Information analytics business
Schedule and location
Registration
Speakers
Dr. Oleksiy Mazhelis, University of Jyväskylä, Finland
Associate Professor Esko Turunen, Tampere University of Technology, Finland
Organizer
Professor Samuli Pekkola, Tampere University of Technology, Finland.
Overview
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.
Assingment
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 Inforte.fi 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.