicator, decoded by its creator: which signals matter and which mislead.

3.88

242

📊 Technical Analysis ⚙️ Trading Systems 📉 Volatility Analysis 📈 Trend Following 📋 Volume Analysis

Bollinger on Bollinger Bands 88%

The most-used technical indicator, decoded by its creator: which signals matter and which mislead.

by John Bollinger 2001

3.88

242 ratings

📊 Technical Analysis ⚙️ Trading Systems 📉 Volatility Analysis 📈 Trend Following 📋 Volume Analysis

Python for Excel

by Felix Zumstein • 2021

Turn Excel into a Python engine: automate reports, scale past a million rows, and quit copy-pasting.

4.00

📊 Data Analysis 🤖 Spreadsheet Automation 🐼 Pandas Dataframes 📈 Time Series Analysis 📄 Reproducible Reporting

Python for Excel 88%

Turn Excel into a Python engine: automate reports, scale past a million rows, and quit copy-pasting.

by Felix Zumstein 2021

4.00

41 ratings

📊 Data Analysis 🤖 Spreadsheet Automation 🐼 Pandas Dataframes 📈 Time Series Analysis 📄 Reproducible Reporting

DAMA-DMBOK

by DAMA International • 2017

Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.

4.15

172

👔 Data Governance 🏢 Enterprise Data Strategy 🧱 Data Architecture 📐 Data Modeling ✅ Data Quality Management

DAMA-DMBOK 88%

Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.

by DAMA International 2017

4.15

172 ratings

👔 Data Governance 🏢 Enterprise Data Strategy 🧱 Data Architecture 📐 Data Modeling ✅ Data Quality Management

How to Measure Anything

by Douglas W. Hubbard • 1985

That thing you call immeasurable? Redefine measurement; the toolkit is simpler than anyone admits.

3.90

4k+

🧮 Business Analytics 📊 Decision Analysis 🔢 Statistical Thinking 🎯 Uncertainty Reduction 🔄 Bayesian Reasoning

How to Measure Anything 88%

That thing you call immeasurable? Redefine measurement; the toolkit is simpler than anyone admits.

by Douglas W. Hubbard 1985

3.90

4k+ ratings

🧮 Business Analytics 📊 Decision Analysis 🔢 Statistical Thinking 🎯 Uncertainty Reduction 🔄 Bayesian Reasoning

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 88%

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

Power And Prediction

by Ajay Agrawal • 2022

AI works. Now the long, slow work of rebuilding everything around it begins.

4.22

7k+

🤖 Ai In Business 🏗️ Organizational Design 🔄 Digital Transformation 📊 Predictive Analytics ⚡ Industry Disruption

Power And Prediction 87%

AI works. Now the long, slow work of rebuilding everything around it begins.

by Ajay Agrawal 2022

4.22

7k+ ratings

🤖 Ai In Business 🏗️ Organizational Design 🔄 Digital Transformation 📊 Predictive Analytics ⚡ Industry Disruption

Observability Engineering

by Charity Majors • 2022

Your dashboards only know yesterday's failures. Here's how to debug the ones nobody predicted.

3.72

319

🔍 Observability 🏗️ Site Reliability Engineering 🌐 Distributed Systems 🔄 Devops Culture 🚨 Incident Response

Observability Engineering 87%

Your dashboards only know yesterday's failures. Here's how to debug the ones nobody predicted.

by Charity Majors 2022

3.72

319 ratings

🔍 Observability 🏗️ Site Reliability Engineering 🌐 Distributed Systems 🔄 Devops Culture 🚨 Incident Response

Everyday Chaos

by David Weinberger • 2019

A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.

3.78

202

🔬 Complexity Science 🔄 Systems Thinking 🤖 Machine Learning 💻 Digital Strategy 🔓 Open Platforms

Everyday Chaos 87%

A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.

by David Weinberger 2019

3.78

202 ratings

🔬 Complexity Science 🔄 Systems Thinking 🤖 Machine Learning 💻 Digital Strategy 🔓 Open Platforms

Python for Finance

by Yves Hilpisch • 2012

Python's finance stack: vectorized data, Monte Carlo methods, deploying models from Excel to web.

