ITx 2018 Speakers

Keynotes and Speakers for ITx 2018

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Frina Albertyn

Principal Lecturer, Ara Institute of Canterbury

Dr. Frina Albertyn is currently working as a Principal Lecturer at Ara Institute of Canterbury on the Timaru Campus.

She was the Head of School Business at Eastern Institute of Technology (EIT) in Napier previously where she worked for 16 years. She received her PhD in Information Technology from Massey University in 2010. Frina has published over 40 papers on mostly E-Commerce System Development, System Analysis and Data Analytics.

Frina started her working life as a programmer and system analyst at Siemens and Iscor.

Expanding Business Intelligence using Internet data

Thursday 11:20am - 11:50am, CITRENZ Conference (CITRENZ 2 Room)

This paper focuses on the identification of readily available data sources on the Internet, to augment the in-house business intelligence systems of a tertiary institute.

Organisations are moving into a new environment of data-driven decision making, also known as business intelligence systems.

This paper investigates the results of an analysis and evaluation of datasets available on the internet for utilisation by the Tertiary Institute’s databases and information. It provides metadata of the publically accessible websites in several categories to provide supporting information to the Intitute’s environment.

This project provides input into the decisions around accessing external data to further augment these data sources into the existing in-house data. The methods of analysis to evaluate the data derived from the internet consist of judgement sampling and a one-dimensional analysis approach.

The data analysed show that there is a large amount of data that can be used. The rating of the websites shows the usefulness of the data sets to Institute. The paper then concludes showing that the findings supports and enhance the data driven decision support system and therefore is a great tool for management decision making.

This paper identifies foreseeable problems and predicaments to make the data more useful for future use in the tertiary environment.