Getting under the hood of Switchboard to unify your data at scale

Even for the most highly-skilled engineering teams, unifying data effectively can be a challenge. Especially when there are petabytes of data coming in daily from different sources, such as media partners, social platforms, affiliate ecommerce, CRM, newsletter subscribers – the list goes on.

From constantly-changing APIs, to the burden of manually querying data every time Sales or Marketing needs a new report, we know it can be hard to keep on top of data that is in a constant state of flux.

And with so many ETL tools out there that claim to be the best at automating data at scale, it can be hard to know where to find the added value your teams actually need.

So for those considering Switchboard as a data partner, it’s important to get under the hood of what we do. Rather than replacing the work of invaluable engineering teams, we’re here to add a layer of automation on top of the data unification process; to make life easier and take care of the gnarly data tasks that, let’s face it, no one really wants (or has time) to do.

To answer the queries we hear from tech teams on a daily basis, we’ve put together a handy FAQ which delves into the mechanics of the Switchboard data platform. For instance, where would Switchboard sit in our current data stack? What kind of datasets and formats can Switchboard handle? How can Switchboard help us fill in the gaps where there is missing or faulty data? Will Switchboard handle the app review when an API changes rapidly?