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Reporting Automation

Data and Reporting Automation for B2B Teams

KPI dashboards, scheduled reports and data pipelines for B2B and SaaS teams. ETL automation, BI tool setup (Looker, Metabase, Tableau, Power BI), live integrations.
10hrs
Avg. weekly reporting time saved per manager
Real-time
Dashboard data freshness
100%
Data accuracy vs. manual 78%
3 wks
Typical dashboard delivery
Data Reporting Automation for Executive 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.

Three tiers, transparent ranges
from 3,000
project
  • 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
Get started
from 25,000
project
  • Everything in Growth
  • Custom Python/Node services
  • Deep ERP and CRM integration
  • RPA (UiPath) for desktop processes
  • Dedicated automation engineer
  • Monthly strategy reviews
Get started
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What you get with Global One Digital
Senior engineers and specialists
No juniors learning on your project. Every engagement is led by people who have shipped 30+ similar projects.
Transparent process and reporting
Weekly updates, monthly reviews, clear scope. You always know what is being done and why.
B2B and SaaS focus
We work with growing businesses — not enterprise bureaucracy, not consumer apps. Our process fits your scale.
USA, EU and CIS markets
Time zones overlap with US East and Central Europe. We deliver in English and Russian.
Modern stack, no legacy traps
React, Next.js, Laravel, Node, Python and modern WordPress. No vendor lock-in, no proprietary framework dead-ends.
Long-term partnership, not project flings
Most clients work with us for 2+ years. We document everything, hand off cleanly and stay reachable for what comes next.
Who our automation is for
Operations teams drowning in repetitive work
Founders before hiring number 30
SaaS companies with manual onboarding
Support teams scaling quality
How automation projects ship
1
Discovery call
Free 30-minute scope call. We map the problem, the constraints and the desired outcome.
2
Audit and proposal
Within 2-3 business days we send a one-page scope, timeline and rough cost. No commitment to proceed.
3
Build / implementation
Senior team executes in milestones. Weekly progress updates, async-first communication, code or assets in your repo from day one.
4
Launch and handover
Production release with documentation, training (if needed) and a clean handover to your internal team.
5
Ongoing optimization
Optional retainer covers maintenance, iteration and new features. Most clients stay with us long-term.

Frequently asked questions

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What kinds of processes do you automate?

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.

+
Do we need to switch tools?

Almost never. We integrate the tools you already use (Salesforce, HubSpot, Pipedrive, Slack, Notion, monday.com, ClickUp, etc.) rather than asking you to migrate.

+
What platforms do you build on?

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.

+
How quickly do projects pay back?

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.

+
What about ongoing maintenance?

Critical workflows include monitoring + error handling. Optional retainers cover evolution as your business changes — new tools, new processes, scaling existing automations.

+
Can we own the automations after handover?

Yes. Everything is documented in your platform accounts (your n8n, your Make, your AWS or Google Cloud). You can extend or modify without us.

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