Information analytics business

Schedule and location

Monday December 7th - Tuesday December 8th 
Tampere University of Technology, Festia-building, Room FC 112 


Registration is open  26th October - 30th November.


Dr. Craig Fleisher, Aurora WDC, USA

Dr. Oleksiy Mazhelis, University of Jyväskylä, Finland
Associate Professor Esko Turunen, Tampere University of Technology, Finland


Professor Samuli Pekkola, Tampere University of Technology, Finland.



Information analytics business seminar dives into the details of how to make business with information analytics. In particular, how organizations may benefit from different data sources is in focus. The program consists of presentations from business, technology, and analytics perspectives.

Detailed Program

Day 1 (Dec 7)

9.00-10.30 Craig Fleisher & Oleksiy Mazhelis: Introduction to information analytics

10.45-12.15 Craig Fleisher: Externally focused analytics (competitor, customer, environmental, market)

12.15-13.00 LUNCH

13.00-14.30 Craig Fleisher: Evolving analytics processes: The move toward Analysis 3.0

14.45-16.15 Oleksiy Mazhelis: Role of analytics: from descriptive to predictive and prescriptive, the impact of big data on the methods used.


Day 2 (Dec 8)

9.00-10.30 Oleksiy Mazhelis: Architecture, change from traditional with ETL, DW/DM, OLAP to big data-oriented with NoSql, schema-at-read, map-reduce

10.45-12.15 Craig Fleisher: Analytic fitness: Organization-wide program for enhancing analytics competence

12.15-13.00 LUNCH

13.00-14.30 Esko Turunen: From data to useful information. The possibilities offered by data mining; exemplified by the GUHA-method

14.45-16.15 Craig Fleisher: Key considerations in applying analytics for developing competitive and market insights in science and technology enterprises and market spaces  

Credit points

Doctoral students participating in the seminar can obtain 2  credit points. This requires participating on all of the days and completing the assignment.


Write a business case how a chosen organization (your own firm, your university/department, etc) could utilize information analytics in their business. Address following issues: the need and objectives, target state description (i.e. how the analytics is used there; where to get the data, what to do with it, what technologies are needed, how to utilize the data, who utilizes results), and a plan how to reach the target state.   Length approximately 2 pages. Use the lecture material and literature. 

Registration fee

This seminar is free-of-charge for member organization's staff and their PhD students. For others the participation fee is 750 €. The participation fee includes access to the event and the event materials. Lunch and dinner are not included.