Business Intelligence Dashboard Development
In most growing businesses, reporting is a person. Someone exports from the CRM, someone else pulls the accounting data, the numbers get reconciled in a spreadsheet, and by the time leadership sees a figure it describes a month that has already ended.
Biztreck builds dashboards that pull directly from your source systems and stay current. The metrics that matter — pipeline, utilisation, margin, on-time delivery, cash — visible live, with the definitions agreed once so everyone argues about the decision rather than the number.
The problem
Monthly reporting takes days of manual export and reconciliation
Different departments quote different numbers for the same metric
Data lives in four systems with no combined view
Problems surface at month-end when it is too late to react
Leadership makes decisions on gut feel because data arrives too slowly
Reporting depends on one person who becomes a bottleneck
What it costs your business
Late reactions
Margin erosion or utilisation dips discovered weeks after they started cost real money.
Wasted senior time
Finance and ops leads spend days assembling reports instead of acting on them.
Disputed numbers
Meetings spent debating whose figure is right rather than what to do about it.
Key-person risk
If reporting lives in one person's spreadsheet, it leaves when they do.
Our solution
We start by agreeing definitions. What exactly counts as an active client, a billable hour, a won deal — because most reporting disputes are definition disputes, not data disputes.
Then we build a pipeline from your source systems into a reporting layer, and design dashboards for specific audiences: a board view, an operational view, a team view. Each answers the questions that audience actually asks.
What you get
Unified data pipeline
Automated extraction from CRM, ERP, finance and operational systems.
Agreed metric definitions
Each KPI defined once and calculated consistently everywhere.
Role-based dashboards
Board, management and team views showing what each audience needs.
Drill-down
Click a number to see the records behind it, so figures can be trusted.
Alerts & thresholds
Notification when a metric crosses a threshold, not at month-end.
Scheduled reporting
Automated board packs and team reports delivered on schedule.
How we work
Metric definition
Agree exactly what each KPI means and where its data lives.
Data audit
Assess source system quality and identify gaps to fix first.
Pipeline build
Automated, scheduled extraction and transformation into a reporting layer.
Dashboard design
Build views per audience, validated against known-good figures.
Adopt & extend
Embed in the management rhythm, then add metrics as questions evolve.
Technology we use
Business outcomes
Month-end reporting effort dramatically reduced
One agreed set of numbers across departments
Issues visible in days rather than at month-end
Reporting that survives the departure of any individual
Case study
Business challenge
A consultancy tracked utilisation, pipeline and margin across a time-tracking tool, a CRM and accounting software. Monthly board reporting took three days and figures were frequently disputed in the meeting.
Solution
An automated data pipeline into a unified reporting layer, with a board dashboard covering utilisation, pipeline coverage and project margin, plus drill-down to the underlying records.
Timeline
8 weeks
Business results
- Board pack preparation reduced from three days to automated delivery
- Single agreed definition for utilisation and margin
- Under-performing projects flagged weeks earlier
- Reporting no longer dependent on one analyst
Frequently asked questions
Can you pull data from all our systems?
In most cases yes, via API, database connection or scheduled export. During the data audit we confirm what is reachable and flag anything that needs a different approach before we commit.
How much does a dashboard project cost?
A focused management dashboard typically runs USD 10,000-30,000, driven mostly by the number of source systems and the state of the underlying data.
Should we use Power BI or something custom?
If your data is already clean and centralised, an off-the-shelf BI tool is often the right answer and we will build on it. Custom makes sense when the pipeline work is the hard part or when dashboards need to be embedded in your own application.
What if our data quality is poor?
That is common and we audit for it early. Sometimes the first phase is fixing data capture at source, because a dashboard built on bad data just distributes the problem faster.
How current is the data?
It depends on the source. Many feeds run near real-time; others sync hourly or nightly where the source system limits access. We make refresh timing explicit on each dashboard so nobody misreads a stale figure.
How long does it take?
Most dashboard projects deliver a first working version in 5-8 weeks, then expand as new questions emerge.
Related solutions
Let's build software that grows your business
Book a 30-minute strategy call and we will map where business dashboards would remove the most cost from your operation — no obligation, no pitch deck.