DATA & AI Analytics · BI

Dashboards leadership actually trusts .

A report nobody trusts is worse than no report at all. Billow’s data analytics and business intelligence services turn your data into dashboards, reporting and self-service analytics built on a trusted foundation — so decisions are made on evidence, not arguments over whose numbers are right.

  • Analytics & dashboards
  • Business intelligence
  • Power BI & reporting
  • Self-service analytics

Overview

What are data analytics and BI services?

Data analytics and business intelligence (BI) services turn your data into dashboards, reports and analysis that inform decisions — giving leaders and teams a shared, trusted view of what’s happening and why. Done right, BI replaces gut feel and spreadsheet arguments with evidence everyone agrees on.

 

Most organizations have plenty of reports and very little trust in them. When every team has its own spreadsheet and every number has three versions, dashboards become something to argue about rather than act on — and decisions drift back to opinion. The problem is rarely the chart; it’s the foundation and the definitions underneath.

 

Billow builds BI people trust. We model your data for analytics, build clear dashboards and reports (often in Power BI), enable governed self-service so teams can answer their own questions, and define every metric consistently so a number means the same thing everywhere. The result is analytics that leadership relies on — and that actually change what gets decided.

What's included

Analytics that inform real decisions

Our data analytics and BI services cover the whole path — from modeling trusted data to dashboards people act on.

BI dashboards & reporting

Clear, interactive dashboards and reports that show what’s happening — and why — at a glance.

Data modeling for analytics

Model data into consistent, performant structures so analytics are fast and definitions agree.

Power BI development

Design, build and govern Power BI so it’s trusted, scalable and integrated with your Microsoft stack.

Self-service analytics

Governed self-service so teams answer their own questions — without the numbers diverging.

KPIs & metrics

Define the metrics that matter, consistently — so everyone measures the business the same way.

Managed BI support

Ongoing development and support so reporting evolves with the business and stays reliable.

Why BI

Reports nobody trusts are worse than no reports at all.

When numbers don’t agree, decisions drift back to opinion. Trusted BI — built on a solid foundation with consistent definitions — turns data into decisions instead of debates.

One version of the truth

Consistent, governed metrics mean a number means the same thing everywhere — no more spreadsheet wars.

Clarity at a glance

Well-designed dashboards surface what matters, so people see the story without digging.

Answers, not tickets

Governed self-service lets teams explore data themselves — fast, and without breaking trust.

Decisions on evidence

When the numbers are trusted, they actually drive what gets decided — which is the whole point.

How we build

The BI tools we work with

We build on the leading BI platforms — and recommend the right fit for your stack rather than forcing one.

PBI

Power BI

Microsoft BI

Dashboards, reporting and governed self-service, tightly integrated with Microsoft 365 and Azure.

BI

Tableau & Looker

Vendor-neutral BI

Where they fit better, we build on other leading BI platforms too — the right tool for you.

SM

Semantic model

Metrics & definitions

A trusted semantic layer with consistent metric definitions — so every number agrees.

How we engage

From data to trusted dashboards

01

Define

We agree the questions, metrics and definitions that matter — the shared language for the data.

02

Model

We model the data for analytics on a trusted foundation, so it’s fast and consistent.

03

Build

We build clear dashboards and reports — and enable governed self-service where it helps.

04

Enable

We roll it out, train users and support it — so analytics get used and keep improving.

FAQ

Application questions

Business intelligence is the practice of turning data into insights that inform decisions — through dashboards, reports and analytics that show what’s happening in the business and why. Good BI gives leaders and teams a shared, trusted view of performance, so decisions are based on evidence rather than gut feel or arguments over whose spreadsheet is right.

The terms overlap. Business intelligence typically focuses on reporting and dashboards that describe what has happened and is happening — the trusted, day-to-day view. Data analytics is broader, including deeper exploration, diagnosis of why things happen, and predictive analysis of what might happen next. In practice we deliver both: reliable BI plus the analytics to dig deeper.

Power BI is Microsoft’s business intelligence platform for building interactive dashboards and reports from your data. It’s widely used because it integrates tightly with Microsoft 365 and Azure, scales from a single team to the enterprise, and supports both curated reports and self-service analytics. We design, build and govern Power BI so it’s trusted, not just pretty.

Self-service analytics lets business users explore data and answer their own questions — within a governed framework — rather than waiting on a report from IT. Done well, it’s empowering; done badly, it produces conflicting numbers and chaos. We enable self-service on a trusted, well-modeled data foundation with the right guardrails, so people get answers and the numbers still agree.

Trust comes from the foundation, not the chart. We build BI on clean, well-modeled, governed data with clear definitions for every metric, so a number means the same thing everywhere. Consistent definitions, data quality and a single source of truth are what turn dashboards into decisions — rather than another thing people argue about.

Related services

Part of the Data & AI practice

Analytics and BI sit on top of your data foundation and the rest of the AI stack. These connect most closely.

Data & AI

The full practice this sits within — AI agents, generative AI, machine learning and data engineering.

Data Engineering

Trusted BI needs trusted data — data engineering builds the foundation analytics run on.

Machine Learning Services

Where analytics describe what happened, ML predicts what happens next — the next step up.

Get started

Give leadership numbers they can trust.

Tell us which decisions get stuck in “whose numbers are right” — and we’ll show you what trusted dashboards, on a solid foundation, would change.