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{ "item_title" : "Data Analytics for Effective Decision-Making in Organizations", "item_author" : [" Jonathan Pierce "], "item_description" : "The useful and approachable book Data Analytics for Effective Decision-Making in Organizations: Practical Techniques to Drive Insight-Based Results aims to help readers understand how data can be turned into actionable insights that support more informed organizational decisions. Organizations must go beyond intuition and embrace analytical strategies that boost productivity, reduce uncertainty, and deliver long-term value in an increasingly competitive, information-driven environment.This book covers every step of the analytics process, from comprehending business issues and gathering trustworthy data to using analytical models and effectively conveying insights. It explains the fundamental concepts of descriptive, diagnostic, predictive, and prescriptive analytics. It demonstrates how these techniques can be used for a variety of crucial organizational functions, including human resources, operations, marketing, finance, and strategic planning.Readers will learn useful methods for identifying trends, analyzing results, assessing risks, and developing action plans based on solid facts. To ensure that analytical projects have a lasting organizational impact, the book also emphasizes the importance of data governance, ethical responsibility, data literacy, and long-term monitoring of analytics outcomes.This book, intended for professionals, managers, decision-makers, and students, blends fundamental information with practical applications to enable self-assured, insight-driven leadership and help organizations thrive in a changing, data-centered business environment.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/824/095/9798240950322_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data Analytics for Effective Decision-Making in Organizations|Jonathan Pierce

Data Analytics for Effective Decision-Making in Organizations : Practical Techniques to Drive Insight-Based Results

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Overview

The useful and approachable book Data Analytics for Effective Decision-Making in Organizations: Practical Techniques to Drive Insight-Based Results aims to help readers understand how data can be turned into actionable insights that support more informed organizational decisions. Organizations must go beyond intuition and embrace analytical strategies that boost productivity, reduce uncertainty, and deliver long-term value in an increasingly competitive, information-driven environment.This book covers every step of the analytics process, from comprehending business issues and gathering trustworthy data to using analytical models and effectively conveying insights. It explains the fundamental concepts of descriptive, diagnostic, predictive, and prescriptive analytics. It demonstrates how these techniques can be used for a variety of crucial organizational functions, including human resources, operations, marketing, finance, and strategic planning.Readers will learn useful methods for identifying trends, analyzing results, assessing risks, and developing action plans based on solid facts. To ensure that analytical projects have a lasting organizational impact, the book also emphasizes the importance of data governance, ethical responsibility, data literacy, and long-term monitoring of analytics outcomes.

This book, intended for professionals, managers, decision-makers, and students, blends fundamental information with practical applications to enable self-assured, insight-driven leadership and help organizations thrive in a changing, data-centered business environment.

Details

  • ISBN-13: 9798240950322
  • ISBN-10: 9798240950322
  • Publisher: Jonathan Pierce
  • Publish Date: June 2026
  • Dimensions: 9 x 6 x 0.4 inches
  • Shipping Weight: 0.57 pounds
  • Page Count: 188

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