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Hilary Collins,
Terry O'Sullivan,
Steven Pearson,
Adrian Thomas,
and
Penny Walters
Topics Covered
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Topics Covered
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Topics Covered
- How technologies such as big data, the cloud and open-source are driving the digital economy
- Insight in the context of sales
- How customer insight is enabled by the digital economy
- Tools and technologies that enable businesses to use big data to access and deliver value
- How digital engagement works, and the importance of personalisation
- How the move to digital selling is being enacted across the globe
- Key trends in the digital economy and the impact on customer insight
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This comprehensive textbook provides a global perspective on sales management, covering topics such as sales strategy, sales force management, and customer relationship management. It is an excellent resource for students and professionals who want to learn more about the field of sales.
Provides a practical guide to the psychology of selling, covering topics such as building rapport, handling objections, and closing deals. It valuable resource for salespeople who want to improve their sales skills.
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Introduces the SPIN selling method, which proven sales technique that helps salespeople to identify and address the needs of their customers. It valuable resource for salespeople who want to improve their closing rates.
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Challenges the traditional view of sales and introduces a new model that is based on research. It valuable resource for salespeople who want to learn how to be more effective in their sales roles.
Provides a step-by-step guide to building a successful sales team. It valuable resource for sales managers who want to improve the performance of their teams.
Provides a practical guide to sales acceleration, covering topics such as lead generation, sales automation, and customer relationship management. It valuable resource for sales managers who want to improve the efficiency of their sales teams.
Concise guide to sales, covering topics such as prospecting, qualifying leads, and closing deals. It valuable resource for salespeople who want to learn the fundamentals of sales.
Identifies the 25 habits that are common among highly successful salespeople. It valuable resource for salespeople who want to improve their sales skills.
Provides a step-by-step guide to closing sales. It valuable resource for salespeople who want to improve their closing rates.
Provides insights into the psychology of persuasion. It valuable resource for salespeople who want to learn how to be more persuasive in their sales pitches.
Provides insights into the role of emotional intelligence in sales success. It valuable resource for salespeople who want to learn how to build relationships and connect with their customers on an emotional level.
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Provides a comprehensive overview of sales management. It valuable resource for sales managers who want to learn how to manage a sales team effectively.
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A reference for executives and policymakers who want to understand the implications of big data for the future of business and governance.
Introduces data science and its applications in business, covering topics such as data mining, data analysis, and machine learning. It provides a solid foundation for understanding the concepts and techniques involved in Big Data analysis.
Provides an in-depth introduction to machine learning, covering the fundamental concepts and algorithms used in Big Data analysis. It is written by Andrew Ng, a leading expert in machine learning, and is highly recommended for those who want to gain a deeper understanding of Big Data.
Covers the practical aspects of Big Data analytics, providing guidance on how to plan, implement, and integrate Big Data solutions in an enterprise environment. It includes discussions on NoSQL and graph databases, which are essential technologies for handling Big Data.
Provides a comprehensive guide to Hadoop, the open-source framework for Big Data processing. It covers the core concepts and components of Hadoop, as well as advanced topics such as data warehousing and machine learning.
Provides a comprehensive guide to Spark, the popular open-source framework for Big Data processing. It covers the core concepts and components of Spark, as well as advanced topics such as streaming data and machine learning.
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Provides a technical overview of Big Data principles and best practices. It covers topics such as data ingestion, data storage, and data processing. It good option for those who want to gain a deeper understanding of the technical aspects of Big Data.
Provides a comprehensive guide to text processing with MapReduce, a framework for processing large datasets. It covers topics such as tokenization, stemming, and lemmatization, as well as more advanced topics such as sentiment analysis and text classification.
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