Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics

By by Nathaniel Lin (Author)



Product Details  

• Series: FT Press Analytics
• Hardcover: 320 pages
• Publisher: Pearson FT Press; 1 edition (January 2, 2015)
• Language: English
• ISBN-10: 0133481506
• ISBN-13: 978-0133481501
  

BRIDGE THE GAP BETWEEN BUSINESS ANALYTICS AND BETTER DECISIONS

  

•   Overcome structural and cultural obstacles to gaining value from analytics
  
•   Optimize your use of analytics as an analyst, manager, or executive
  
•   Discover proven best practices from real cases and examples
  
  

  

You possess massive data sets. You’re constantly crunching numbers. But are you really improving your decision making? As many businesses have discovered, there’s a huge gap between merely doing analytics and gaining real value from it.

  

Applied Business Analytics will help you bridge that gap.

  
  

Using real cases and hands-on examples, Nathaniel Lin helps you successfully integrate and profit from analytics at all levels of the business: from top-level strategy to low-level operational detail.

  
  

Lin illuminates the organizational and cultural issues that break “analytics value chains,” and helps you clear away these obstacles. You’ll learn why a special breed of “analytics deciders” is indispensable for any organization aiming to compete on analytics…how to become one of them…and how to identify, foster, support, empower, and reward others to join you.

  
  

If you’re a business professional, you don’t need to be “evangelized” about analytics. But you’ve seen enough to recognize the gap between promise and reality. As elsewhere, execution makes all the difference. Applied Business Analytics will help you execute on your analytics opportunity—even if you don’t have a Ph.D. in statistics (and don’t want one)!

  
  

Through real case studies and examples, Nathaniel Lin presents powerfully effective ways to embed analytics throughout current business processes, and use it to shape strategic new processes.

  
  

Lin starts with an up-to-date primer on the basics: data, tools, and processes. Next, he systematically addresses the crucial organizational and cultural challenges businesses face when they attempt to implement analytics.

  
  

Drawing on immense personal experience, he answers critical questions such as: How should analytics change decision-making? How should you organize, manage, and integrate it? How do you effectively promote analytics-driven decision-making? What kind of predictions can analytics credibly make? How do you detect patterns you can actually act on?

  
  

Whatever your role in leading, implementing, or utilizing analytics, this guide will help you figure out where you stand, decide where to go, and get there.