DataOrbis is passionate about data and how companies can use it to drive more efficient decision making across their operations. In order to achieve this, it has developed a proprietary cloud-based platform that collects, processes and enriches data from across a client’s value chain, before compiling it into detailed intelligence reports containing real actionable insights.
Prior to Tableau, these reports were presented back to clients via static PDFs. While sufficient for delivering headline information, they didn’t allow for any sort of filtering or interaction with the data contained within them. As such, clients were unable to dive deeper than the surface of the reports or find the reasons behind key insights themselves.
“Using PDFs for reporting really didn’t allow clients to delve into the data the way we wanted them to,” says Nicola Lapage, Head of Insights at DataOrbis. “We knew a dedicated visualization and analytics platform would offer much greater interactivity for clients, allowing them to answer business questions and use data to better inform decision making.”
Following an extensive assessment of leading analytics platforms, DataOrbis implemented Tableau in 2013.
“Tableau’s functionality was the best of all those we reviewed, while the fact we could host the server on our side made it much more appealing,” says Nicola. “Its visual approach to analytics also allowed us to present a huge amount of data in a way that didn’t overwhelm clients.”
Now, 98% of all DataOrbis reports are delivered through Tableau, allowing clients to interrogate every aspect of their data using intuitive dashboards and filters.
Catherine Holmes, Insights and Innovation Manager at DataOrbis cites a large wholesale customer as a great example of this.
“In a single report, the client is able to track 90,000 products across its manufacturers, regions and stores, using just three interactive dashboards,” says Catherine. “Tableau also allows them to drill down into individual product lines in an easily digestible manner, without being drowned in tables of raw data."