From Big Data To Smart Data(1st Edition)
Authors:
Colin Strong, Stuart Crawford Browne
In Stock: 2 Left
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Solution Manual Includes
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$9.99
Book details
ISBN: 0749472111, 9780749472115
Book publisher: Kogan Page, Limited
Book Price $0 : In 'From Big Data To Smart Data' by Colin Strong and Stuart Crawford-Browne, the authors embark on an insightful exploration of how organizations can transition from merely accumulating vast amounts of data to utilizing it effectively for informed decision-making. This book provides a comprehensive solution manual for businesses aiming to convert raw data into actionable insights, creating smart data streams that enhance predictive analytics and optimize customer engagement. The authors delve into methodologies such as machine learning, data mining, and big data analytics, emphasizing the importance of data quality over quantity. The 'Answer Key' to intelligent data usage lies in transforming data into information that impacts strategic business outcomes in real-time. By integrating a structured table of content, the book guides readers through technical concepts such as cloud computing, data governance, and AI-driven analytics platforms. These chapters reveal how organizations can unlock the potential of smart data to drive innovation and competitive advantage. 'From Big Data to Smart Data' has been well-received by both practitioners and academics for its clarity and practicality, especially those involved in data science, business intelligence, and information technology. The book addresses current challenges in data privacy and ethical data usage, making it a critical reference in today's data-driven economy. LSI Context: The methodology focuses on the intersection of data science and business strategy, employing algorithms and statistical models to convert big data into valuable insights, with emphasis on ethical data management and analytical frameworks that champion informed decision-making. For affordable and technically sound references, this cheap manual is highly recommended.
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