Showing results for "Business Analytics" in Decision-Making & Problem Solving

A vital blueprint for organizations that want to thrive in the competitive fray, Business Analytics for Managers presents a sustainable business analytics (BA) model focusing on the interaction of IT technology, strategy, business processes, and a broad spectrum of human competencies and organizational circumstances.

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.

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.

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.

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.

Veteran data and analytics professional delivers a practical and hands-on discussion on how to accelerate business results using high-quality data.

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.

This groundbreaking resource provides comprehensive coverage across all aspects of business analytics, presenting proven management guidelines to drive sustainable differentiation. Through a rich set of case studies, author Evan Stubbs reviews solutions and examples to over 20 common problems spanning managing analytics assets and information, leveraging technology, nurturing skills, and defining processes. Delivering Business Analytics also outlines the Data Scientist's Code, 15 principles that, when followed, ensure constant movement toward effective practice.

Presenting a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics, this engaging audiobook tells you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs opinions, identify root causes behind your company's thorniest problems, and move toward a winning, future-focused business strategy.

There is so much buzz around big data. We all need to know what it is and how it works. But what will set you apart from the rest is actually knowing how to use big data to get solid, real-world business results - and putting that in place to improve performance. Big Data shows you how to implement the same practices that leading firms have used to access new dimensions of profitability. You'll learn from clear explanations and countless examples how successful organisations large and small use the SMART model to get ahead.

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.

Whether you're a CEO, CHRO, or first-time manager, The Insight-Driven Leader will elevate your leadership, equipping you to tackle perennial business challenges and deliver measurable impact in your organization.

From two pioneers in business analytics, an update of the classic book on how analytics and business intelligence are transforming competition and how leading organizations build and compete on an analytical capability. Leading companies are doing more than just collecting and storing data in large quantities - they're now driving their competitive strategies based on data-driven insights. In Competing on Analytics, Davenport and Harris explain how analytics are transforming the basis of competition in industry after industry.

List the hottest buzzwords in business today and "analytics" is bound to come out near the top. But to most people, analytics implies complex tools and technical experts manipulating massive amounts and varieties of information (i.e.,"Big Data"). But complex Big Data analytics isn't the only game in town. And many people don't realize that a business doesn't need data scientists and complex tools to derive useful information and valuable benefits from any amount of raw data.

Challenging the conventional wisdom of data-driven decision-making, marketing professors and behavioral scientists Bart De Langhe and Stefano Puntoni argue that many analytics efforts flounder because data analyses are disconnected from the decisions to be made. In their important book, they offer a new approach they call decision-driven analytics. Counterintuitively, they argue that the key to making good decisions with data is to start by putting data in the background.

A team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

In a world increasingly ruled by numbers and algorithms, award-winning journalist Chris Jones makes a compelling case for a more personal approach to analytical thinking​. THE EYE TEST is a necessary course correction, a call for a more balanced, personal approach to problem-solving...

Filled with logical yet counterintuitive answers to ordinary and extraordinary problems - whether it be buying a new home or pivoting a failing business model - Mudd's HEAD (High Efficiency Analytic Decision-making) methodology provides listeners with a battle-tested set of guiding principles that promise to bring order to even the most chaotic problems, all in five practical steps.

The authors draw on over 50 years of experience in helping companies automate, improve, and connect decisions. Using analytic techniques first pioneered by Fair Isaac Corporation, the authors clearly show how today's forward-thinking executives and managers are using analytic insights to ensure their decisions keep up with information complexity and the pace of change - especially changes in consumer behavior and attitudes, in regulations, and in competitive actions and reactions.

Mohan and Oliver have been very fortunate to have intimate views into the data challenges that face the largest organizations and institutions across every possible industry - and what they have been hearing about for some time is how the business needs to use data and analytics to their advantage. To really address the data concerns of today's enterprise, they wanted to find a way to help enterprises achieve the success they seek. Not as a prescriptive process - but a methodology to become agile and leverage data and analytics to drive a competitive advantage.