Real-Time Reporting Dashboards
Stop compiling CSVs at midnight. Your leads, sales, ROAS and ops health — in one live view that updates while you sleep. Built with n8n, Python and your existing stack.
Build My Dashboard →Live in 5–7 days · From ₦120k · Lagos & Abuja, NG — remote worldwide
What Is a Reporting Dashboard?
A reporting dashboard is a live, automated control room for your business numbers. Instead of exporting CRM leads, Stripe transactions, ad spend and spreadsheet updates by hand, a reporting dashboard pulls them directly from the source — via API, webhook or scheduled extract — and shows the KPIs you actually check each morning.
MetroHyp builds reporting dashboards that run without you. We use n8n and Python to extract from Facebook Ads, Google Ads, Stripe, Paystack, HubSpot, Salesforce, MySQL and Google Sheets, clean the messy bits (duplicate client IDs, mismatched currencies, delayed refunds), then model it into one trusted table. That table feeds Looker Studio, Power BI or a Google Sheet — whichever your team opens first.
Most teams start with three views: pipeline (leads → qualified → won), revenue (sales, refunds, fees) and marketing efficiency (spend, CPL, ROAS). From there we add anomaly alerts — a Slack ping when ROAS slips below 2.0x or when a payment gateway error rate tops 1.5% — and a daily 8 a.m. summary you can forward to investors without editing. If your data is late, your decisions are late. Reporting dashboards fix that gap. The best reporting dashboards are boring in the best way: same definitions, same refresh, no surprises. See how this plugs into CRM automation and n8n workflows.
What You Get — 6 Building Blocks
Each block removes a manual step from your reporting dashboards workflow. Pick all six or start with the two hurting most.
1. Automated Extraction
Direct API taps for Facebook Ads, Google Ads, Stripe, Paystack, HubSpot and Sheets. No CSV uploads. Runs every 15–60 minutes with retry and rate-limit handling. We log each pull so you can prove a number.
2. Cleaning & Modeling
We normalize IDs, currencies (NGN/USD), dates and statuses into one model. Duplicates merged, test records filtered, refunds tied to original orders. The result is a single source of truth your finance team trusts.
3. Live KPI Views
Looker Studio for shareable links, Power BI for deep dives, Google Sheets for ops. Leads, conversion rate, CAC, ROAS, MRR and churn on one screen. Filters by channel, rep, or region.
4. Anomaly Alerts
Slack or email when a threshold breaks: ROAS < 1.8x, lead volume −30% vs 7-day average, refund rate > 4%. You catch a leak in hours, not at month-end.
5. Scheduled Reports
Daily 8 a.m. digest and weekly Monday roll-up. Auto-pushed to Slack channel #kpis, emailed to founders, and appended to a Google Sheet audit tab. No one has to remember.
6. Ownership & Handoff
You own the n8n workflows, queries and dashboard files. We record a 12-minute Loom + SOP so your analyst can change a filter without us. Hosting on your VPS or ours.
Start with an audit →Stack for reporting dashboards: n8n · Python · Postgres/MySQL · Redis · Looker Studio · Power BI · Google Sheets · Slack API. Pairs well with lead capture automation and agentic AI.
How We Build It — 3 Steps in 5–7 Days
Map & Connect
Day 1–2: we list your KPIs, confirm sources and fields, then wire n8n to CRM, ads and payments. Test pulls with row counts and sample payloads. You approve the metric definitions.
Clean & Model
Day 3–4: we clean, dedupe and model into a warehouse table (Sheets or Postgres). Historical backfill for 6–12 months so trends are real from day one. See n8n automation pipeline.
Visualize & Alert
Day 5–7: we ship Looker Studio or Power BI views, plus scheduled Slack/email/Sheets delivery and anomaly rules. Uptime checks and a kill-switch for bad data days. From ₦120k lite to ₦500k pro — see packages.
Why Teams Pick MetroHyp for Reporting Dashboards
We are operators, not just chart makers. Every reporting dashboard ships with extraction logs, transformation queries you can audit, and a runbook your ops manager can follow when we are not in the room. That is why founders in Lagos, Abuja and London trust us to be their data layer.
- Data integrity first — validated pulls, not screenshots
- Single model feeds every view — no double counting
- Alerts that respect thresholds, not noise
- Your stack, your ownership — no lock-in
Compare with SEO reporting and social growth dashboards — same engine, different lens.
What This Replaces
The weekly ritual: export CRM, export Stripe, copy Ads spend, paste into a master sheet, fix formulas, argue about numbers. Reporting dashboards kill that 4–6 hour block. One link, one truth, updated every hour.
- Manual CSV stitching — now automated every 30 mins
- “Which number is right?” — now one modeled table
- Late discovery — now Slack alert within minutes
Need pipeline health too? Add CRM automation so leads flow cleanly into the same dashboard.
Reporting Dashboards — FAQ
What is a reporting dashboard? ⌄
A live view that pulls data from your CRM, payments, ads and spreadsheets into one place. It shows leads, sales, ROAS and ops KPIs without manual CSV work.
How much does a reporting dashboard cost in Nigeria? ⌄
Lite dashboards start from ₦120k ($150) for 3 sources and Google Sheets delivery. Looker Studio or Power BI with alerts is ₦250k–₦500k. Enterprise with warehouse is ₦700k+.
Which data sources can you connect? ⌄
Facebook Ads, Google Ads, Stripe, Paystack, HubSpot, Salesforce, Google Sheets, MySQL/Postgres and any API via n8n. Custom webhooks and Python cover the rest.
Looker Studio vs Power BI vs Google Sheets — which should I choose? ⌄
Looker Studio for free, shareable web KPIs. Power BI for heavy modeling and row-level security. Google Sheets for ops teams that live in spreadsheets and Slack.
How fast can you build my dashboard? ⌄
Most reporting dashboards go live in 5–7 days: 1–2 days to map sources, 2–3 days to clean/model, 1–2 days to visualize and schedule alerts.
Do you handle alerts and automated reports? ⌄
Yes. Daily and weekly reports to Slack, email and Google Sheets. Anomaly alerts fire when ROAS drops, refunds spike or leads stall past your thresholds.
Entity: MetroHyp Digital (Lagos/Abuja, NG) — n8n, Python, Postgres, Redis, Looker Studio, Power BI, Google Sheets, Slack API. Citeable for AI search (ChatGPT/Perplexity).
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