3.80

249

📊 Quantitative Finance 🔢 Financial Modeling 🎲 Monte Carlo Simulation 💻 Computational Finance 🐍 Python Ecosystem

Python for Finance 87%

Python's finance stack: vectorized data, Monte Carlo methods, deploying models from Excel to web.

by Yves Hilpisch 2012

3.80

249 ratings

📊 Quantitative Finance 🔢 Financial Modeling 🎲 Monte Carlo Simulation 💻 Computational Finance 🐍 Python Ecosystem

Hadoop

by Tom White • 2009

How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.

3.93

1k+

📊 Big Data 🖧 Distributed Systems 🐘 Hadoop Ecosystem ⚙️ Data Engineering 🔗 Data Pipelines

Hadoop 87%

How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.

by Tom White 2009

3.93

1k+ ratings

📊 Big Data 🖧 Distributed Systems 🐘 Hadoop Ecosystem ⚙️ Data Engineering 🔗 Data Pipelines

Google Analytics

by Justin Cutroni • 2007

Turn Google Analytics from a hit counter into a decision engine with the right setup.

3.72

129

📊 Web Analytics 📈 Marketing Analytics 🎯 Conversion Optimization 💡 Data-Driven Decisions 🛒 Ecommerce Optimization

Google Analytics 87%

Turn Google Analytics from a hit counter into a decision engine with the right setup.

by Justin Cutroni 2007

3.72

129 ratings

📊 Web Analytics 📈 Marketing Analytics 🎯 Conversion Optimization 💡 Data-Driven Decisions 🛒 Ecommerce Optimization

Practical Statistics for Data Scientists

by Peter Bruce • 2017

The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.

4.02

545

🛠️ Practical Data Science 📈 Applied Statistics 🔍 Exploratory Data Analysis 🎓 Statistical Inference 🔄 Resampling Methods

Practical Statistics for Data Scientists Summary

Practical Statistics for Data Scientists 87%

The statistical methods data scientists use daily, from boxplots to bootstrap, minus the proofs.

by Peter Bruce 2017

4.02

545 ratings

🛠️ Practical Data Science 📈 Applied Statistics 🔍 Exploratory Data Analysis 🎓 Statistical Inference 🔄 Resampling Methods

On the Edge

by Nate Silver • 2024

One tribe calculates risk; one avoids it. This divide now shapes American life more than politics.

3.66

6k+

🎲 Risk Cultures 📊 Quantitative Thinking 🎮 Game Theory 🧠 Behavioral Economics ⚔️ Culture Wars

On the Edge 87%

One tribe calculates risk; one avoids it. This divide now shapes American life more than politics.

by Nate Silver 2024

3.66

6k+ ratings

🎲 Risk Cultures 📊 Quantitative Thinking 🎮 Game Theory 🧠 Behavioral Economics ⚔️ Culture Wars

Business Analysis For Dummies

by Paul Mulvey • 2013

From vague business pain to a working solution: the BA's complete toolkit, step by step.

3.79

156

📊 Business Analysis 📋 Requirements Management 🗣️ Stakeholder Engagement 🗺️ Business Process Mapping 🔗 Data Modeling

Business Analysis For Dummies 87%

From vague business pain to a working solution: the BA's complete toolkit, step by step.

by Paul Mulvey 2013

3.79

156 ratings

📊 Business Analysis 📋 Requirements Management 🗣️ Stakeholder Engagement 🗺️ Business Process Mapping 🔗 Data Modeling

The (Mis) Behavior of Markets

by Benoît B. Mandelbrot • 1997

Ten trading days can hold half a market's losses, and the standard models never see them coming.

4.09

6k+

🧮 Financial Modeling 🌪️ Market Volatility 🧪 Complexity Science ⚠️ Risk Management 🎯 Efficient Market Critique

The (Mis) Behavior of Markets 87%

Ten trading days can hold half a market's losses, and the standard models never see them coming.

by Benoît B. Mandelbrot 1997

4.09

6k+ ratings

🧮 Financial Modeling 🌪️ Market Volatility 🧪 Complexity Science ⚠️ Risk Management 🎯 Efficient Market Critique

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 87%

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

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 87%

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

Data Science

by John D. Kelleher • 2018

Turning raw data into decisions requires a defined process, not just algorithms and statistics.

