We turn raw data into clear reporting systems.
We build automated reporting systems that pull data from APIs, spreadsheets and business platforms, structure it in a central reporting layer, and turn it into dashboards, spreadsheets and usable business insights.
Our work is focused on reducing manual reporting, improving data quality and giving teams a single place to understand performance.
What we do
We help businesses replace manual reporting processes with reliable, scalable systems that are easier to maintain and easier to trust.
API integrations
We connect platforms such as Amazon, Shopify, Mailchimp, advertising platforms and internal systems into a single reporting flow.
Data pipelines
We automate the movement of data from source systems into a clean reporting environment, reducing manual work and improving consistency.
Reporting databases
We structure raw data into a central reporting layer so it can be joined, queried and reused across dashboards, spreadsheets and operational reports.
Dashboards and reporting
We build clear reporting outputs for internal teams and clients, including dashboards, spreadsheet-based reporting and automated summaries.
Example work
Most of our projects involve taking fragmented data from multiple sources and turning it into one reliable reporting system.
Amazon ecommerce reporting
Built automated pipelines for Amazon seller and advertising data, combining operational and campaign reporting into one central reporting flow.
Marketing and attribution reporting
Pulled data from marketing platforms, call tracking systems and internal sources to create unified reporting for agencies and performance teams.
Spreadsheet to automated reporting
Replaced manual spreadsheet workflows with automated pipelines, reusable report templates and cleaner outputs for ongoing reporting.
Platforms we’ve worked with
We avoid overcommitting to one stack and instead choose the simplest reliable setup for each project.
How the data flows
A typical project brings together multiple source systems, structures the data centrally and then feeds clear reporting outputs.
How we work
The goal is always to keep the solution practical: enough structure to be reliable, without overcomplicating the setup.
Understand the data
We review the sources, reporting goals and business logic so the solution reflects how the business actually works.
Build the pipeline
We automate ingestion from APIs, spreadsheets, exports or email-based inputs so data arrives consistently and on schedule.
Structure the reporting layer
We shape the raw data into something usable for reporting, analysis and future extensions.
Deliver the output
We surface the final data in dashboards, spreadsheets or automated reporting workflows that teams can actually use day to day.
Why clients work with us
We specialise in the middle ground between raw data engineering and useful reporting. That usually means solving messy real-world problems such as inconsistent data, multiple sources, manual exports and evolving reporting needs.
We focus on practical systems that reduce manual work, improve reporting confidence and create a better foundation for growth.
Get in touch
If you need help replacing manual reporting, connecting data sources, or building a cleaner reporting system, we’d be happy to hear about your project.
Email: hello@autographicinsight.com
Website: autographicinsight.com