Business Analytics Challenge

Are you interested in working with real-life big data to find innovative solutions to actual business problems? Join us now and get an opportunity to compete with other students while improving your own advanced analytics skills.


A short intro to Business Analytics Challenge (1:20)

The Challenge

  • 1.  Business Analytics Challenge

    1.  Business Analytics Challenge

    Business Analytics Challenge is a new initiative aimed at students interested in working with real life data to solve actual business problems. Students having the top five best solutions will go all way to the final event inspired by Dragon’s Den, where students with the top three solutions will be awarded with prizes of DKK 150,000 and job interviews.

    Business Analytics Challenge is provided by KMD, Danske Bank, and Microsoft in order to innovate the way we collaborate, and show how we can join efforts to create innovative learning partnerships for the benefit of students, universities and businesses.

    Join us and train your skills on building innovative solutions based on real life data!
  • 2.  Business Problem

    2.  Business Problem

    Through recent years, we have seen company status change suddenly and even big corporations have gone into distress while other companies escalate in growth. Therefore, it is crucial from both a society and a banking point of view that we can be proactive to both limit the consequences for distressed companies and boost success for growth companies. To be truly proactive, we need to be able to predict a company's future development.

    This is where we need you…

    We hope you can help us find a good model to predict a company’s status 6 months ahead of time.

    It is up to you if you want to focus on both modelling companies with success and companies in distress, or you select one of them. Thus, you can create your own target definitions to model after, or you can use the obvious targets in data e.g. defaulted or not.

    The important thing is, to make your decided project scope and assumptions/definitions obvious in your final submitted report.

  • 3.  Hand-In

    3.  Hand-In

    All groups must submit a written report of maximum 15 pages. The report might include; a presentation of the solution, results, and how it can be used (implementation/execution) as well as its value.
    All reports are evaluated and top five goes directly to the finals.

    More information about hand-in details will appear on this web page before submission.

  • 4.  Evaluation Criteria

    4.  Evaluation Criteria

    Key words to remember for overall evaluation include

    Model Performance – how well is the model predicting company status in a test dataset?
    Value – what is the value generated?
    Impact – what is the impact? Examples could be customer impact or impact on society
    Pitch – can you explain your approach and techniques and overall sell your idea to a panel?

    Further, we will give extra points to groups who manage to incorporate both anonymous and public datasets in their submission

  • 5.  Get Access to Real Life Data

    5.  Get Access to Real Life Data

    We provide an exciting collection of real life data related to companies in Denmark. The data consist of public data from the Basic Public Information (Grunddata) as well as anonymized historical financial- and behavioral figures for medium sized Danish Companies. Furthermore, we have added social reviews from Truspilot and smiley status for the food industry. Lastly we have enriched the data with distance measures from geographical points to public facilities like train stations, parks, etc.


    See how to connect to the remote desktop to access data and various programs for analytics. (2:03)

    Read more on &

  • 6.  Platform & Tools

    6.  Platform & Tools

    The Data Science Virtual Machine runs on Windows Server 2012 and contains popular tools for data exploration, modeling and development activities.
    Azure Machine learning provides an easy to use graphical user interface for designing, testing and deploying machine learning algorithms. R and Python are supported directly for more advanced needs.

    The tools on the virtual machine include

    • Microsoft R Server Developer Edition (An enterprise ready scalable R framework)
    • Anaconda Python distribution
    • Julia Pro developer edition
    • Jupyter notebooks for R, Python and Julia
    • Visual Studio Community Edition (with Python, R and node.js tools)
    • Power BI desktop
    • SQL Server 2016 Developer (using Microsoft R Server)
    • Microsoft Cognitive Toolkit (CNTK 2.0) and mxnet (deep learning tools)
    • ML algorithms like xgboost, Vowpal Wabbit

    Learn more about Azure >


The top three teams are awarded with the following prizes*

1st DKK 75,000 and job interviews
2nd DKK 50,000
3nd DKK 25,000

* Note: Prizes from competitions to limited audiences are defined as taxable income and should be included in your tax return. Taxable income can impact your SU and/or the amount you are allowed to earn while receiving SU.

Sign Up 

Who can participate?

All active students enrolled in a Danish University as a student on either bachelor- or master level. You need to have a university student e-mail to be able to sign up. Exchange students in Denmark and Danish students on exchange can participate. You can sign up alone or in groups of up to five persons. 

