Transcript Slajd 1 - Naslovnica

Velimir Srića
Ekonomski fakultet, Zagreb
www.velimirsrica.com
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”
Global IT Industry Trends
1.
2.
3.
4.
Digital Economy, Digital Marketing and…
Mobile Cloud
Smart Machines, IoT, 3D Printers
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 Innovationsupporting Organizational Culture
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
http://www.velimirsrica.com/