Big Data Analytics and Business Intelligence

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Today’s organizations are swimming in an expanding sea of data coming from a multitude of sources. Tweets, blogs, Facebook postings, online video media, retail transactions and sensor-generated data are just a few of the sources that contemporary organizations use to gain insight and formulate their strategies. The main drivers for companies to adopt big data analytics can be summarized in cost reduction, faster and better decision making, and developing new products and services. With big data analytics moving away from the IT function and into core business, operational and production functions, making sense of data and finding answers to cutting questions is a quest of interdisciplinary nature.

The goal of this village is to work with some of the leading companies in Norway and understand the problems they face when it comes to harnessing the power of big data. Learn about what types of data they are analyzing, the techniques the use to capture, store, and cleanse data, as well as how they are analyzed and used to aid decision making. Maybe you can help find solutions to existing problems by analyzing datasets, or propose alternative means to answer cutting questions.

Relevant Expertise

The village is open to students from all disciplines, and has a strong emphasis on interdisciplinary groups. Students that have good analytical thinking, creative ideas, and want to experience the fusion of technology, decision making and business strategy are particularly well suited for this village.

About Village

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Village Facts

Course Code: TDT4857
Village: Big Data Analytics and Business Intelligence
Type: Semester-based
Language: English
LeaderJohn Krogstie,
Patrick Mikalef

Contact: john.krogstie@ntnu.no
patrick.mikalef@ntnu.no
Semester: Spring 2018

Important information about EiT:

  • The focus on teamwork skills and group processes is the unique feature of Experts in Teamwork (EiT).
  • EiT's teaching methods depend on the contribution and presence of every participant throughout the semester. For this reason, attendance is compulsory on every village day.
  • In contrast to many courses, the first few days are especially important in EiT. During this period, the team members get to know each other and discuss what each individual can contribute. You will also draw up the compulsory cooperation agreement and start preparing a shared research question.
  • For additional information about Experts in Teamwork, see the page for students.