In an era where data drives decisions, the ability to decode insights from social media and web interactions has become a game-changer. ‘Social Media and Web Analytics’ is your essential guide to mastering the art and science of analytics in the digital age. This all-encompassing textbook fills the gap by moving between theory and practice in understanding the importance of analytics and how they have evolved over time.
Structured from foundational concepts to advanced methodologies like predictive modelling, machine learning, and network analysis, the readers will get actionable knowledge on every chapter. This textbook illuminates the strategies behind success and what is learned from failure, through real-life examples, step-by-step explanation, and case studies.
The book is beneficial to the students of business management, data analysts, marketers, and business managers alike as a source of value and practical application in enhancing strategic decisions, improving customer experience and maximizing organization's digital presence. The book presents a complete roadmap for harnessing analytics power to succeed in measurable terms, preparing its readers for the changing tides in the digital landscape.
KEY FEATURES
• Connects theory and applications in a systemic way, laying the foundation for analytics.
• Introduces predictive modelling, machine learning, and network analysis to the readers, allowing them to acquire advanced skills.
• Teaches concepts step-by-step dividing this complex subject into smaller key areas.
• Offers real-life examples to illustrate how analytics is applied in different contexts.
• Showcases real-world case studies featuring success and failure stories from different industries to enrich students’ learning experience.
• Provides pragmatic marketing, product development, PR and customer support solutions for actionable knowledge.
• Focuses on making rational, data-driven decisions to achieve ideal digital presence and influence.
TARGET AUDIENCE
• BBA
• MBA (Marketing/Analytics)
• B.Sc. Computer Science (DSE)