Jan Sonck @ DISUMMIT 2017: “Mobile network data, a lever for augmented contextual insights”

DiS17_Speaker_09:00_Jan Sonck

Jan Sonck is the Head of Enterprise Innovation at Proximus, the largest Belgian telecommunications company, where he has also been in charge of Indirect and Multi-Channel Solutions, Marketing and Business Development. Jan is also an experienced marathon runner.

About Jan and how mobile data is being used today

Being a such a large telecommunication company as Proximus gives place to a large set of opportunities to use data, and that is what Jan came to share with us.

The fact of having an increasing  number of people using mobile devices, sketching their digital fingerprint, triggered the collaboration of academia with the telecomm companies to perform joint research offering an overview of the qualitative and quantitative elements the user is considering in his daily life.

Following academia, the collaboration has been extended to other players, such as governmental institutions (at all levels: from municipal to European) and management consulting firms.

These synergies have led to an increasing accuracy on crowd analytics displaying trajectories and new types of visualization (in 2D and 3D). This also involves fusing multiple data sources,  and promoting the importance of open data. The result of this is using mobile data for prediction on a real time basis in different contexts, ranging from large-scale events (for instance, music festivals), air quality, and mobility, among many others.

In a nutshell, collaboration should keep on permeating all sectors, keeping citizens in the loop with the way their data is being used.

A takeaway from Jan’s presentation

“The increasing complexity of data requires to have a deeper sense of collaboration”

 

We look forward to meet Jan soon so he can tell us how collaboration towards mobile data is evolving!

Jan’s interview:

Jan’s presentation recording:

Jan’s deck:

Jan’s presentation drawing:

DIS17_JanSonck

Job – Proximus – DataMiner

proximus

We have just been requested by our friends from Proximus to share this great career opportunity.

 

Business Intelligence Specialist – “Dataminer”

Mission:

Within the Customer & Market Intelligence department  belonging to the Proximus Group Strategy & Transformation, you will be part of the team  in charge of statistical analysis (predictive modelling – datamining) and advanced customer analysis.

You will answer business requests and give advice to internal customers based on advanced data analytics. You will translate those business requests into data requirements and extract, mainly by using SQl, the needed data from the Proximus Data Warehouse and other sources if needed. You will use existing datamarts or structure all relevant data in data marts specifically designed as input for your ad hoc analyses and statistical models. Your analyses can be descriptive (e.g. customer profiling and segmentation) or predictive (e.g. churn prediction models).

You will transform the data into insights to come up with recommendations to influence strategic decisions or tactical choices. You will present your conclusions and discuss them with multi-functional project teams.

You will interact mainly with colleagues from Marketing & Product Management, Data warehouse and other CMI departments.

Profile:

  • You love researching, measuring, analysing and quantifying things. You spontaneously look for patterns in data. You like precision but you are not afraid to make an educated guess.
  • You are curious, eager to learn and result driven.
  • You are good at visualizing data and making impactful presentations. You can easily express your ideas in writing or in meetings.
  • You are a team player and you stay cool under pressure in peak times.
  • You allocate your time efficiently and can manage several projects in parallel

Knowledge & experience:

  • You have a good knowledge of datamining and statistical modelling techniques.
  • You have a good  knowledge of SQL (Oracle/Teradata), BI tools, databases and Data warehouses.
  • You are able to switch between your business skills and technical skills : you start from the business question, you define the solution, you translate in scripting language (SQL) and statistical analysis and finally you present the result in a marketing understandable language
  • You have a Master degree in a quantitative oriented discipline
  • You have some years of work experience in a complex and data-driven environment.
  • You are fluent in English and Dutch or French.

 

Apply:

Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to datasciencebe@gmail.com .

Interested? The original job posting is available at this link: Business Intelligence Specialist.

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Data Innovation Summit – Datascience made in Belgium

333

Statistics about  the Summit (5/3/2015):

  • 12 hour Live streaming of the Summit
  • 6 cameras, 3 camera teams
  • 7 journalists
  • 59 Speakers,
  • 1 Deputy Prime Minister
  • 1 Rector
  • 22 CEO
  • 10 Professors
  • 15 Start-ups
  • 333 Participants
  • 22 sponsors
  • 1 time keeper
  • main exhibition area
  • vast networking area
  • 1 VIP area
  • 6 main tracks

Agenda:

  1. The Data Innovation Ecosystem
  2. The Enterprise Business Cases
  3. The Innovation Facilitators
  4. The University Challenge
  5. The Startup Sessions
  6. The Open Ignite Sessions

Confirmed speakers:

Kris Peeters | Vincent Blondel |   Philippe Van Impe |Hans Constandt | Toon Vanagt | Damien Bourgeois | Steven Noels | Elena Tsiporkova | Geert Verstraeten | Jan Sonck | Els Descheemaeker | Steven Beeckman | Laurent Fayet | Julie Coyette | Guillaume Gorge | Rik Van Bruggen | Wim Van Leuven | Jonathan Duplicy | Dries Benoit | Erik Mannens |Roald Sieberath | Thibaut Claes | Bart Hamers | Wannes Meert | Dieter Devlaminck | Andrea Dal Pozzolo | David Martens | Daniele Marinazzo | Renaud Lambiotte | Daniel Berckmans | Omar Mohout | Filip Maertens | Kristof Mertens | Mark Turcksin | Daan Gerits | Wannes Rosiers | Eric Charles | Katya Vladislavleva | Erik Laurijssen | Mehdi El Fadil | Kris Peeters | Henk De Metsenaere | Jonas Tundo | Istvan Hajnal | Eric Lecoutre |  Cain Ransbottyn | Sebastien Leempoel | Sam Rédelé | Antoon Dierick | Zbigniew ‘Zibi’ Paszkiewicz | Jochen François | Matthias Vallaey | Tijmen Weddepohl | Frank Vanden Berghen | Ferdinand Casier |

