BIG DATA Nettavisen: towards a data-driven business model - Student ID | INF20016 Big Data Management
Cover sheet for submission of work for assessment SWIN BUR * NE * SWINBURNE UNIVERSITY OF TECHNOLOGY UNIT DETAILS Unit name Big Data Management Class day/time Office use only Unit code INF20016 Assignment no. 1 Due date Name of lecturer/teacher Adi Prananto Tutor/marker's name Vivien Li Faculty or school date stamp STUDENT(S) Family Name(s) Given Name(s) Student ID Number(s) (1) (2) (3) DECLARATION AND STATEMENT OF AUTHORSHIP 1. I/we have not impersonated, or allowed myself/ourselves to be impersonated by any person for the purposes of this assessment. 2. This assessment is my/our original work and no part of it has been copied from any other source except where due acknowledgement is made. 3. No part of this assessment has been written for me/us by any other person except where such collaboration has been authorised by the lecturer/teacher concerned. 4. I/we have not previously submitted this work for this or any other course/unit. 5. I/we give permission for my/our assessment response to be reproduced, communicated, compared and archived for plagiarism detection, benchmarking or educational purposes. I/we understand that: 6. Plagiarism is the presentation of the work, idea or creation of another person as though it is your own. It is a form of cheating and is a very serious academic offence that may lead to exclusion from the University. Plagiarised material can be drawn from, and presented in, written, graphic and visual form, including electronic data and oral presentations. Plagiarism occurs when the origin of the material used is not appropriately cited. Student signature/s I/we declare that I/we have read and understood the declaration and statement of authorship. X (1) (4) (2) (5) (3) (6) Further information relating to the penalties for plagiarism, which range from a formal caution to expulsion from the University is contained on the Current Students website at www.swin.edu.au/student/ Copies of this form can be downloaded from the Student Forms web page at www.swinburne.edu.au/studentforms/ PAGE 1 OF 1 | INF20016 BIG DATA MANAGEMENT | PAGE 1
Executive Summary This report evaluates Nettavisen's endeavour to implement a data-driven business model incorporating Big Data (BDDBM) to provide business value within the context of the online media industry. It highlights the company's requirement to set strategic direction for their data application, allowing for compliant collection and use of data. It discusses the competitive pressures facing the company considering the incumbent media brands market presence and the strategies of vastly-resourced global data-driven players such as Google and Facebook to gain Nettavisen's direct audience. It makes recommendations for leveraging the data sets into new revenue streams and products. The ethical, governance, privacy, security, expense and business impacts and challenges faced are discussed, including recommendations. | INF20016 BIG DATA MANAGEMENT | PAGE 2