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Business

Keynote Presentation

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Sigrid Wilbeck
Head of Section
Danish Business Authority (Erhvervsstyrelsen)

Big Data as a Growth Factor in Danish Business (in Danish)

Much has been said about the potential of Big Data, however, what impact does it have on the Danish businesses? A year ago The Danish Business Authority decided to analyze the impact of Big Data in Danish businesses, and the results from a survey conducted by the IRIS Group was published in the report "Big data as a growth factor in the Danish business". The report gives a picture of which types of companies, that are the primary users of Big Data in Denmark, and highlights the various kind of barriers the companies face when dealing with big data.

Sigrid Wilbeck works in the field of big data and has worked for  the national growth team, referred to as “Digital Growth and ICT” and subsequently worked on a plan for growth in this area, to be published this Fall 2014. Currently Sigrid Wilbeck is developing the use of a new public data base, the Virk Data - a data base run by The Danish Business Authority which serve Danish companies who will start using public data in their businesses.

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Case Presentations

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Development of Service Logistics based on Position and Task Data from Super Hospitals

Flemming Bent Thomsen & Mikkel Harbo, Systematic Engineering A/S; Kaj Grønbæk, AU

A system for optimizing indoor route and task planning for service work has been developed based on research in positioning and analysis of sensor data gathered from smartphones. For instance, changes to the work environment and procedures are recognized automatically via data mining of the collected phone data. Thus detected events like emergencies, elevators out of function, and corridors closed for painting, are automatically used for logistics to make better route and task planning for service personnel. The case gives examples of the huge potential such methods and systems has for reducing waiting times for patients and personnel, and in general for optimizing logistic services at hospitals.

          

 

Waste Transportation Logistics

Inge Werther, DAKOFA; Sanne Wøhlk, CORAL, AU

Waste recycling and recycling costs are of vital importance for both society and environment. To be able to estimate the cost of a waste system, a major component lies in the estimation of the mileage needed for the waste collection and transportation vehicles. The case present a quantitative research approach based on Operations Research to find near optimal solutions to these large transportation problems and use these to evaluate the relative cost of the systems.

 
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Increasing Customer Profitability Through Predictive Modelling of Likely Consumer Purchasing Patterns

Christian S. Maltesen, COOP Danmark A/S; Morten H. J. Fenger, AU

People are different but standard marketing is “one –size-fits-all. If the retailers can tailor fewer interesting offerings to the individual consumer based on predictive modelling on what other similar consumers have purchased, then the consumer may be more attentive to the individual offerings received from the retailer. The case presents a model that identifies the latent consumer segments in terms of the sequence in which the product portfolio typically is expanded and provides information about products the consumer likely includes in her basket. Results from analysis of data from 10,000 households and their purchases over 20 months are presented.

                           

 

Using Secure Multiparty Computation to Facilitate Secure Auctions and Confidential Benchmarking 

Kurt Nielsen, Partisia ApS; Jakob Pagter, Alexandra Institute; Ivan Damgård, CFEM, AU

Secure Distributed Computing (or Multiparty Computation (MPC)) has enabled secure handling of large nation-wide auctions. Confidentiality in auctions is crucial, and a system that handles bids has to be trustworthy. Collaboration between researchers from AU and industry has led to the design of a system that deliver the required security guarantees without having a single point of failure. The technology as well as the first industrial applications of it will be presented.