DAta CEntraliSATION
Centralizing the data from your most important sources into a modern, scalable cloud data warehouse makes reporting faster, metrics more consistent and uncovers insights you only notice once you connect all your siloed data sources together.
SERVICES
Data CENTRALISATION
Rittman Analytics specializes in making data work smarter for you, starting by centralising your reporting data sources in a data warehouse, data lake or data lakehouse built scalable, flexible and modular cloud technology.
Experts in Data Centralisation and Data Engineering
Whether it's streamlining data pipelines with Cloud Dataflow and Pub Sub or implementing sophisticated AI models through Vertex AI, we're committed to unlocking the full potential of your data.
Our goal is to empower your organization with the tools and insights needed to thrive in a data-driven world.
Data centralisation projects delivered by Rittman Analytics enhance your organisation’s decision-making and operational efficiency through the strategic application of technology.
Single Source of Truth
The SaaS applications you use to run your business come with built-in reporting but each is its own silo of information, reporting on their own narrow view of the business rather than your end-to-end operations as a whole.
Centralising your data into a modern, scalable data warehouse such as Google BigQuery makes reporting faster and enables joined-up thinking.
Adding a semantic layer to your warehouse turns that data into a catalog of accessible, understandable business metrics and dimensions.
Modern Analytics Workflow
Our own IP, processes, and delivery method based around dbt Core and dbt Cloud takes the theory of mature BI workflows and the modern data stack and turns it into a standard operating procedure for delivering BI content.
We test every model prior to production, and share dynamically generated documentation with all data stakeholders. Observability is built into transformation workflows and protection policies on branches ensure data moves through governed processes including dev, stage, and prod environments generated by every CI run.
BUILT ON A MODERN DATA STACK
Our analytics solutions are built on a modular modern, modular and scalable data stack based around a cloud data warehouse and loaded using an Extract, Load and Transform (ELT) approach.
We partner with Google Cloud Platform, Snowflake, Segment, dbt Labs, Rudderstack, Fivetran and many other modern data stack vendors, and our suite of standardised data source adapters for popular SaaS and database data sources ensures fast time-to-value for your analytics platform.
RA WAREHOUSE FOR DBT
RA Data Warehouse for dbt is a set of data models, data transformations and design patterns we use when building the data warehouse layer for our client analytics projects.
RA Data Warehouse for dbt is a set of data models, data transformations and design patterns we use when building the data warehouse layer for our client analytics projects.
By pre-building data source modules for popular SaaS applications such as Xero, HubSpot, Salesforce, Google Ads and Stripe , connecting them to a common set of routines for combining, deduplicating and integrating each of their datasets we:
