BOOM. You’ve made it. Welcome to BOOMBOX by Aginic. A place where we connect you with our people, our stories, our work and our BIG ideas. Check out our range of podcasts, blogs, video interviews, Q&A’s, case studies and more, and learn what it’s like to link arms and tackle big change with the Aginic family. Let’s do it.
This guide will help you leverage automated tools to easily build a data dictionary. After following this guide, you’ll have a clean table of all the fields and measures used in your dashboard - both explicitly and in calculations.
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Analysis paralysis can be a huge factor in the exciting new road of predictive analytics. Where do I even start when it comes to picking the best platform? In this article, we aim to break down the different types of data science platforms and explain what makes them valuable to the different kinds of data scientists in your team.
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When is “a lot of data” becoming “too-much data”, and how can we dig insights from a flood of information? With every company now leveraging platforms and tools to run their workflows, data shortage is not an issue and it is easy to export logs of all the different events, steps and timestamps of a given business process. Once those logs are available, it is time to kick off the Process Mining!
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As data analysts and data scientists, there are many occasions where we would like to run analysis on data available online, on different pages or even websites, but not in a consolidated format easy to ingest in our favourite tool. Here is a quick guide on a selection of three different tools and which one to use based on the circumstances.
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With a 65 year history, Blue Care is one of the largest aged-care providers in Queensland. A team of 8,000 staff provide more than 3 million visits a year to empower older Queenslanders to live life their way. Hear how data driven decision making changed the way they worked, for good.
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Deciding how much time to spend on DevOps is difficult at any stage. Here are a few useful tips on how DevOps can play a role during a project's discovery sprint!
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Treasure hunting for data. The importance of getting all stakeholders together to ascertain whether you "have the data" in the first place.
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