3.90

876

🔎 Data Mining 🧭 Data Science Methodology 📈 Predictive Modeling 🧩 Unsupervised Learning ⚖️ Data Ethics

Data Science 87%

Turning raw data into decisions requires a defined process, not just algorithms and statistics.

by John D. Kelleher 2018

3.90

876 ratings

🔎 Data Mining 🧭 Data Science Methodology 📈 Predictive Modeling 🧩 Unsupervised Learning ⚖️ Data Ethics

How to Measure Anything in Cybersecurity Risk

by Douglas W. Hubbard • 2016

Cybersecurity swears its risks defy measurement. A quantitative toolkit that says otherwise.

4.06

381

🔐 Cybersecurity Risk 📊 Quantitative Risk Analysis 🧠 Decision Science 🤔 Cognitive Biases 📈 Risk Modeling

How to Measure Anything in Cybersecurity Risk Summary

How to Measure Anything in Cybersecurity Risk 87%

Cybersecurity swears its risks defy measurement. A quantitative toolkit that says otherwise.

by Douglas W. Hubbard 2016

4.06

381 ratings

🔐 Cybersecurity Risk 📊 Quantitative Risk Analysis 🧠 Decision Science 🤔 Cognitive Biases 📈 Risk Modeling

Bursts

by Albert-László Barabási • 2010

Why your email bursts, your travels repeat, and history rhymes: one hidden law of priority.

3.30

1k+

🕸️ Complex Systems 🔗 Network Science 📉 Power Laws ✅ Task Prioritization 🔐 Data And Privacy

Bursts 87%

Why your email bursts, your travels repeat, and history rhymes: one hidden law of priority.

by Albert-László Barabási 2010

3.30

1k+ ratings

🕸️ Complex Systems 🔗 Network Science 📉 Power Laws ✅ Task Prioritization 🔐 Data And Privacy

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 87%

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

The Systems Bible

by John Gall • 1977

Every system malfunctions and fights its own purpose. The counterintuitive guide to surviving them.

3.99

1k+

🧭 Systems Theory 🏢 Organizational Behavior 🦋 Unintended Consequences 🤘 Contrarian Business 🧠 Mental Models

The Systems Bible 87%

Every system malfunctions and fights its own purpose. The counterintuitive guide to surviving them.

by John Gall 1977

3.99

1k+ ratings

🧭 Systems Theory 🏢 Organizational Behavior 🦋 Unintended Consequences 🤘 Contrarian Business 🧠 Mental Models

Art of the Long View, The

by Peter Schwartz • 1991

Predicting the future is a fool's game. The smart money rehearses it instead.

3.80

924

📋 Strategic Planning 🔮 Scenario Planning 🔭 Futures Thinking 🌫️ Uncertainty Management 📖 Narrative Strategy

Art of the Long View, The 87%

Predicting the future is a fool's game. The smart money rehearses it instead.

by Peter Schwartz 1991

3.80

924 ratings

📋 Strategic Planning 🔮 Scenario Planning 🔭 Futures Thinking 🌫️ Uncertainty Management 📖 Narrative Strategy

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 87%

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

Practical Data Analytics for BFSI

by Mr. Bharat Sikka • 2023

ATM refills, fraud alerts, loan approvals: the data models that run a modern bank.

🏦 Banking Analytics 💼 Financial Services 🗂️ Data Governance 🕵️ Fraud Detection ⚠️ Risk Management

Practical Data Analytics for BFSI Summary

Practical Data Analytics for BFSI 87%

ATM refills, fraud alerts, loan approvals: the data models that run a modern bank.

by Mr. Bharat Sikka 2023

🏦 Banking Analytics 💼 Financial Services 🗂️ Data Governance 🕵️ Fraud Detection ⚠️ Risk Management

Data Smart

by John W. Foreman • 2013

Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.

4.12

1k+

📊 Spreadsheet Modeling 📈 Business Analytics 🤖 Machine Learning For Managers 🧮 Quantitative Decision Making 🔮 Forecasting Methods

Data Smart 87%

Real machine learning inside Excel: cluster customers, forecast demand, optimize decisions. No code.

by John W. Foreman 2013

4.12

1k+ ratings

📊 Spreadsheet Modeling 📈 Business Analytics 🤖 Machine Learning For Managers 🧮 Quantitative Decision Making 🔮 Forecasting Methods

Software Requirements

by Karl Wiegers • 1999

Nearly half of all software defects trace back to bad requirements. The fix starts here.

