"While there are potentially better solutions in terms of capability and visualisation, for the price point and the problem we wanted to solve, it was really the only choice," Miles added.
Despite the use of the Einstein brand, Einstein Analytics alone isn't particularly 'smart'. The machine learning powered functionality is branded as Einstein Discovery, which promises to surface insights and make predictions and recommendations using historic data, automatically within the platform. This is an add on for Einstein Analytics and is charged on a bespoke basis.
Miles admits that Shazam isn't using the predictive capabilities of the platform yet, and wishes that some of the more predictive capabilities were bundled into the core platform.
"From a selfish point of view it would be nice to see some of the AI capabilities being bundled in off-the-shelf, but I understand lots of that is yet another add on," he said. "Optimum times to reach out and probability of close are interesting features, whether we will start using any of those we aren't really sure yet."
Instead, Shazam has been happy to be able to access data on-demand, rather than waiting for analysts to send out weekly reports. The end users are still analytics specialists, but now they can focus on bespoke reporting while sales leadership can self-serve weekly reports and check in on their pipeline on-demand.
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