See the Whole Picture. Lead With Confidence.
We design and build BI dashboards and data frameworks that give every team — from the C-suite to the frontline — the clarity to act fast and correctly.
$2.41M
+18% vs last month
94%
+6pts vs last month
14,820
+12% vs last month
67.3%
-1.2pts vs last month
60+
BI Dashboards Delivered
35%
Avg Reporting Time Saved
6+
BI Platforms Mastered
18+
Industries Covered
Spreadsheets are costing you decisions
CFO's Monday routine — without BI
Measured across 40+ finance leaders before their BI implementation.
3 versions
Of "the truth"
Average number of conflicting revenue figures in a Monday leadership meeting — Finance, Sales, and Operations each pulling from their own tool.
-35%
Reporting time saved
Average weekly reporting time reduction after replacing manual spreadsheet reports with live BI dashboards.
The right BI tool for your stack
Power BI
The Microsoft ecosystem choice — deep Office 365 integration
Best for: Orgs already on Microsoft 365, Azure, or Dynamics
Strengths
Choose this when:
Your team lives in Microsoft 365 and you want governed self-serve at low per-seat cost.
Power BI Dashboard
Revenue MTD
$2.41M
+18% MoM
Quota %
94%
+6pts MoM
Active Users
14,820
+12% MoM
Gross Margin
67.3%
-1.2pts MoM
From messy data to
clear decisions
Every BI engagement follows a four-stage methodology designed around one outcome: teams making confident decisions without raising a ticket.
KPI Discovery
Stakeholder interviews to understand which decisions matter most and what data currently exists to support them. We map business goals to metrics before designing anything.
Data Modeling
We design a clean, documented data model with a semantic layer that ensures consistent metrics across all reports — no more conflicting spreadsheet numbers.
Dashboard Build
We build in your chosen BI tool, applying UX principles to make every chart immediately useful for its intended audience — executive, operational, or analyst.
Training & Rollout
Team training, documentation, and change management support to ensure adoption — not just delivery. Self-serve means teams actually use it independently.
BI Dashboards vs Spreadsheets
Every row in this table is a decision you're making slower, or incorrectly, right now.
| Criterion | BI Dashboard | Spreadsheet |
|---|---|---|
| Data freshness | Live or scheduled refresh | 24+ hours (manual export) |
| Version of truth | One metric, one definition | 3+ conflicting spreadsheets |
| Time to insight | < 30 seconds (self-serve) | 8 hrs of weekly prep |
| Drill-down depth | Unlimited with filters | Manual re-pivot every time |
| Role-based access | Row-level security built in | Manual file sharing |
| Anomaly detection | Automated alerts on KPI drift | Found in next week's review |
| Mobile access | Native app, responsive | Excel mobile is unusable |
8 hours → 20 minutes
Challenge
Mid-market distributor's CFO spending 8 hours every week pulling Excel reports from 3 systems and manually reconciling before leadership meetings.
What We Built
Power BI connected to ERP, CRM, and Shopify with a centralized semantic layer. Row-level security so each manager sees only their region's data.
Results
20 min
Weekly reporting (was 8 hours)
0
Manual reconciliation processes
100%
Leadership self-serve adoption
Ready to replace your spreadsheet reports?
Talk to an engineer this week — not a sales rep. We'll propose a BI architecture that fits your team and budget.
"We went from weekly Excel reports to live Power BI dashboards in 6 weeks. The operations team now self-serves — I haven't been asked for a spreadsheet in 3 months."
L. Thomas
CFO, Distribution Company · Manchester
Questions we get all the time
If yours is not here, reach out. We respond within 24 hours with a real answer from an engineer — not a sales pitch.
Absolutely. We do Power BI optimization — fixing slow reports, rebuilding messy data models, creating proper row-level security, and redesigning dashboards for clarity. You don't need to start from scratch.
We build a semantic layer (often using dbt or Power BI datasets) that defines metrics centrally. Revenue means the same thing whether Finance or Sales pulls it. We also document every metric definition in a shared data catalog.
Yes — that's the whole point. We design for the end user, which is usually a business manager, not a data analyst. Self-serve filters, plain-language labels, guided walkthroughs, and mobile-responsive layouts are standard.
We work alongside your team. We can lead the architecture and build, train your team, then hand over, or embed as an extension of your existing data team on a retainer basis.
We've seen it all. We can ingest spreadsheets via automated sync (using tools like Fivetran or custom connectors), restructure the data in a warehouse, and build reliable dashboards on top — while helping you wean off manual spreadsheets over time.
It depends on your stack. Power BI is the best fit if you live in Microsoft 365 and want low per-seat cost; Tableau wins for analyst-heavy teams that need maximum visualization flexibility; Looker is best for a governed semantic layer on Google Cloud where 'revenue' must mean the same thing everywhere. We're platform-agnostic and recommend based on your tools, team, and budget — not a vendor preference.
Both. For small setups we can connect BI tools directly to source apps, but for reliable, fast, single-source-of-truth reporting we build a Snowflake, BigQuery, or Redshift warehouse with a dbt or dataset-based semantic layer underneath. That keeps dashboards fast, metrics consistent, and avoids hammering your production databases.
A focused executive or operational dashboard on clean data typically starts at $5k–$12k. A full BI rollout with a warehouse, semantic layer, row-level security, and team training generally runs $20k–$60k depending on the number of data sources. We provide a fixed quote after a free BI consultation.
Turn your data into
decisions
Tell us what you need to measure. We will design dashboards and a self-serve BI setup your whole team can actually use.
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