Your data analyst and your own dashboard
I’m a data analyst. I pull data from every system you use and build you your own dashboard, so decisions take minutes, not days.
Scroll — watch the dashboard come together01Today
Sales live in the CRM, ads in three ad accounts, margin in the accountant’s spreadsheet. Answering a simple question means someone loses an hour stitching spreadsheets together.
ExplainedRevenue has grown four weeks in a row, driven mostly by repeat customers.
02What you actually need
I bring every source into one place and keep only what drives decisions. The details are one click away.
ExplainedRevenue has grown four weeks in a row, driven mostly by repeat customers.
03The fix
Every metric comes with a short, plain-English note: what it means, why it moved, what to keep an eye on. No analyst on call needed.
ExplainedRevenue has grown four weeks in a row, driven mostly by repeat customers.
04AI agent
The built-in AI agent knows your metrics and replies in seconds — specific figures, not vague advice.
ExplainedRevenue has grown four weeks in a row, driven mostly by repeat customers.
05Telegram reports
A short digest every morning or every week. Anomalies are flagged the day they happen, not at month-end.
ExplainedRevenue has grown four weeks in a row, driven mostly by repeat customers.
06Design
From understated classic to a trader-style terminal, in light and dark. Tap any of them to try it on.
ExplainedRevenue has grown four weeks in a row, driven mostly by repeat customers.
07How I work
Audit and tracking first, then pipelines and a data model — only then the dashboard and automated reports. After that, I support and refine it.
ExplainedRevenue has grown four weeks in a row, driven mostly by repeat customers.
08Get started
Open the live demo with sample data for your industry, or message me — I’ll show you how it would look for your business.
ExplainedRevenue has grown four weeks in a row, driven mostly by repeat customers.
ExplainedRevenue has grown four weeks in a row, driven mostly by repeat customers.
Product
A ready-made analytics workspace I configure around your data: KPIs with explanations, charts, sortable tables, an AI assistant and Telegram reports.
Headline KPIs compared with the previous period, plus trends.
Sales, plan vs actual and 20+ chart types: cohorts, heatmaps, treemaps, waterfalls, maps.
GA4: channels, pages, devices, a geo map, CTA clicks, site search and form funnels.
Campaigns, funnel and attribution (AppsFlyer / OneLink), creatives and site click-throughs.
Answers questions about your metrics and explains changes in plain language.
Regular digests in Telegram: daily, weekly or on your own schedule.
Admin and viewer roles, with page-level access for each user.
CSV for every table with your filters applied, plus PDF and image export of pages and charts.
Designs
Main examples use the Classic design. Try the rest in the demo or on the product page — or get a unique style built around your product and brand.
Data sources
These aren’t one-click connectors — this is the service: I set up the extraction pipelines (ETL), refresh schedules and data checks. Every source is connected individually for your project.
Per project
Security & access
The public demo is open to everyone. On your project I enable what you need: from password + TOTP to Cloudflare Zero Trust or a VPN.
Workspace accounts, JWT sessions, HttpOnly cookies.
Mandatory Google Authenticator or a backup code.
OAuth for teams on Workspace or Microsoft 365.
One-time email link, no password.
SAML / OIDC: Okta, Azure AD, Keycloak.
Zero Trust: One-time PIN, SSO or device posture.
Only from the office network or via corporate VPN.
Admin / viewer, per-page access, sign-in and action log.
Admin / viewer roles and page-level access ship with every option.
How I work
A beautiful chart built on bad data does more harm than no chart at all. So first come goals, tracking and reliable pipelines — the dashboard is just the visible part.
We look at the decisions you make, build a KPI tree and check what data you already have.
I set up or fix data collection: GA4 events, UTM tagging, AppsFlyer, conversions.
I extract data from your sources (ETL) into BigQuery or PostgreSQL on a schedule, with completeness checks.
I clean duplicates, join sources and lock metric definitions — one source of truth for everyone.
I build the workspace: KPIs with notes, charts, tables, access roles, your design.
Scheduled Telegram digests and anomaly alerts.
I keep an eye on data quality, add metrics and help you draw conclusions.
What you get at each stage and typical timelines.
More on the processComparison
Honestly: BI tools are great if you have an analyst who builds reports. Your own workspace wins when the people using the dashboard are owners and teams, not analysts.
You pay for the work and hosting; viewer count does not change the price.
Pro / Premium Per User — a licence for everyone who views reports.
Free to view; only third-party connectors cost money.
Creator / Explorer / Viewer — a paid seat per user.
Open source is free; Cloud and Pro are billed per user.
Your domain, logo, colours and fonts — fully on-brand.
Report themes exist; own domain and UI only via Embedded.
Reports live on lookerstudio.google.com with Google UI.
Limited branding; own portal via Embedded / Server.
White-label and own domain in paid plans or self-hosted.
The assistant answers questions about your own metrics and changes.
Copilot — on higher Fabric / Premium capacities.
Gemini features are arriving, mostly in Looker (Pro).
Tableau Pulse / Agent — on higher tiers.
Metabot exists but needs setup and a paid plan.
Scheduled digests and alerts in Telegram — built in.
Email and Teams subscriptions; Telegram only via Power Automate.
PDF delivery by email; no messengers.
Email and Slack subscriptions; Telegram only via integrations.
Email and Slack; Telegram via webhooks and extra work.
Code and database deploy on your server (Docker) or cloud.
Report Server exists, but it is mostly Microsoft cloud.
Google cloud only, no access to the code.
Tableau Server can be self-hosted, but is licensed.
Open source — fully self-hostable.
Filters, sorting and export yes; free-form drag & drop no.
Full self-service data exploration.
Drag-and-drop report builder for anyone.
The strongest tool for free-form analysis.
No-code question builder and SQL editor.
Non-technical people use the dashboard, brand and explanations matter, you don’t want to pay per viewer, and you need Telegram reports and data on your own server.
You have an in-house analyst, need free-form drag-and-drop exploration, and everyone already lives in Microsoft 365 or Google Workspace.
BI capabilities depend on the plan and change over time; this table is a general picture as of 2026.
Full comparisonWho’s behind it
Solution examples
Not separate products — examples of the metrics, questions and reports I usually set up in each industry. I also work with entrepreneurs, sole traders and individuals — from simple spreadsheets to databases.
Plans
Lowest-cost start
A static report from your existing data and spreadsheets (Excel, Google Sheets, CSV or a database) — hosted on GitHub Pages or Vercel. A strong fit for entrepreneurs, sole traders and individuals.
A proven template for your industry, connected to your own data.
Reports, models and ongoing support built around your questions.
FAQ
GA4, Search Console, Firebase, AppsFlyer, BigQuery, PostgreSQL, CRMs, ad accounts, payments, spreadsheets and any service with an API — I connect them individually for your project.
Access is read-only, keys stay on the server, and sign-in is by password or through Cloudflare.
No. Metric notes and the AI agent explain the numbers, and I’m on hand for the tricky questions.
A pilot on your industry template takes 2–4 weeks; a full done-for-you setup takes 4–8 weeks. The exact timeline depends on the number of sources and tracking quality — I confirm it after the audit.
Yes. The dashboard grows with your business — I add widgets and sources whenever you need them.
I reply the same day. No sales decks, no commitments.
Or reach me directly:
Open the demo →
