One challenge with big data and other secondary analytics initiatives is getting access to large and diverse data. Secondary analytics allow insights beyond the questions that data initially collected can answer. This practical book introduces techniques for generating synthetic data—fake data generated from real data—that can provide secondary analytics to help you understand customer behaviors, develop new products, or generate new revenue.
CTOs, CIOs, and directors of analytics will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps of synthetic data generation from real data sets. Business leaders will examine how synthetic data can help accelerate time to a solution.

Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data

Computers & Technology

Hoptroff, Richard

Mosquera, Lucy

Emam, Khaled El

Computer Science

O'Reilly Media

Data Mining and Business Intelligence: A Guide to Productivity

An overview of data mining technology and how it is applied in a business environment. Methodologies are described that solve a variety of business problems and enhance firm-level efficiency in a less technical, managerial style. The book also incorporates the data mining process into the spectrum of complementary technologies that together comprise corporate information systems that promote business intelligence. Business intelligence involves the proliferation of value-added information throughout a given enterprise through the use of various software applications that promote efficiency for the firm.

Business & Money

Kudyba, Stephan

Management & Leadership

IGI Global

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Books by Hoptroff, Richard