Business analytics can help you manage the accelerating risk and uncertainty associated with today’s global business environments. In Global Business Analytics Models, Hokey Min empowers managers to use today’s analytical tools and techniques to gain reliable, actionable international business intelligence, and to solve many of the most urgent problems their global businesses face.
Min offers a practical, easy-to-understand overview of business analytics in a global context, focusing especially on managerial and strategic implications. After demystifying the basic quantitative tools of modern analytics, he demonstrates them at work in global applications ranging from finance and supply chain management to healthcare. Coverage includes:
- Developing analytic thinking, and operationalizing Big Data in global environments
- Capitalizing on business analytics to build a winning global strategy
- Collecting, sorting, prioritizing, storing, and managing data
- Predicting international customer behavior, segmenting global markets, and forecasting demand in unfamiliar foreign markets
- Performing international risk and assessments more effectively
- Using analytics to help plan the financing of global business operations
- Integrating international social and mobile analytics
- Overcoming cultural and technical differences that complicate the use of analytics in global firms
- Establishing effective performance metrics for your use of analytics
- Taming Big Data for global Enterprise Resource Planning (ERP)
- Making better decisions about global suppliers, manufacturing, distribution, transportation, and supply chain resilience
- Analyzing clinical, pharmaceutical, and patient behavior data to improve healthcare
- Anticipating future paths of innovation in global business analytics
THE COMPLETE GUIDE TO USING ANALYTICS TO MANAGE RISK AND UNCERTAINTY IN COMPLEX GLOBAL BUSINESS ENVIRONMENTS Practical
techniques for developing reliable, actionable intelligence–and using it to craft strategy
Analytical opportunities to solve key managerial problems in global enterprises
Written for working managers: packed with realistic, useful examples
This guide helps global managers use modern analytics to gain reliable, actionable, and timely business intelligence–and use it to manage risk, build winning strategies, and solve urgent problems.
Dr. Hokey Min offers a practical, easy-to-understand overview of business analytics in a global context, focusing especially on managerial and strategic implications. After demystifying today’s core quantitative tools, he demonstrates them at work in a wide spectrum of global applications.
You’ll build models to help segment global markets, forecast demand, assess risk, plan financing, optimize supply chains, and more. Along the way, you’ll find practical guidance for developing analytic thinking, operationalizing Big Data in global environments, and preparing for future analytical innovations.
Whether you’re a global executive, strategist, analyst, marketer, supply chain professional, student or researcher, this book will help you drive real value from analytics–in smarter decisions, improved strategy, and better management.
In today’s global business environments characterized by growing complexity, volatility, and uncertainty, business analytics has become an indispensable tool for managing these challenges. Specifically, global managers need analytics expertise to solve problems, identify opportunities, shape strategy, mitigate risk, and improve their day-to-day operational efficiency.
Now, for the first time, there’s an analytics guide designed specifically for decision-makers in global organizations. Leveraging his experience teaching a number of students and training hundreds of managers and executives, Dr. Hokey Min demystifies the principles and tools of modern business analytics, and demonstrates their real-world use in global business.
First, Dr. Min identifies key success factors and mindsets, helping you establish the preconditions for effective analysis. Next, he walks you through the practicalities of collecting, organizing, and analyzing Big Data, and developing models to transform them into actionable insight.
Building on these foundations, he illustrates core analytical applications in finance, healthcare, and global supply chains. He concludes by previewing emerging trends in analytics, including the newest tools for automated decision-making.
Compare today’s key quantitative tools
Stats, data mining, OR, and simulation: how they work, when to use them
Get the right data…
…and get the data right
Predict the future…
…and sense its arrival sooner than others can
Implement high-value analytics applications…
…in finance, supply chains, healthcare, and beyond