Data analytics & BI dashboards every number in one place, updated on its own

A dashboard shows what happened and what is happening now: sales by month, cost per lead by channel, open invoices. Machine learning tries to predict what will happen or to classify records, and suits cases with many repeated decisions. For most businesses the first and most worthwhile step is the dashboard, because it reveals which data exists and in what quality. If a question later justifies a forecasting model, the pipeline already built feeds it, and there is no need to start again. That second part is handled under our machine learning service. The decision on what to build first follows the most urgent business question you have.

Almost any system that lets you reach its data: an API, a scheduled export or access to the database. In practice we connect CRMs, Shopify and WooCommerce stores, Google Ads, Meta Ads, GA4, Google Sheets and accounting software such as Priority, iCount, Green Invoice and Rivhit. If an older system has no interface, we check for an automatic export to email or a folder. The mapping stage gives you a clear list of what connects directly, what needs a workaround and what may be worth replacing. If one system matters especially to you, mention it in the first enquiry and we will test it before committing to a work plan.

Looker Studio is free, runs in the browser and connects easily to Google tools, so it suits most small and mid-size businesses and marketing teams. Power BI is stronger for complex models, advanced calculations and integration with the Microsoft environment, and it makes sense for organisations already on Office 365 or with large data volumes. We are not tied to one tool, and during mapping we recommend based on your team, your budget and who needs access. You can also start with one and move to the other later if the data sits in a separate store. The recommendation is given in writing with the reasoning, and you decide whether to follow it or choose differently.

Yes. We can send owners or managers a regular summary at a set time, for example yesterday's sales, new leads and cost per lead, and add an instant alert when a metric leaves the range you defined. Sending goes through the official WhatsApp Business interface and follows its template policy, and alongside or instead of it we can send an email with a PDF or a link to the dashboard. What is sent, to whom and how often is agreed with you, so the messages stay useful and do not become noise that people ignore. In every case messages go only to recipients you approved, and you can stop or change them at any moment.

It almost always is, and that does not stop a project from starting. During the connection stage we check for duplicates, empty fields, different names for the same channel and gaps between systems, and we fix whatever can be enforced by automatic rules. What cannot be repaired is flagged in the dashboard rather than hidden. We also suggest small changes at the point of entry, such as a required field in a form, so the problem does not return. Before launch we compare totals with the original reports, so you know which numbers you can rely on. Such fixes usually come down to small configuration changes, not to replacing systems or repeating manual work every month.

Dashboards that work and refresh on their own, the data connections and the data store if one was built, scheduled reports and alerts, and a document defining every metric: where it comes from, how it is calculated and what it leaves out. Accounts and access are registered in the business's name. You also get team training and a question session after launch. Afterwards you can continue with us for maintenance and new screens, or run everything yourselves, and the connections give you exactly the same ability in both cases. Training includes short written documentation, so a new employee can also understand how the dashboard is built.