Data and Reporting Automation for B2B Teams
Data Reporting Automation from Global One Digital builds KPI dashboards, scheduled reports, ETL pipelines and BI integrations for B2B and SaaS executive teams. We replace the spreadsheet-and-email reporting cycle that drains analysts every Monday with reliable automated reports your leadership actually opens. Stack agnostic: Looker, Metabase, Tableau, Power BI, Sigma, Lightdash — picked for your team and budget rather than ours.
What we automate in reporting
Data ingestion from your operational sources: CRM, billing, product analytics, ad platforms, support helpdesks, ERP. Transformation into a clean reporting layer (dbt or custom SQL where simpler). Live KPI dashboards by team and business function — marketing, sales, product, finance, support. Scheduled reports delivered to Slack, email or shared drives on the cadence your team needs. Anomaly alerts when key metrics shift outside expected ranges.
Why reporting automation pays back fast
An analyst spending one full day per week pulling weekly reports costs around fifteen thousand dollars per year in pure time. Add the consequences of late reports (missed signals, slow decisions, recurring data discrepancies between teams) and the real cost is much higher. A focused reporting automation engagement typically pays back in two to four months and frees analysts for actual analytical work.
Stack and tooling
For ETL: Airbyte, Fivetran, custom Python pipelines on Airflow or Prefect. For warehousing: BigQuery, Snowflake, Postgres or your existing data warehouse. For modeling: dbt for everything that needs version control and testing. For visualisation: pick from Looker, Metabase, Tableau, Power BI, Sigma — based on user count, budget and consumption patterns. For alerting: native dashboard alerts, Slack integration, custom PagerDuty triggers for critical metrics.
Where typical reporting projects struggle
Most reporting projects fail because they ship a fancy dashboard nobody opens. Real reporting work starts with what decisions your leadership actually makes weekly and monthly, designs reports that directly support those decisions, and ships them on the channels and cadence your team already uses. We co-design reports with your executives, iterate after first deployment, and prune anything nobody opens after sixty days.
Realistic timelines
Single-team reporting setup (marketing or sales): four to six weeks. Multi-team reporting program with shared semantic layer and consistent definitions: ten to fourteen weeks. Enterprise-wide reporting consolidation with data governance: fourteen weeks or more.
Who this is designed for
SaaS companies past Series A where leadership needs consistent metrics across teams. B2B operators tired of inconsistent numbers between sales, marketing and finance reporting. Mid-market companies still running on spreadsheet exports and Monday morning manual report assembly. Founders who want a reporting layer ready before they hire a full data team.
- Process discovery and mapping
- Up to 3 integrations (CRM/ERP/etc)
- Built on n8n, Make or Zapier
- Basic monitoring and alerts
- 1 month post-launch tuning
- Everything in Starter
- Up to 8 integrated workflows
- Custom code where no-code falls short
- AI components (OpenAI/Anthropic) where useful
- Monitoring + error handling
- Optional ongoing retainer
- Everything in Growth
- Custom Python/Node services
- Deep ERP and CRM integration
- RPA (UiPath) for desktop processes
- Dedicated automation engineer
- Monthly strategy reviews
Frequently asked questions
Sales handovers, CRM data entry, invoice processing, financial reporting, customer onboarding, support ticket triage, internal approvals, document generation. If a person spends 5+ hours per week on it, it is probably automatable.
Almost never. We integrate the tools you already use (Salesforce, HubSpot, Pipedrive, Slack, Notion, monday.com, ClickUp, etc.) rather than asking you to migrate.
n8n and Make for low-code workflows, Zapier for fast prototypes, UiPath for desktop RPA, custom Python or Node when no off-the-shelf tool fits. AI components run on OpenAI or Anthropic.
Quick wins (1-3 process automations) usually pay back in 2-4 months. Larger programs return 3-5x in the first year through saved labour and faster cycle times.
Critical workflows include monitoring + error handling. Optional retainers cover evolution as your business changes — new tools, new processes, scaling existing automations.
Yes. Everything is documented in your platform accounts (your n8n, your Make, your AWS or Google Cloud). You can extend or modify without us.