Sign Up Process 

Registration for Business Analytics Challenge is open from February 1st until March 31th 2017

Follow these steps and you are on board

  1. Download Terms and Conditions below. Read and sign.
  2. Send the signed contracts from all members in your group in a mail to including following information for all members individually: Team name, Full name, Study, University and e-mail (university student e-mail is required)

When we receive your e-mail, we will send you a confirmation of your registration, information on how to access the platform and data plus log on tokens to the Azure platform.

Terms and conditions >

Q&A to Terms and Conditions (pdf) >

Events & Dates

  • 1.  Sign Up

    1.  Sign Up

    Date: 1 February – 31 March 2017 
    Time: 00.00-23.59
    Adress: Online via

    The Business Analytics Challenge is open for sign up from February 1st until March 31th 2017.

    After sign up you will receive information on how to access platform and data.

    What are you waiting for? The sooner you sign up the sooner you can get started.

    We have created a mix and match group on Facebook. Click here, to find a group or group members.

  • 2.  Kick-Off Event

    2.  Kick-Off Event

    Date: 7 March 2017
    Time: 17.00-20.00
    Adress: Microsoft Danmark, Kanalvej 7, 2800 kgs. Lyngby

    Sign-up: The kick-off event is free, however sign-up is required. Please, sign up latest 3 March 2017. 

    Please, sign up here.

    Learn more about the Business Analytics Challenge at the kick-off. Meet the winner of Business Analytics Challenge 2016, get introduction to the data, and enjoy sandwiches provided by us. 


    16.45 – 17.00 Coffee and registrationRikke Bech-Olsen
    17.00 – 17:10 WelcomeMichael Israelson
    17.10 – 17.25 The value of open dataNiels May Vibholt, Erhvervsstyrelsen
    17.25 – 17.35 Meet the winner of Business Analytics Challenge 2016Martin A. Jørgensen
    17.35 – 17.05 Introduction to Business Analytics Challenge 2017Katrine Wex
    17.05 – 18.35 Introduction to dataMartin F. Hansen & Ditte I. Marcussen
    18.35 – 18.45 Thank you for comingMichael Israelson
    18.45 – 20.00 Sandwich and networking 

  • 3.  Mid-Term Meeting

    3.  Mid-Term Meeting

    Date: To be announced
    Time: To be announced 
    Adress: Online via invitation

    We will host online training sessions where you will have the opportunity to ask questions on data and the platform to relevant specialists.

  • 4.  Submission

    4.  Submission

    Date: 1 June 2017
    Time: 23.59
    Adress: Online submission / via e-mail

    All reports are submitted.

    Further information about the hand-in process is to be announced

  • 5.  The Final

    5.  The Final

    Date: 26 June 2017 
    Time: 16:00-20:00
    Adress: Kuppelsalen, Danske Bank, Laksegade 10, 1063 København K
    The final will be inspired by Dragons Den. The top five teams representing each university will be invited to pitch their solution in front of the jury and an audience. Each finalist group will get 15 minutes to present and about 10 minutes for questioning by the jury.

    The Jury Consists of
    Eva Berneke, CEO of KMD
    Jesper Nielsen, Global Head of Personal Banking, Danske Bank
    Marianne Dahl Steensen, CEO of Microsoft Denmark

Contact & Partners

  • Get In Contact

    You have the following opportunities to contact us
    Write us an e-mail on or join our community (you will get the log-in details after sign-up)

    Furthermore, all participating Universities have contact person(s) that you can contact


    Mark Riis
    Head of innovation, DTU Compute


    Anders Munk-Nielsen
    Postdoc, Department of Economics

    Niels Hansen
    Professor, Institut for Matematiske fag


    Oliver Müller
    Associate professor in Information Management


    Søren Poulsen
    Special Consultant
    Department of Computer Science


    Søren Feodor Nielsen
    Professor, Leder af Center for Statistik, Department of Finance
  • Partners


    KMD is one of Denmark’s biggest IT and software companies.

    Read more >

    Danske Bank is the biggest bank in Denmark. Danske Bank is a Nordic universal bank, and the bank serves all types of customers, from personal customers and businesses to large industrial clients.

    Read more >

    Microsoft is the worldwide leader in software, services, devices and solutions that help people and businesses realize their full potential.

    Read more >

    Furthermore, we are lucky to have the following partners on board:

    Erhvervsstyrelsen >
    Miljø- og Fødevareministeriet >
    Septima >
    Trustpilot >