Marketing data often sits in separate advertising, CRM, analytics, email, and ecommerce systems. That makes reporting slow and comparisons difficult.
We build connectors that bring the required data into a central warehouse on a schedule, creating a more consistent foundation for dashboards and analysis.
What is a data connector?
A connector is a software module or integration that enables the automatic transfer of data between different systems.
Connectors are typically used to collect data from:
- advertising platforms
- CRM systems
- web analytics systems
- e-commerce platforms
- marketing tools
- internal company databases
The data is regularly transferred to a centralised data warehouse, where it can be used for analytics, reporting, and building dashboards.
Tools used
BigQuery
PostgreSQL
Snowflake
Cloud platforms
Google Cloud Platform
Cloud Functions
Cloud Scheduler
BI tools
Looker Studio
Tableau
Power BI
Programming languages
Python
Why businesses need connector development
Connectors can help when your team spends too much time assembling reports or cannot link marketing activity to sales. We automate the data transfer and define how the sources fit together.
The result is a reporting process that is easier to maintain and check.
Connector development stages
Data source analysis
We identify the source systems, required data, update schedule, and API constraints before designing the integration.
Data structure design
We define table structures, relationships between sources, and the rules for processing and storing the data.
Connector development
We build the connection to each source, retrieve the required data, transform it, and load it into the warehouse.
Automated scheduling
We schedule the connectors to run hourly, daily, or at another agreed interval, based on business needs and system limits.
We test data accuracy, schema consistency, transfer reliability, and error handling before launch.
Integration launch and maintenance
After launch, support can include monitoring transfers, adapting to API changes, adding sources, and improving performance.
Need to connect marketing and sales data? Request a free consultation to discuss your sources, reporting needs, and the right integration approach.
FAQ
Connectors can integrate various types of systems, including:
- advertising platforms (Google Ads, Meta Ads, TikTok Ads)
- CRM systems
- web analytics systems
- e-commerce platforms
- email marketing services
- internal company databases
The specific list of integrations depends on the technical capabilities of the systems and the availability of APIs.
The service will be useful if:
- you use multiple advertising platforms
- CRM data is not combined with marketing channels
- reports have to be created manually
- you need end-to-end analytics
- you plan to build a BI dashboard system
Data transfer is usually carried out through the source system’s API. A special script connects to the API, retrieves the required data, processes it, and sends it to a centralised data warehouse.
The process is automated and can run on a schedule, for example, daily or hourly.
The update frequency depends on business needs and the technical limitations of the systems.
Data is most often updated:
- hourly
- daily
- several times a day
The update schedule is configured individually.
Collected data is usually sent to a centralised data warehouse, such as:
- BigQuery
- PostgreSQL
- Snowflake
Yes, this is one of the most common use cases for connectors. Integrating CRM with advertising platforms allows you to combine marketing spend with lead and sales data and build end-to-end analytics.
The development duration depends on the number of data sources, the complexity of the APIs, and the volume of required information.
On average, developing a single connector takes anywhere from a few days to several weeks.
Yes, sometimes systems change their APIs or data formats. In such cases, connectors may need to be updated. Maintenance can also include connecting new data sources or optimising data transfer.
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