Iteratively

A data collection and governance tool that enables data teams to capture clean, consistent customer data they can trust.

CDIEvent TrackingData Governance

What need does Iteratively fulfill?

Iteratively enables teams to define, track, and validate their analytics tracking to address a problem that is far too common — a lack of trust in available data.

Product and growth teams can use Iteratively’s UI to collaborate on their tracking plan and ensure that everybody knows exactly what customer data is collected, what it looks like, and where it comes from. Data teams can then instrument analytics using code generated based on the tracking plan as well as automate quality assurance.

The data collected via Iteratively can be synced to Segment and a handful of third-party tools. Iteratively has been acquired by Amplitude.

What are the benefits of using Iteratively?

    Everybody can see what data is collected and can contribute to the tracking plan
    Enforced taxonomy results in accurate data collection which builds trust in the data
    Engineers are able to easily instrument what is expected without back and forth

What are the core features of Iteratively?

    A visual interface to create tracking plans
    Developer tools that ensure accurate data collection
    Automated QA and privacy controls

Which teams does Iteratively cater to?

Data
Operations
Data Engineering
Growth
Product
Analytics

Authored By

Arpit Choudhary's profile on astorik

Arpit Choudhury

Founder, Astorik