Reap the full value of advanced analytics in the banking industry!

This event will be held in English

Tuesday 03 November, 2020 10:30 - 11:15


Date: Tuesday, 03 November, 2020
Time: 10:30 - 11:15
Where: Online
Register for the Event

Data has already been having an impact on many areas of our lives. Do you want to know how it impacts financial services in today’s business? 

Join us on 3rd November 2020 for our webinar »Reap the full value of advanced analytics in the banking industry«, and our expert, Milan Listeš, is going to provide you with interesting insights into topics such as customer intelligence, reimagined processes, new business opportunities, and balanced risk and reward.

Why is it so essential to utilize data in the right way in these segments: 

  • Customer intelligence: Personalized and more timely offering to a customer;
  • Reimagined processes: higher sales and product performance;
  • New business opportunities: introducing new revenue streams in unutilized segments; and
  • Balanced risk and reward: agile insights into exposure and credit quality.

The following topics will be covered in this webinar:

  • Infrastructure backbone in order to support the utilization of the huge amounts of data using Qlik Data Integration
  • Improved decision making when giving self-service analytics in the hands of end-users using Qlik Sense
  • Key AI topics like smart segmentation, personalized offering or churn delivered through advanced Python/R integration with self-service analytics

Additional information

  • The webinar is going to be held in English.
  • Feel free to forward this invitation to your colleagues or others that may be interested.
  • If you cannot attend, please register anyway and we are going to send the links of the recording to you after the webinar.
About the Author

Milan Listeš

Customer Landing Manager

Don't miss out

Tuesday 03 November, 2020 10:30 - 11:15

Register for the event and get fresh insights, learn new tips and tricks from people and companies using our tools in order to power their data driven decisions.