Project Description

“Being able to visualize the results will make a huge difference to how management sees the information and analysis that we’re providing.”– James Hiller, Internal Audit Manager, Australia Post

Attendees of the recent ACL Connections conference in Dallas, TX had a sneak peek at ACL Analytics 11. See what Impact Award winners, James and Blair from Australia Post had to say about the impressive data visualization capabilities and the exciting new ScriptHub!


James Hillier: I’m extremely excited about Analytics 11. Being able to visualize all the results within the tool will make a huge difference to how management sees the information that we’re providing and the analysis that we’re providing.

Blair Richards: And information’s about communication. You can do the best analysis in the world but if you’re handing over tables and tables of data no one can do anything with it. So if you can put it in a picture, a picture tells a thousand words. That’s why data visualization’s important.

And Senior Managers just don’t have time to read the data. Put it in a picture. Tell a story. Create a story about why this is such a good analysis. What does it mean to you? What does it mean to me? How can it make an impact to the business? So the fact they’ve moved on to I think a really good-looking visualization tool, that’s fantastic.

James Hillier: I think the feature that I’m most excited about is the script hub and having access to all those scripts that have been developed by ACL at the click of a button.

Blair Richards: I’ve now got a great tool with ACL Analytics. If I could then say as part of a community of people using it, ‘Here are all the key systems that we have. Here’s the dummy’s guide how to pull the data off. And by the way, here’s the script. So once you pull the data off in this format here’s the script that’ll actually put it and do all the tests for you.’

They’ve actually taken all the time it takes to process and moved it down to a very small amount of time. In the past analysts would spend at least 80% of their time analyzing and only 20% actually strategizing and then trying to come up with an insight. Imagine if you move that to 20% of data preparation and 80% strategic insight. How much more can you pay for that?

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