Flooid Insights Data Platform

Flooid Insights Data Repository:

POS data, available in near-real-time
Query a centralised and managed data repository. The Flooid Insights Data Repository is formed by our big data infrastructure, with streaming pipelines that land data in a centralised cloud repository. Providing retailers scalable storage for vast quantities of data that is indefinitely retained and Flooid managed.

Flooid Insights Data Repository is built for retailers who have already invested in business intelligence dashboarding tools and seek accelerated query responses and the convenience of a managed data source. Leveraging Google’s powerful BigQuery service, providing a secure, scalable and accessible repository while protecting each retailer’s data in a single tenant architecture through a combination of precomputed and near-real-time data processing, delivering optimal querying speed in your existing business intelligence visualisation tool.

The robust SQL, REST, and GraphQL APIs allow end-users to perform a wide variety of analytical queries without needing to build their own data model, ensuring that your team can focus on generating actionable insights rather than managing data.

Flooid Insights Data Connector:

Take data, at volume, to feed your own data lake
The Flooid Insights Data Connector streams all your Flooid data continuously into your existing data lake or third party reporting system, supporting unified reporting across multiple platforms.

Data can be pushed to a variety of destinations, including Google Cloud Pub/Sub and Google Cloud Storage. With a range of connectors available across all Flooid datasets, you can choose exactly what you need to power your analytics environment.

Whether you’re analysing complex data patterns, running predictive models, or generating ad hoc reports, the Insights Data Connector ensures your reporting includes complete, up to date Flooid trade data.

Designed for data science driven environments, it supports retailers confident in working with high volume, unstructured data across all domains.