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David Nettleton

    Commercial Data Mining
    Electronic Record Keeping
    • Electronic Record Keeping

      Achieving and Maintaining Compliance with 21 Cfr Part 11 and 45 Cfr Parts 160, 162, and 164

      • 384 Seiten
      • 14 Lesestunden
      5,0(1)Abgeben

      Understanding the intersection of HIPAA regulations and industry standards is crucial for healthcare providers implementing electronic record keeping. The authors emphasize the importance of compliance with FDA-driven activities, particularly in clinical trials. They provide guidance on audit trails, validation, documentation, training, and security measures. By clarifying regulatory requirements, the book illustrates that compliance not only meets legal obligations but also enhances business efficiency, ensuring that companies remain competitive and avoid the pitfalls of inadequate record management.

      Electronic Record Keeping
    • Commercial Data Mining

      • 304 Seiten
      • 11 Lesestunden
      3,5(2)Abgeben

      Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book. Illustrates cost-benefit evaluation of potential projects Includes vendor-agnostic advice on what to look for in off-the-shelf solutions as well as tips on building your own data mining tools Approachable reference can be read from cover to cover by readers of all experience levels Includes practical examples and case studies as well as actionable business insights from author's own experience

      Commercial Data Mining