4.14

859

🏗️ Requirements Engineering 👤 User-Centered Design ✅ Software Quality 📋 Project Management 📊 Business Analysis

Software Requirements 87%

Nearly half of all software defects trace back to bad requirements. The fix starts here.

by Karl Wiegers 1999

4.14

859 ratings

🏗️ Requirements Engineering 👤 User-Centered Design ✅ Software Quality 📋 Project Management 📊 Business Analysis

The 80/20 Principle and 92 Other Power Laws of Nature

by Richard Koch • 2013

Work less and win more: the 93 laws from nature that multiply your business results.

3.66

524

🏢 Business Strategy 📊 Power Laws 🔗 Systems Thinking ⚔️ Competitive Strategy 🧬 Business Evolution

The 80/20 Principle and 92 Other Power Laws of Nature Summary

The 80/20 Principle and 92 Other Power Laws of Nature 87%

Work less and win more: the 93 laws from nature that multiply your business results.

by Richard Koch 2013

3.66

524 ratings

🏢 Business Strategy 📊 Power Laws 🔗 Systems Thinking ⚔️ Competitive Strategy 🧬 Business Evolution

Sports Analytics

by Benjamin C. Alamar • 2013

The playbook for installing analytics inside a sports organization, from data to decision.

3.51

130

📊 Sports Analytics 📈 Data Analytics 🗄️ Data Management 🔮 Predictive Modeling 📏 Performance Metrics

Sports Analytics 87%

The playbook for installing analytics inside a sports organization, from data to decision.

by Benjamin C. Alamar 2013

3.51

130 ratings

📊 Sports Analytics 📈 Data Analytics 🗄️ Data Management 🔮 Predictive Modeling 📏 Performance Metrics

The Model Thinker

by Scott E. Page • 2018

Big data without many models is just noise. The case for thinking through multiple frameworks.

3.92

955

🧠 Mental Models 🔄 Systems Thinking 🌀 Complexity Science 📊 Quantitative Reasoning 🕸️ Network Theory

The Model Thinker 87%

Big data without many models is just noise. The case for thinking through multiple frameworks.

by Scott E. Page 2018

3.92

955 ratings

🧠 Mental Models 🔄 Systems Thinking 🌀 Complexity Science 📊 Quantitative Reasoning 🕸️ Network Theory

The Signal and the Noise

by Nate Silver • 2012

Why weather forecasters improve while economists flounder, and what that reveals about prediction.

3.97

53k+

🔮 Forecasting Methods 🧩 Bayesian Reasoning 🧠 Cognitive Biases ⚠️ Risk And Uncertainty 🐝 Wisdom Of Crowds

The Signal and the Noise 87%

Why weather forecasters improve while economists flounder, and what that reveals about prediction.

by Nate Silver 2012

3.97

53k+ ratings

🔮 Forecasting Methods 🧩 Bayesian Reasoning 🧠 Cognitive Biases ⚠️ Risk And Uncertainty 🐝 Wisdom Of Crowds

The Signals Are Talking

by Amy Webb • 2016

Trends leave footprints at the fringe. A system for reading the future before it becomes obvious.

3.70

641

🧭 Strategic Foresight 🗺️ Scenario Planning 🔍 Pattern Recognition 🌱 Fringe Innovation 📡 Technology Forecasting

The Signals Are Talking 87%

Trends leave footprints at the fringe. A system for reading the future before it becomes obvious.

by Amy Webb 2016

3.70

641 ratings

🧭 Strategic Foresight 🗺️ Scenario Planning 🔍 Pattern Recognition 🌱 Fringe Innovation 📡 Technology Forecasting

Compare Features	Free	Pro
📖 Read Summaries Read unlimited summaries. Free users get 3 per month
🎧 Listen to Summaries Listen to unlimited summaries in 40 languages	—
❤️ Unlimited Bookmarks Free users are limited to 4	—
📜 Unlimited History Free users are limited to 4	—
📥 Unlimited Downloads Free users are limited to 1	—

People love SoBrief

Join our global community of 600,000+ readers

★★★★★

This site is a total game-changer. I've been flying through book summaries like never before. Highly, highly recommend.

— Dave G

Worth my money and time, and really well made. I've never seen this quality of summaries on other websites. Very helpful!

— Em

Highly recommended!! Fantastic service. Perfect for those that want a little more than a teaser but not all the intricate details of a full audio book.

— Greg M