Business Intelligence
A dashboard nobody uses is a reporting problem, not a data problem.
We build dashboards and KPI frameworks around the decisions that need to be made. Published in Power BI, typically in three to eight weeks.
We build dashboards that -
- answer the question that actually drives the decision.
- tell you what you need to decide, not what you already know.
- your leadership team opens before every meeting.
- replace the Excel file everyone secretly still uses.
- make the data someone else's problem to maintain.
Dashboards that exist but don't get used because they don't answer the question that matters.
KPIs that measure what's easy to measure, not what actually drives the business.
Reports that are accurate by the time they're finished and irrelevant by the time they're read. Decision makers working from Excel files because the official reporting can't keep up. Numbers that look different depending on who pulled them and when. Business intelligence only works if it changes behavior. A dashboard that confirms what everyone already knows doesn't help. A KPI that measures activity instead of outcome doesn't help. A report that arrives after the decision has already been made doesn't help. We start with the decisions that need to be made, not the data that happens to be available.
Our five phases of Business Intelligence.
Every engagement starts with a KPI session: what are we measuring, why does it matter and what action should it drive. The definitions get agreed before a single visualization is built. That's what separates a dashboard people trust from one people work around. Scope is set, risks are named. Output: agreed KPI definitions and a first dashboard sketch.
Data sources are explored, availability and quality assessed and a conceptual data model designed. This phase determines what's possible, what needs fixing before it can be used and how the architecture should be structured to support the dashboards that follow.
ETL processes are built and tested across the bronze, silver and gold layers. Raw data comes in, gets cleaned and validated, and emerges structured and governed at the other end. This is typically the heaviest part of the investment (around 30% of the total) and exactly what makes every dashboard that follows faster and more reliable to build.
The dashboard is built, numbers are validated and visualizations are tested against real use. What gets delivered isn't just visually correct: it answers the question that actually needs answering, with data the people using it can trust.
Dashboard and dataset published in Power BI. A full demo and training session for all stakeholders at delivery. After handover: maintenance, SLA agreements and an evaluation. The foundation built here doesn't just power this dashboard — it accelerates everything that follows.
A functional dashboard published in Power BI. A KPI definition sheet with agreed definitions across the business. Data model documentation covering the full ETL architecture. A user guide for the people using the dashboard day to day. A stakeholder demo and training session at delivery.
Are your dashboards telling you what you already know, or what you need to decide?
A free 30-minute conversation with one of our senior architects is a good starting point.
Free 30-minute consultation
We'll look at what you're currently working from, where the gaps are between the data you have and the decisions it should be supporting, and which investment level fits your situation. No preparation needed, just bring the question that your current reporting isn't answering.
The three questions you're already asking.
A structured conversation at the start of every engagement that establishes what the organization is actually trying to measure and why. It sounds straightforward. In practice it's where most reporting problems get traced back to, KPIs that measure what's easy rather than what matters, definitions that mean different things to different teams, and metrics that have never been connected to a decision.
That's the most common starting point. Dashboards that exist but don't get used are almost always a design problem, not a data problem, they were built around the data that was available rather than the decisions that needed to be made. That's the problem the KPI session is designed to solve before the build starts.
Yes. Beyonder publishes into Power BI and can work within an existing environment rather than starting from scratch.