Business of all sizes have a problem: How do you know—in real time—whether you are earning the profit you need to grow or even just stay in business? And which products or services are doing the “heavy lifting” in contributing to profit? Financial statements tell only part of the story. They are backward looking, for...

Just about every month, housing values in the U.S. fall. That, in turn, increases the number of people who owe more on their houses than they are worth—either trapping them in homes they may no longer want or putting them in danger of financial catastrophe if they lose a job or are otherwise unable to meet the...

Everything you need to create a business forecast that potential investors can embrace!

Thinking of starting a business or raising money to expand an existing one? This popular book will show you how to write the business plan and loan package necessary to finance your business and make it work.

With...

Financial Accounting: an Introduction is aimed at first-level undergraduates on business studies degrees taking introductory financial accounting classes; first-level specialist accounting undergraduate students; introductory core accounting for MBA and postgraduate specialist Masters students (e.g. finance, actuarial studies),...

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval,...

The best-performing companies have leaders who actively apply moral values to achieve enduring personal and organizational success. Lennick and Kiel extensively identify the moral components at the heart of the recent financial crisis, and illuminate the monetary and human costs of failed moral leadership in global...

Traditional books on machine learning can be divided into two groups ― those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning...

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