Companies presenting:

Axa euroclear_0 Agoria

sas-logo Keyrus

abl artsen zonder grenzen AXA Belga datainnovation Essent  proximus PwC_fl_c Sign2pay  startups.be swan insight yazzoom Agoria ARHS-Data Arrow-Group2 Bigdata.be Big-Industries-stamp-logo Business Insight Colruyt_logo  datalayer Dataminded_Logo_transparant_96px_0 datylon Deloitte-logo DLA Piper esperity Essent_Logo_NL  evolved-analytics finaxys Graph  iMinds_logo_CMYK Infofarm Informatica-logo Innoviris KBC Startit logo_businessdecision  Logo_Vlaanderen logo-sirris mathworks  microsoft microstrategy Neo4j 1 NG-DATA-logo ontoforce opinum 1 opinum pépite porphyrio predicube proximus_icon Python Predictions sentiance StartUps.be tangent works tribalytics-logo

 

More info:

Sponsors of the Data Innovation Summit – Brussels

This event is organized by

Brussels Data Science Community

We love doing data for good

Structural Summit Partners

Axa  Agoria  Euroclear

Academic Partners

ucl_logo KUL ULB  Ugent   ULG   UMONS   UNamur   Universiteit Antwerpen   vub_0

Summit Sponsors

sas-logo Keyrus

Exhibitors

Business Insight   logo_businessdecisionBig-Industries-stamp-logo  Arrow-Group2    finaxys  datalayer   Infofarm   Keyrus   mathworks microstrategy   neo4j   pépite    sentianceDeloitte-logoRIAInformatica-logo Dataminded_Logo_transparant_96px_0

Job-flash partners

Telecom Meetup was a hit – 173 registrations – Full aula @ VUB – Happy crowd

 

 

Thank you Jan, Renaud and Wim for the excellent presentations, thank you Gautier for orchestrating this event.

Latest news from our community by Philippe Van Impe – slides

Overview of data Science in the Telecom Industry and speakers introduction

Moderator: Gautier Krings – Head of Research @ Real Impact Analytics

  • Jan Sonck – Head of Enterprise Innovation @ Proximus – slides
    How do we use Data Science in a Telecom Operator?
    All Posts
    Example of external use cases: which business question, which data? What about privacy concerns?
  • Renaud Lambiotte – Assistant Professor @ FUNDP – slides 
    Social networks, from Granovetter to Zuckerberg 
  • Wim Hellemans – Head of Knowledge @ Real Impact Analytics
    How to convert Telecom data into insights?
    What are the benefits and challenges of processing telecom data.

Pictures of the event are available here .

Introduction slides here:

 

 

 

Meetup – DataScience & Telco – February 19th – Brussels

meetup

 

How often do you use your mobile phone every day?

Yes, the telecom industry is one of the richest in terms of customer data!

This gold mine of data has led telecom operators to be at the forefront of Big Data applications and has attracted leading researchers from the academic world. This session will reveal how these exceptional data sources can be leveraged, from 3 different points of view: the telecom operator, the academia and the telecom Big Data solution provider.

Join us to understand why the telecom industry is attracting so many data scientists.

Agenda

18h30 – Opening

Update on the activities of the community

– Doing the Data Science Moocs together
– Vitual Global Hackathon – HACKSKI
– Overview of the outstanding datascience vacancies in Belgium
– Agenda of coming events, trainings, …

Introduction by moderator

Overview of data Science in the Telecom Industry and speakers introduction

Moderator: Gautier Krings – Head of Research @ Real Impact Analytics

  • Jan Sonck – Head of Enterprise Innovation @ Proximus
    How do we use Data Science in a Telecom Operator?
    Example of external use cases: which business question, which data? What about privacy concerns?
  • Renaud Lambiotte – Assistant Professor @ FUNDP
    Social networks, from Granovetter to Zuckerberg 
  • Wim Hellemans – Head of Knowledge @ Real Impact Analytics
    How to convert Telecom data into insights?
    What are the benefits and challenges of processing telecom data.

21h00: Open Sessions

Attendants are invited on the spot to share in a few minutes interesting DataScience issues they have  encountered in the last month. Recent startups, other meetup groups and teamleaders recruiting experts are welcome to do their pitch.

21h30: Networking @ KultuurKaffee

 

Register on the Meetup page please.

Data Sciences in the Telecom Sector

Thursday, Feb 19, 2015, 6:30 PM

VUB – Aula QB
Pleinlaan 2B – 1050 Brussels, BE

90 Business & Data Science pro’s Attending

How often do you use your mobile phone every day?Yes, the telecom industry is one of the richest in terms of customer data!This gold mine of data has led telecom operators to be at the forefront of Big Data applications and has attracted leading researchers from the academic world.This session will reveal how these exceptional data sources can b…

Check out this Meetup →