Explorer is the latest module that AT Internet has developed for exploratory analysis. A central pillar of the Analytics Suite, this tool makes iterative performance analysis easy. Mélanie Claisse, product manager, tells us more about Explorer’s approach.
In what way is Explorer a tool for data democratisation?
We’ve placed Explorer at the very heart of our Analytics Suite, as it offers a true starting point for data analysis. Learnings and insights drawn from analysis in Explorer can then be shared via other tools like Dashboards and Reports to give business users fast and simplified access to data that has already been worked on and adapted to their needs. When we designed and developed Explorer, we focused heavily on user experience – we wanted to make it intuitive to navigate through this interface, and make the data easily accessible, understandable and shareable. With this in mind – and to best address our users’ needs – we involved our customers in a co-design programme with the goal of creating a tool that’s completely aligned with what our customers need and expect.
What is iterative analysis? How does Explorer enable users to work in an iterative fashion?
It means giving analysts – whether they are beginners or experts – the ability to gradually access data, by first offering an intelligent analysis recommendation system based on machine learning, and then offering the ability to slice and dice the data as much and however they wish. Our objective here is simple: offer these users a tool which will help them find the value in their data, step by step, and then help them share the data so that the most can be made of it. To that end, Explorer offers tools that let you work with and refine your data indefinitely notably via filters, drill-downs, on-the-fly segmentation, and custom cross-calculations.
How does Explorer help “activate” data?
For several years now, we’ve offered tools that enable data to be democratised within a company, thanks to specific and adapted tools (Dashboards, Reports…) as well as adapted formats: emails, PDF files, monitoring screens, interfaces, etc. With Explorer, we’re going even further by helping analysts to act immediately based on the insights they’ve discovered during their exploratory analysis. Therefore, with just one click, the analyst can access Data Query to extract data via our API, and then activate that data by creating relevant retargeting campaigns, for example.
The analyst can also transform the analysis into a KPI to be directly displayed in a dashboard, thanks to Explorer’s integration in the Analytics Suite. This KPI will allow business users to understand what’s happening, follow the KPI’s evolution, and potentially implement actions as a result.
To learn more about democratising data in your organisation, download our free guide, Democratising Digital Analytics.
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