Wednesday, March 15, 2017
Friday, December 4, 2015
My main issue is the complete ignorance of history that is shown by people talking up the concepts. They show - often - that they know nothing of the history of work in the area. The most important thing that they miss in doing that is the hard earned lesson that normative approaches to decision making simply don't work unless they are applied collaboratively, with decision makers understanding the models developed. The conceptual frameworks developed for data science and big data at the moment totally ignore human decision making. They assume more data is better for decision making - it's not. Time to take deep breath I think and build a better and reasoned critique of what missing and why it won't work (I'll post here when I've calmed down).
POD (sitting in a "big data" panel session at a major academic conference, fuming)
Just saw a "big data" process model that ignored decision making, and had developing a business case as step 5 of 6. OMG
Posted by Peter O'Donnell at 10:08 AM
Wednesday, October 28, 2015
A reading list relevant to his Mastering SAP BA presentation soon.
Posted by Peter O'Donnell at 12:24 PM
Tuesday, June 23, 2015
If you participate in the study you simply use a browser to access a Web-based system that will take you through the “experiment”. After answering some some simple demographic questions (you remain anonymous), and then you will be shown a series of reports showing some medical test results. You will be asked answer three simple questions about each report. It should take no longer than 5 to 10 minutes to complete the task.
We would greatly appreciate it if you could help us conduct this project either by participating in the study yourself, or letting others who you think would like to participate know about the project. For further information about the study please access the following URL:
Peter and Yasmine
Posted by Peter O'Donnell at 12:13 PM
Monday, October 27, 2014
Posted by Peter O'Donnell at 7:21 AM
Saturday, November 26, 2011
The DSS Lab runs an internship programme for coursework students to get a taste of what it's like to be an active participant in the research group. Jason Lu recently completed a project where he developed a proof of concept iOS interface for a BI reporting tool, something that we hope to be able to use to do research on mobile and touch interfaces for BI. - RobIn recent years, mobile BI has become a frequent topic of discussion among BI vendors and users, especially after the success of the iPhone and iPad since 2008. Smart phones and tablet PCs are performing an essential role in managers' daily lives, however, BI users and vendors face challenges with using and developing mobile BI applications.
One of the issues for the BI software vendors is the need to connect to a server to retrieve data every time the users attempts to generate a report. This creates a problem when using the application without a network connection, such as when flying. One area of further research may be to try an alternative that stores temporary report data locally in the iPad. However, this may present a security issue if the user loses the device.
Some other areas of future research might also include investigating user interface principles for touch such as pre-defined gestures for things like drill down and roll up.
To conclude, this internship experience offered me a great opportunity to study, in depth, some of the advantages and disadvantages of mobile BI applications on multi-touch mobile devices. In my opinion, with the tablet device, users can interact with reports more intuitively, but they face potential security and accessibility issues along with the benefits provided by the portable device.
Thursday, November 3, 2011
I'm running a web based study at the moment. I'm asking people to look at a random series of charts - created using chart styles found typically in current BI systems. Got 5 minutes to help out? Then visit http://vishnu.infotech.monash.edu.au/BIcharts
Posted by Peter O'Donnell at 2:49 PM