The document details VIP Mobile, Serbia's youngest mobile operator, highlighting its significant investments, market share, and commitment to social responsibility. It emphasizes their focus on data utilization, including the development of advanced analytics and AI capabilities among their workforce. Additionally, it outlines the 'handset recommender' model for personalized customer recommendations based on comprehensive data sets.

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Vip mobile
Data in VIP – Data is V.I.P.

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> The youngest mobile operator in Serbia setting new standards on telecommunication market
> The biggest Greenfield investment in Serbia to-date, with so far invested EUR 977 million
> Provider of cutting edge mobile communication, digital, data and IT services and solutions
> Over 1,400 experts aiming to provide the best experience to 2.2 million customers
> 23.8% market share and EUR 249 million revenues in 2018
> One of the most gender sensitive companies in Serbia
> The very first Family Friendly company in Serbia
> Trustful partner and a driver of positive changes in the society and environmental activism
ABOUT VIP MOBILE

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Experts interacting with data teams &
enabling data-use-cases
Experts with the best fit from different areas
25-30 identified Data Scientists & Big Data Engineers
Advanced Analytics & AI I Competence
Development with A1 Learning Hub
Building up new capabilities to gain the full potential of data
The success in the digital economy will largely depend on successful utilization of data, both for internal business optimization and external monetization. A
comprehensive approach in building up the right knowledge, mindset and toolset is needed across the whole organization.
A1data
Top Experts
Experts to
be
Junior Data Scientists
& Junior Big Data
Engineers
Data for Business
(affected experts/
business)
Senior Management*
Managers*
All employees
▪ Develop more seniority among the data scientists & data engineers
▪ Develop skills for executing strategic use-cases
▪ Community building & preparation for internal coach/trainer role
▪ Identify potential to develop into data roles
▪ Learning path longer than a year
▪ Enable & strengthen community exchange with top experts
▪ Build up general understanding of Advanced Analytics, AI & Big Data to be
able to understand the development into a data-driven-company
▪ Intense program to build up the right data capabilities
▪ Educate business experts to work with data team and in a more data-driven
way
▪ Use-case-driven: focus on strategic use-cases and execution
GOALS 2019 PER TARGET GROUPTARGET GROUP

4. > Advanced Analytics and Reporting Expert
> Business Intelligence Developer
> Senior Data Engineer
> Senior DevOps Engineer
Selections in progress
> Data Engineer
> DevOps Engineer
> Program Manager
> People Manager
> Team Lead Cloud Software Engineer
> Team Lead Data Program Manager
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Open positions

5. Dilbert’s case
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6. BIG data, AI, Machine learning, Deep learning, Data science – buzz or…
Our Toolbox
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Our Analytics
> Forecasting (Time Series)
> Classification and regression
> Cluster Analysis
Our Way of work

7. HANDSET RECOMMENDER – CASE
Create handset recommendation model which will set list of top 2 recommended handsets per customer.
> Best buy: for current portfolio handsets
> Buy by hype: extension of best buy - (GSM arena – Top 10 list and/or YouTube Analytics smartphone
trending and/or any other social media data )
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8. HANDSET RECOMMENDER – DATA SETS
Vip mobile will provide following datasets for modeling:
> First data set will consist of historical customer data, handsets bought in last few years: brand and
price range
> Second data set is behavioral and relevant to customer status and lifestyle preference: customer
tenure, brand, payment behavior, usage behavior as VIP customer etc.
> Third data set is Current Vip portfolio list
Vip mobile will not provide external data GSM arena/YouTube Analytics/Google trends/other social
media.
Usability of models for VIP: - handsets are ranked according to their relevancy, and the most relevant ones
for every model are shown to the user.
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9. HANDSET RECOMMENDER – Evaluation
Evaluation process will weight each of the models delivered:
> Accuracy ( up to 50 points)
> Level of automation ( up to10 points).
> Best buy and hype models will be scored separately (15 points per solution)
> Code clearness and comments ( up to10 points)
> Preferred solutions: collaborative filtering, neural network, content based or hybrid model of those 3
methods more than regression models.
> Regression models -– negative points (30 points)
> Any added value for Vip mobile, any deep insight of data should be scored on top with 20 points.
Output for handset recommender model should have:
Code
Presentation
Output data as tab delimited file format (matrix or tabular)
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10. Thank you!