Drive maximum business value from digital analytics, web analytics, site analytics, and business intelligence! In Building a Digital Analytics Organization, pioneering expert Judah Phillips thoroughly explains digital analytics to business practitioners, and presents best practices for using it to reduce costs and increase profitable revenue throughout the business. Phillips covers everything from making the business case through defining and executing strategy, and shows how to successfully integrate analytical processes, technology, and people in all aspects of operations. This unbiased and product-independent guide is replete with examples, many based on the author’s own extensive experience. Coverage includes: key concepts; focusing initiatives and strategy on business value, not technology; building an effective analytics organization; choosing the right tools (and understanding their limitations); creating processes and managing data; analyzing paid, owned, and earned digital media; performing competitive and qualitative analyses; optimizing and testing sites; implementing integrated multichannel digital analytics; targeting consumers; automating marketing processes; and preparing for the revolutionary “analytical economy.” For all business practitioners interested in analytics and business intelligence in all areas of the organization.
Author: Mupepi, Mambo
Publisher: IGI Global
Release Date: 2017-01-25
Genre: Business & Economics
The ultimate success or failure of a business in modern society depends on a variety of factors across all levels of the organization. By utilizing dynamic human resource planning techniques, businesses can more efficiently reach their goals. Effective Talent Management Strategies for Organizational Success is a pivotal reference source that provides scholarly perspectives on the latest practices for leveraging human capital in business environments to maintain and increase competitive advantage. Highlighting innovative coverage across relevant topics, such as division of labor, intellectual assets, and value creation systems, this book is ideally designed for managers, professionals, academics, practitioners, and graduate students seeking emerging research on optimizing talent management in modern businesses.
Networking for Big Data supplies an unprecedented look at cutting-edge research on the networking and communication aspects of Big Data. Starting with a comprehensive introduction to Big Data and its networking issues, it offers deep technical coverage of both theory and applications. The book is divided into four sections: introduction to Big Data, networking theory and design for Big Data, networking security for Big Data, and platforms and systems for Big Data applications. Focusing on key networking issues in Big Data, the book explains network design and implementation for Big Data. It examines how network topology impacts data collection and explores Big Data storage and resource management. Addresses the virtual machine placement problem Describes widespread network and information security technologies for Big Data Explores network configuration and flow scheduling for Big Data applications Presents a systematic set of techniques that optimize throughput and improve bandwidth for efficient Big Data transfer on the Internet Tackles the trade-off problem between energy efficiency and service resiliency The book covers distributed Big Data storage and retrieval as well as security, trust, and privacy protection for Big Data collection, storage, and search. It discusses the use of cloud infrastructures and highlights its benefits to overcome the identified issues and to provide new approaches for managing huge volumes of heterogeneous data. The text concludes by proposing an innovative user data profile-aware policy-based network management framework that can help you exploit and differentiate user data profiles to achieve better power efficiency and optimized resource management.
Learn the concepts and methods for creating economic and business value with digital analytics, mobile analytics, web analytics, and market research and social media data. In Digital Analytics Primer , pioneering expert Judah Phillips introduces the concepts, terms, and methods that comprise the science and art of digital analysis for web, site, social, video, and other types of quantitative and qualitative data. Business readers—from new practitioners to experienced executives—who want to understand how digital analytics can be used to reduce costs and increase profitable revenue throughout the business should read this book. Phillips delivers a comprehensive review of the core concepts, vocabulary, and frameworks, including analytical methods and tools that can help you successfully integrate analytical processes, technology, and people into all aspects of business operations. This unbiased and product-independent primer draws from the author's extensive experience doing and managing analytics in this field.
Author: Stephen J. Porth
Release Date: 2003
Genre: Business & Economics
Good strategic managers are good general managers. Successful strategic management requires an ability to see the organization as a whole, to step out of the functional mindsets that students and managers tend to acquire through previous course work or work experience. Strategic Management: A Cross-Functional Approach is the first text to truly integrate the fields of management, finance/accounting, international business, information systems, and marketing in a systematic and cohesive model. Features of the book: bull; bull;The theory and tools of strategic management are introduced and discussed from a cross-functional perspective. bull;Emphasis is on value creation for the customer, the employee, and the owner. bull;Each chapter begins with a "focus company" example such as Nike, Microsoft, and Hilton, which is then referred to throughout the chapter to illustrate key points. bull;A text-specific Web site with updated information and resources is available at www.prenhall.com/porth.