Software development • Montreal

Custom Dashboard Development in Montreal

If your weekly numbers live in six spreadsheets and one person's head, you do not have a reporting problem. You have a data plumbing problem. We build custom dashboards for Montreal businesses that need to see sales, operations, coverage or security status in one place, updated automatically and trusted by everyone.

DaniMaster is a Montreal software team. We build dashboards on top of your existing databases, SaaS tools and public data sources, and we have built several for our own businesses. We care about the pipeline behind the chart as much as the chart.

What we build

A dashboard is only as good as the data feeding it.

• Management and KPI dashboards. Revenue, margin, pipeline and customer metrics from your CRM, accounting and billing systems, refreshed on your schedule.
• Operational dashboards. Live views for teams that run things: orders in progress, tickets by status, fleet-style maps of vehicles or technicians.
• Map and geocoding dashboards. Addresses turned into coordinates and plotted by region, category or density, with drill-down to the record.
• Big data analytics. When volume outgrows a spreadsheet or a single table, we build Python and PostgreSQL pipelines that aggregate millions of rows into summaries a dashboard can query in under a second.
• Data pipelines and integrations. Connectors to APIs, exports, databases and open data portals, with validation so bad data is flagged rather than charted.
• Client-facing dashboards. Reports your customers log in to see, with permissions per account.

We build in Next.js, TypeScript and Python.

How we work

Discovery. We sit with the people who will read the dashboard and ask what decision each number supports. If no decision depends on it, it does not go on the screen. We inventory every data source and check its quality.

Design. We sketch the layout first: which metrics, which filters, which comparisons. We define each metric in writing, so revenue means the same thing to finance and to sales.

Build. The data pipeline comes first. We extract, clean and store the data, then build the screens on top. You see real numbers early, which surfaces data problems while they are cheap to fix.

Test. We reconcile dashboard totals against your source systems and the spreadsheet you trust today. Differences are explained, not hidden.

Launch. We deploy, set refresh schedules, configure access by role and train the team.

Support. A monthly plan covers new widgets, new sources and the inevitable API that changes its format.

Dashboards we built and use

BizLocal, our Quebec and Canada business directory with about 49,000 listings, has dashboards built from open data that show coverage by region and category. They show where the directory is thin, which categories are missing in a city and how geocoding is progressing. They were built by joining public datasets, cleaning addresses and plotting results on maps, and they drive our data work every week.

FacilInvoice, our bilingual invoicing SaaS, has an admin console that tracks subscriptions through Stripe, invoices by province and tax type, and Interac e-Transfer reconciliation status, so we see payments that matched automatically and the few that need a human look.

Our monthly security review produces its own reports: every hosted domain with its TLS status, headers, DNS authentication, open ports and container scan results, with history of what changed since last month.

Each started as a question we could not answer quickly, which is the same starting point we use with clients in Montreal.

What it costs and how long it takes

Dashboard costs depend mostly on data: how many sources, how messy and how much needs real-time refresh. Ranges in Canadian dollars:

• Single-source KPI dashboard (one database or SaaS tool, five to ten metrics): $3,500 to $9,000, two to four weeks.
• Multi-source management dashboard with a data pipeline: $10,000 to $30,000, four to ten weeks.
• Operational or map dashboard with geocoding and live updates: $12,000 to $40,000, six to twelve weeks.
• Big data analytics pipeline with aggregation layers: $25,000 and up, scoped after a data assessment.
• Client-facing dashboards with per-account permissions: add $5,000 to $15,000.
• Monthly support and data maintenance: $300 to $1,500.

Hosting is usually modest, and we can run on your existing servers. If an inexpensive off-the-shelf reporting tool solves your problem, we will say so and set it up instead. Quotes are fixed after a short data assessment, which also tells us whether your data is ready.

Why a Montreal dashboard team

Your data is yours, and in Quebec that carries legal weight.

Law 25. Dashboards often aggregate personal information: customers, employees, locations. We design them so personal data is minimized, access is restricted by role and exports are logged. Where a chart only needs counts, it never touches names.

Bilingual by design. Labels, filters and exported reports in French and English, so a Montreal operations team and an Ontario partner read the same screen.

Same time zone. When Monday's report shows a blank chart because a source API changed overnight, we are already at work and can fix it before your meeting.

Canadian hosting on request. We can host the dashboard and its data on Canadian servers, which many clients and public-sector partners now require.

Local data knowledge. We work regularly with Quebec and Canadian open data: postal codes, municipal boundaries, business registries, census geography. Geocoding Quebec addresses has quirks we have already met.

Who this is for

A distribution company in Montreal runs twelve delivery vehicles and plans routes from memory. A fleet-style operational dashboard shows every vehicle, its stops and its delays on one map, refreshed every minute.

A multi-location clinic group tracks appointments, no-shows and revenue in a different spreadsheet per site. One dashboard, fed by the booking and billing systems, replaces the monthly consolidation exercise.

A franchise or association wants to see coverage across Quebec: where members are, where gaps exist and how that compares with population. Open data joined with their own records answers it on a map.

An e-commerce brand has Shopify, Stripe, Google Ads and a warehouse system that never agree on the numbers. A pipeline reconciles them nightly and a dashboard shows margin by product, not just revenue.

If your team argues about numbers more than it acts on them, we can help. Start with a free 30-minute call and bring the spreadsheet you trust least.

Frequently asked questions

Can you connect to the tools we already use?

Almost always. We connect to databases such as PostgreSQL, MariaDB and SQLite, to SaaS tools with APIs such as Stripe, Shopify, HubSpot, Odoo and ERPNext, to Google Sheets, and to scheduled file exports when there is no API. We test each connection during discovery, before quoting.

Is a custom dashboard better than Power BI or Looker Studio?

Not always. If your data is clean and lives in one or two sources, an off-the-shelf tool is faster and cheaper, and we will say so. Custom makes sense when the hard part is the data pipeline, when you need maps or live operational views, or when clients must see their own data.

How often does the data refresh?

As often as the source allows and the decision requires. Financial dashboards often refresh nightly. Operational and fleet dashboards refresh every minute or in real time through webhooks. Each widget shows when its data was last updated, so nobody acts on stale numbers without knowing it.

What is big data analytics for a small business?

It means your data no longer fits in a spreadsheet or a single table: millions of transactions, sensor readings, web events or map points. We build aggregation pipelines that pre-compute the summaries your dashboard needs, so screens load fast and raw history stays available. Most small businesses need this for one or two datasets.