ZAGREB CROATIA

3 keynotes / 16 talks
Awesome and great speakers

June 28th, 2017, HUB385, Zagreb, Croatia
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BI Team Leader at Banca Intesa Beograd

Vladimir Markovic

Comprehensive experience in DW/BI design and development primarily based on Microsoft and SAS BI platforms and products. This experience is further bolstered by years of working in implementation and development different kinds of DW/BI solutions and products.

Vladimir has comprehensive experience in DW/BI design and development primarily based on Microsoft and SAS BI platforms and products. This experience is further bolstered by years of working in implementation and development different kinds of DW/BI solutions and products.

During his work in the bank, he’s gained broad business background in different fields of BI application especially in analytical customer intelligence, credit risk scoring, credit risk portfolio management and accounting.

He is an experienced trainer and presenter. He enjoys sharing enthusiasm by presenting and promoting DW/BI at courses, user groups, technical events and conferences.

Vladimir holds a MSc in Math and Computer Science from Faculty of Mathematics, University of Belgrade. Areas of his interest are dimensional modeling and data mining. He plays chess in his free time.


Vladimir’s

Presentations

Everything about the company is a subject of “public judgment” on social networks. There are a lot of data and information about the company on social networks.  Quality of the product, how customers use them, kindness staffs, community clustering are just a few of them. Moreover, you can monitor your competition.



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Vladimir’s

Sessions and Workshops

A workshop is embedded into a conference; it doesn’t take place on its own, but it takes place during the main conference.


Session

Social Sentiment and Sales: Banka Intesa Beograd

Banca Intesa Beograd has recognized the possibilities of big data concept. Establishing Hadoop environment, collecting post of interest in real time, classification and distribution to all stakeholders in the bank was selected as a pilot project.

The presentation presents a study of the concept of using big data and Hadoop environments in the case of social networks with a clear objective: to improve sales and service.

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