Hasso-Plattner-Institut
  
Hasso-Plattner-Institut
Prof. Dr. h.c. Hasso Plattner
  
 

Ralf Teusner, M.Sc.

Research Assistant, PhD Student

Ralf Teusner
  Phone: +49 (0)331 5509 - 1301
  Fax: +49 (0)331 97992 - 579
  Skype: Mein Status
  Email: ralf.teusner(at)hpi.de
  Room: Hasso-Plattner-Villa, V2.01
  Xing: Profile

Research Topics

  • Social Coding
  • In-Memory Databases
  • Domain Specific Languages
  • Stored Procedures
  • Schema Migrations

Teaching Activities

Term TypeTitle
Winter '14 Lecture Softwaretechnik II
Winter '14 Online Lecture "In-Memory Data Management" on openHPI
Summer '14 Lecture Trends and Concepts in the Software Industry I
Winter '13 Lecture Softwaretechnik II
Winter '13 Online Lecture "In-Memory Data Management" on openHPI
Summer '13 Lecture Trends and Concepts in the Software Industry I
Summer '13 Seminar Seminar - Enterprise Applications: Business Processes and Programming Model
Winter '12 Lecture Softwaretechnik II
Winter '12 Online Lecture "In-Memory Data Management" on openHPI
Summer '12 Seminar Trends and Concepts in the Software Industry I
Summer '12 Seminar Object-oriented Enterprise Application Programming Model for In-Memory Databases
Summer '12 Lecture Trends and Concepts in the Software Industry II - In-Memory Databases for Business Applications

Publications

Where is the Money Made? An Interactive Visualization of Profitable Areas in New York City

Keven Richly,Ralf Teusner
The 2nd EAI International Conference on IoT in Urban Space (Urb-IoT), 2016

Abstract:

Detailed information about the flow of potential customers in a city is extremely relevant for strategic decisions of various service providers such as taxi companies or advertising agencies. The knowledge about highly frequented regions as well as peak times in specific areas provides a crucial business advantage to competitors. Today, business relevant decisions about the positioning of service providers and advertising spaces or the balancing of capacity are primarily based on experience only. In this paper, we present a novel approach to gain knowledge about the distribution of potential customers over time and space based on the data of taxi rides, which have been recorded for documentation purposes. By leveraging the performance of in-memory databases, we build an applica- tion, which allows the user to analyze about 700 million taxi rides in real-time. The application allows companies to get an impression in which areas and in what timeframes they can reach a large audience of potential customers. Additionally, we demonstrate that the developed visualization concept enables the comparison of different regions and allows to analyze trends in the customer flow over time.

BibTeX file

@conference{richly2016where,
author = { Keven Richly,Ralf Teusner },
title = { Where is the Money Made? An Interactive Visualization of Profitable Areas in New York City },
year = { 2016 },
month = { 0 },
abstract = { Detailed information about the flow of potential customers in a city is extremely relevant for strategic decisions of various service providers such as taxi companies or advertising agencies. The knowledge about highly frequented regions as well as peak times in specific areas provides a crucial business advantage to competitors. Today, business relevant decisions about the positioning of service providers and advertising spaces or the balancing of capacity are primarily based on experience only. In this paper, we present a novel approach to gain knowledge about the distribution of potential customers over time and space based on the data of taxi rides, which have been recorded for documentation purposes. By leveraging the performance of in-memory databases, we build an applica- tion, which allows the user to analyze about 700 million taxi rides in real-time. The application allows companies to get an impression in which areas and in what timeframes they can reach a large audience of potential customers. Additionally, we demonstrate that the developed visualization concept enables the comparison of different regions and allows to analyze trends in the customer flow over time. },
booktitle = { The 2nd EAI International Conference on IoT in Urban Space (Urb-IoT) },
priority = { 0 }
}

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last change: Mon, 11 Jul 2016 16:24:36 +0200