Showing results for "Data Analytics" in Management & Leadership

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications.

Data analytics offer an incredible opportunity to predict the future, engage with new technological advancements, and gain valuable insights about your business. But unless you're staying on top of the cutting edge of analytics, your company is wasting that potential-and your competitors will be gaining speed while you fall behind. These articles by experts and consultants will help you understand today's essential thinking about what data analytics are capable of and how to adopt their use in your organization.

Marc Andreesen once said that "markets that don't exist don't care how smart you are." Whether you're a startup founder trying to disrupt an industry, or an intrapreneur trying to provoke change from within, your biggest risk is building something nobody wants. Lean Analytics can help. By measuring and analyzing as you grow, you can validate whether a problem is real, find the right customers, and decide what to build, how to monetize it, and how to spread the word.

Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data—to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others.

Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values, and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits, and identify new business opportunities.

Hosted by Al Martin, WW VP of Technical Sales at IBM, Making Data Simple cuts through the hype to reveal how data and AI reshape the modern enterprise.Thought leaders, researchers, and innovators share firsthand lessons on leading teams, scaling analytics, and driving real-world impact—delivered in Al’s signature straightforward, witty style.Tune in to Making Data Simple today. From data and AI breakthroughs to leadership hacks, top experts drop actionable gems that help businesses thrive in a data-driven world. #MakingDataSimple #AI #Leadership

Data. It's the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.

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 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.

🎧 Welcome to Data Analytics Chat – the podcast where data meets real careers. Data isn’t just numbers; it’s a journey. Each episode, we explore a key topic shaping the world of data analytics while also discussing the career paths of our guests.This podcast brings together top experts to share:- Insights on today’s biggest data trends- The challenges they’ve faced (and how they overcame them)- Their career journeys, lessons learned, and advice for the next generation of data professionalsThis is for anyone passionate about data and the people behind it.👉 Hit subscribe and join...

From technology, media, and retail to sport teams, government agencies, and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety, and so much more. Organized for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved, and the processes put in place to make it practical, as well as the technical details, challenges, and lessons learned from each unique scenario.

Today, mobile connections are so readily accessible that it is perhaps easy to forget the time when only the elite had access to a phone provided by the sole operator: the Government of India. It all changed in the early 1990s as liberalisation stirred the Indian economy out of its decades of...

What’s the difference between your competitor and your enemy? You know who your competitors are. You keep tabs on them regularly, and can list them calmly, along with their strengths and weaknesses. But your enemies are a whole other matter. They’re the haters and the doubters who said...

The need for this book is driven by the rapid pace of change and innovation in the business world. Traditional business models and strategies that may have worked in the past are no longer as effective, and new technologies and emerging trends are constantly disrupting the industry. To stay...

Management consulting is seen as a glamorous profession. Behind the mystique are the consultants who put in extraordinary effort, synthesize great problem-solving skills and display fine personal attributes that enable them to capture the attention and respect of their clients. This book...

This is a Podcast about market research and data analytics. It discusses the importance of market research for businesses. The Podcast also details challenges faced by businesses today. Some of the important points from this Podcast are that market research can help with things like understanding customers and increasing brand awareness.

In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies.

Tales of business leaders uncovering insight from their data to drive growth and profits. Data Secrets is a true crime style business podcast hosted by Nathan Settembrini and produced by Allegro Analytics. The video version is available on YouTube and Spotify.

Plain-English guidance for strategic business analytics and big-data implementation. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice.

Is the value of your enterprise analytics SAAS or AI product not obvious through it’s UI/UX? Got the data and ML models right...but user adoption of your dashboards and UI isn’t what you hoped it would be?While it is easier than ever to create AI and analytics solutions from a technology perspective, do you find as a founder or product leader that getting users to use and buyers to buy seems harder than it should be?If you lead an internal enterprise data team, have you heard that a ”data product” approach can help—but you’re concerned it’s all hype?My name is Brian T. O’Neill,...