Reporting changes require engineering time.
Every new metric or dimension needs SQL work, so requests stack up and insights arrive late.
Analysts can’t get to the insight they need.
Business users depend on data engineers for data model changes. Tickets, briefing documents, details lost in translation. Your analysts know what’s needed, but they are unable to deliver their vision.
Your data is spread across multiple warehouses
You’ve got sales data in BigQuery, marketing data in Snowflake, and legacy systems, but no unified view.
Inflexible BI tools
Your dashboards are locked to rigid schemas – when the business changes, reporting can’t keep up.
Engineering bandwidth
Your data engineering team spends time delivering reporting changes & wrestling with APIs to try to deliver what the Analytics need – instead of strategic projects.
Slow time-to-insight
By the time you get the reporting you asked for, the chance to take action has passed and the business has moved on.
Underutilised data investment
You’re paying for warehouse infrastructure and data pipeline tools, but probably only scratching the surface of what all that data could be used for.
Bright Analytics’ semantic layer, designed for Analysts.
Analysts know your business and its needs best. Our semantic layer lets them define the metrics, dimensions, and business logic they – without any dependence on engineering teams or SQL knowledge. Changes happen in minutes, not sprints. Iteration and customisation is simple.
Connect to any cloud provider and database technology
AWS, GCP, Azure, Snowflake, Redshift, RDS, BigQuery, Azure SQL – connect directly to your existing data. No need to mover or migrate any data.
Analyse all your data in a single data model
Our Semantic Layer can connect to data across multiple locations and databases technology. Sales in BigQuery & marketing data in AWS – not a problem. Our semantic layer harmonises all your data into a central data model. No more exporting or merging data sets.
Dashboards & Reporting ready to go
Our dashboard and reporting module connects directly to your data model. Changes are reflected instantly so your teams can all access the reporting they need, in an intuitive yet powerful interface, all connected to a central, governed data model that’s managed by your Analytsts.
Live in weeks
Connect to your warehouse, define your model, start reporting — no six-month implementation.
Analysts empowered
Business users build what they need without waiting for engineering.
No migration required
Your data stays where it is. We just make it more useful.
Future-proof flexibility
When the business changes, your data model adapts instantly.
Our semantic layer and reporting modules combine to bring the data you already have in your data warehouse(s) to life in no time.
Bright Analytics connects to BigQuery, Snowflake, Redshift, Azure SQL, and AWS RDS. If your data’s in a warehouse, we can probably connect to it.
Once you’ve provisioned access, we can have your semantic layer configured and first reports running within hours. Most deployments are fully live and reporting fully migrated within 2 – 4 weeks.
Bright Analytics has a fully-featured reporting and visualisation module. Unlimited reports, unlimited dashboards and all the user roles, permissions and group structures you need to get your team setup, where they’re building out your data model or building and creating reports and dashboards.
No. Your data stays exactly where it is. We connect directly to your existing warehouse — no migration, no duplication, no new infrastructure to manage.
The Bright Analytics semantic layer can connect to multiple data sources simultaneously. You get a unified reporting view without having to consolidate everything into one warehouse or cloud platform.
See how Bright Analytics can add a flexible reporting layer to your existing warehouse, with reports running on day one and your reporting transformed within weeks.