For years, organizations have struggled to make sense out of their data. IT projects designed to provide employees with dashboards, KPIs, and business-intelligence tools often take a year or more to reach the finish line...if they get there at all.
This has always been a problem. Today, though, it's downright unacceptable. The world changes faster than ever. Speed has never been more important. By adhering to antiquated methods, firms lose the ability to see nascent trends—and act upon them until it's too late.
But what if the process of turning raw data into meaningful insights didn't have to be so painful, time-consuming, and frustrating?
What if there were a better way to do analytics?
Fortunately, you're in luck...
Analytics: The Agile Way is the eighth book from award-winning author and Arizona State University professor Phil Simon.
Analytics: The Agile Way demonstrates how progressive organizations such as Google, Nextdoor, and others approach analytics in a fundamentally different way. They are applying the same Agile techniques that software developers have employed for years. They have replaced large batches in favor of smaller ones...and their results will astonish you.
Through a series of case studies and examples, Analytics: The Agile Way demonstrates the benefits of this new analytics mind-set: superior access to information, quicker insights, and the ability to spot trends far ahead of your competitors.
Table of contents
- Preface: The Power of Dynamic Data
- Introduction It Didn’t Used to Be This Way
Part One Background and Trends
Chapter 1 Signs of the Times Why Data and Analytics Are Dominating Our World
- The Moneyball Effect
- Digitization and the Great Unbundling
- Amazon Web Services and Cloud Computing
- Not Your Father’s Data Storage
- Moore’s Law
- The Smartphone Revolution
- The Democratization of Data
- The Primacy of Privacy
- The Internet of Things
- The Rise of the Data-Savvy Employee
- The Burgeoning Importance of Data Analytics
- Data-Related Challenges
- Companies Left Behind
- The Growth of Analytics Programs
- Chapter 2 The Fundamentals of Contemporary Data A Primer on What It Is, Why It Matters, and How to Get It
- Chapter 3 The Fundamentals of Analytics Peeling Back the Onion
- Chapter 1 Signs of the Times Why Data and Analytics Are Dominating Our World
Part Two Agile Methods and Analytics
- Chapter 4 A Better Way to Work The Benefits and Core Values of Agile Development
- Chapter 5 Introducing Scrum Looking at One of Today’s Most Popular Agile Methods
- Chapter 6 A Framework for Agile Analytics A Simple Model for Gathering Insights
Part Three Analytics in Action
- Chapter 7 University Tutoring Center An In-Depth Case Study on Agile Analytics
- Chapter 8 People Analytics at Google/Alphabet Not Your Father’s HR Department
- Chapter 9 The Anti-Google Beneke Pharmaceuticals
- Chapter 10 Ice Station Zebra Medical How Agile Methods Solved a Messy Health-Care Data Problem
- Chapter 11 Racial Profiling at Nextdoor Using Data to Build a Better App and Combat a PR Disaster
Part Four Making the Most Out of Agile Analytics
- Chapter 12 The Benefits of Agile Analytics The Upsides of Small Batches
- Chapter 13 No Free Lunch The Impediments to—and Limitations of—Agile Analytics
- Chapter 14 The Importance of Designing for Data Lessons from the Upstarts
- Part Five Conclusions and Next Steps
- Selected Bibliography
- About the Author
- Title: Analytics
- Release date: July 2017
- Publisher(s): Wiley
- ISBN: 9781119423478
You might also like
Programming Rust, 2nd Edition
The Rust programming language offers the rare and valuable combination of statically verified memory safety and …
Fluent Python, 2nd Edition
Python’s simplicity lets you become productive quickly, but often this means you aren’t using everything it …
Introduction to Machine Learning with Python
Machine learning has become an integral part of many commercial applications and research projects, but this …
Kafka: The Definitive Guide, 2nd Edition
Every enterprise application creates data, whether it consists of log messages, metrics, user activity, outgoing messages, …