Velimir Srića Ekonomski fakultet, Zagreb

What is Important in Business? Client satisfaction Employee satisfaction Cash flow Customer is a king (dictator); Customer relationship management (CRM) is the key business process Customer loyalty and advocacy is critical 5 to 8 times cheaper to retain the existing client than to get a new one Only one in 20 customers files a complaint 68% of “churn” is due to “client experience”

1.Digital Economy, Digital Marketing and… 2.Mobile Cloud 3.Smart Machines, IoT, 3D Printers 4.Data-driven Organizations, Big Data and Analytics 5.New Learning and Gamification 6.Agile Software Development 7.BYOD, Virtual Offices, Telework 8.Creative Industry 9.Balancing Identity and Privacy 10.Nonhierarchical Collaborative Innovation-supporting Organizational Culture Global IT Industry Trends

About this Book 1.Fits into the actual IT trends: Big Data – Big Questions and Big Answers 2.Opens a door to the world of Data-driven Organizations 3.Deals with an important topic: Churn Prediction as a means for forecasting and risk management 4.Connects the “hard” and the “soft” issues: “behavioral” analytics obtained through Social Network Analysis 5.Based on 20 years of research and practical experience in Data Mining 6.Provides two interesting cases (Retail and Telecommunications industry)

Big Data Gets Fast 2015 is the year of Big Data that’s also fast While big data offers the promise of better business decisions, that promise remains largely unfulfilled so far Mostly because the process of transforming big data into actionable information is still too slow Today, business happens in real time. Yet most big data analytics are still running on batch time There’s a need to deliver big data’s insights in real time and provide these insights to business users in the form of new and diverse applications By enabling employees and customers to make more informed decisions faster, big fast data will finally lead to big business successes

From Big Data to Extreme Data Simpler analytics tools needed to leverage the data deluge It's the three Vs—volume, velocity, and variety—that make big data such a difficult issue The technology world hasn't quite caught up with the need for trained data scientists and the demand for easy-to-use tools that can give industries ability to put the data they gather into meaningful perspective The current era of extreme data requires new paradigms and practices in data management and analytics, and the race is on to establish leaders in the space

Key Contributions First in the field Demolishing myths: Not all churn is bad; Churn modelling is only 20% data mining, the rest is deciding what to analyze and how to prepare for it; More than one method is needed… SNA and Data Mining combined Practical almost as a Cook book Clever and smart