We’ve super-charged our data ingestion to get 20x the data ingestion speeds of previous performance. We’ve also introduced new ingestion flows to both batch and streaming ingestion further improving throughput and automatic file ingestion.
More customer-friendly terminology incorporated in an expanded DSL language.
Automated schematics normalises a variety of number types into a consistent format before ingesting the data against that user ID by parsing phone numbers as CSV column types.
User support for specifying minimum string length requirements on data in CSV columns. Users can now specify Minimum Length on string CSV columns in addition to existing maximum length string controls allowing users to set either/both limits on string length.
Greater granularity of platform performance monitoring & analytics with the introduction of Grafana.
Real-time pipeline status notifications now available within the Platform Console.
Privacy and security of your customers Personal Data is a guiding principle at Intent HQ. We put this at the heart of everything we do.
Data Controls, our hero feature release in quarter one, enhances corporate and legislative policy compliance while protecting your staff from any impact a wrong data decision could expose your organization and themselves to.
Q2, 2020 at Intent HQ has seen the teams successfully adapt to remote working as a result of the pandemic lockdown. Our product and development teams in London and Barcelona have overcome such exceptional circumstances, and we’re ready to shout about a host of new important releases.
Sometimes, the big stuff takes longer to deliver. So over the last few quarters, we’ve been busy behind the scenes working on some major releases. In Q4, 2021, we released the first of these.
Q4 2019 has seen the introduction of new key functionality in the Intent HQ platform, enabling new ways of triggering data processing and the creation of customer profiles. For the first time, Intent HQ’s platform can execute scripts of python, as well as enable running pipelines exclusively for subsets (samples) of the entire dataset.