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.

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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

    CAN YOU PREDICT A COMPANY’S FUTURE?
    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

    4.  Evaluation

    You need to include at least one of the data sources from the platform. The use of multiple data sources from platform or you own external data will be credited. Further, we will give extra points to groups who manage to incorporate both anonymous and public datasets in their submission.

    You have to test your model on a test data set you create. Furthermore, you have to select the right measure for model performance for your model.

    Key words to remember for overall evaluation include:

    Model Performance 
    Performance on test data (ROC, GINI etc.)
    Modelling process and description
    Feature engineering
    Evaluation of parameters from business perspectives

    Value
    How well your model helps solving the business problem
    Argue what value your model can generate

    Impact
    Describe how implementation can create an impact for society, customers and the private sector

    Submission
    Ensure that your selected target/scope, assumptions, process and findings are made obvious

    Pitch
    Explain your approach and findings clearly

  • 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.

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

    Read more on digist.dk & datafordeler.dk

  • 6.  Platform & Tools

    6.  Platform & Tools

    AZURE DATA SCIENCE VIRTUAL MACHINE
    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 >

Prizes

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 analyticschallenge@kmd.dk 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 analyticschallenge@kmd.dk

    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

    The event was conducted 7 March 2017

    Presentation of the kick-off event (pdf)
    The Value of Open Data (pdf)
    Data Presentation (pdf)

    Agenda

    TimeSubjectSpeaker
    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.  Online Training

    3.  Online Training

    We will host two online training sessions, in which you will have the opportunity to ask questions on data and the platform to relevant specialists.
    Schedule for online training sessions

    Deep Dive Day 1
    Content: BBR, ESR, MiniMAKS, CVR, Plan Data, SVUR, Smiley and Registration (Tinglysning)
    Date:  5 April 2017
    Time: 17.00-19.30

    Address: Online via Skype (Skype-link is provided on Slack five days before the session)

    Deep Dive Day 2
    Content: Annual Reports, Attractions, Trust Pilot and Financial and Behavioral Data
    Date: 19 April 2017
    Time: 17.00-19.30
    Address: Online via Skype (Skype-link is provided on Slack five days before the session)

    The online training sessions will provide you with deep dive in data sets and tips & trick. It will be possible to ask questions. You need to send the questions minimum 48 hours before the session through the following channels on Slack: 

    (After signing up for the challenge, you will receive an invitation to Slack in a separate e-mail)

    • #onlinetraining_day1 (questions for data sets presented 5 April 2017)
    • #onlinetraining_day2 (questions for data sets presented 19 April 2017)

    No need for sign up for online trainings.

  • 4. Open Office

    4. Open Office

    You have the opportunity to book an individual team guidance at one of our Open Office Days.

    Day 1
    Date: 9 May 2017
    Time: 10.00-16.00
    Address: Danske Bank, Lersø Park Allé 100, 2100 København Ø

    Day 2
    Date: 10 May 2017
    Time: 10.00-16.00
    Address: Danske Bank, Lersø Park Allé 100, 2100 København Ø

    You will be able to book one of the available time slots on Slack in channel Open Office (after signing up for the challenge, you will receive an invitation to Slack in a separate e-mail). We will post the different time slots in the channel and we want you to comment on which time slot you want. The comment has to contain information of group name, the wished time slot(s) and an e-mail address. You get a confirmation e-mail from us if you are appointed one of your wished time slot. We will do our best to help everybody.

    For participants outside of Copenhagen, it will be possible to book the individual guidance as a private Skype session at one of the time slots.

    Booking of Open Office has to be done no later than 1 May 2017. 

    *Note: First come, first served

  • 5.  Submission

    5.  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

  • 6.  The Final

    6.  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 analyticschallenge@kmd.dk 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

    DTU

    Mark Riis
    Head of innovation, DTU Compute
    mberi@dtu.dk

    KU

    Anders Munk-Nielsen
    Postdoc, Department of Economics
    anders.munk-nielsen@econ.ku.dk

    Niels Hansen
    Professor, Institut for Matematiske fag
    niels.r.hansen@math.ku.dk

    ITU

    Oliver Müller
    Associate professor in Information Management
    olmy@itu.dk

    AU

    Søren Poulsen
    Special Consultant
    Department of Computer Science
    poulsen@cs.au.dk

    CBS

    Søren Feodor Nielsen
    Professor, Leder af Center for Statistik, Department of Finance
    SFN.mes@cbs.dk
  • Partners

    WHO ARE THE ORGANIZERS OF BUSINESS ANALYTICS CHALLENGE 2017?

    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 >

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

    Erhvervsstyrelsen >
    Miljø- og Fødevareministeriet >
    Septima >
    Trustpilot >