Data Analytics Consultancy

One set
of numbers
to trust.

We are a data analytics consultancy for businesses where the CRM and the finance system disagree, and someone spends the first week of each month reconciling them in Excel. We put your sources on one governed platform and build reports people trust.

Talk to a data consultant How a data project runs ↓

✓

We work in Power BI, Tableau & Snowflake

Data quality checks built into pipelines

insights.pixeledge.io

BI Dashboard

Data freshness: Live

Synced

Sources

Passed

Quality checks

Real-time

Refresh

Single Source of Truth

All data, one platform

Report Refreshed

2 min ago

Stages in Every Data Project

Capability Areas

Tool Categories We Cover

Ways to Engage Us

01 — What we do

Reporting the board can rely on

Most reporting problems start further upstream, in the data. We fix the plumbing first, then build the dashboards on top.

Data Strategy & Architecture

We agree the questions the business needs answered, then choose a platform and governance model that can answer them at your scale.

Strategy Architecture Governance

Data Warehouse/Lakehouse & Pipelines

Warehouses or lakehouses fed by automated ETL/ELT pipelines, with checks that flag bad data before it reaches a report.

Warehousing ETL/ELT Data quality

Dashboards & Self-Service Analytics

Dashboards designed around the decisions people make, plus the training and permissions for teams to answer their own questions safely.

Dashboards Self-service Adoption

02 — Our capabilities

What our data analytics services cover

Some clients start with a folder of spreadsheets. Others have a warehouse that has grown messy over the years. Our specialists have worked with both.

Data Strategy & Architecture Design

A data strategy and target architecture that fit your priorities and the tools you already pay for.

Roadmapped

Data Warehouse & Lakehouse Implementation

Warehouses and lakehouses on Snowflake, BigQuery or Redshift, sized for your data volumes with running costs kept visible.

Cloud-native

ETL/ELT Pipeline Development

Monitored pipelines that load and transform data on schedule, and alert someone when a source system changes.

Automated

Power BI, Tableau & Looker Dashboards

Dashboards people open without being reminded, built in whichever BI tool your organisation already uses.

Self-service ready

Data Governance & Cataloguing

Named owners, lineage and a searchable catalogue, so people can find a dataset and know whether to trust it.

Owned & documented

Master Data Management

One agreed record for each customer and product, shared by every system that uses it.

One source of truth

Self-Service Analytics Enablement

Training and guardrails that let business teams build their own reports without queuing for IT.

Guardrails included

Predictive Analytics & ML Integration

Forecasts and ML models surfaced inside the dashboards your teams already use, not in a separate tool.

Forward-looking

Typical engagements

The kind of data projects we run

Illustrative engagements showing the problems we are usually asked to fix.

Discuss your reporting

Example engagement

Financial Services

Real-Time Risk Reporting

A lender assembling regulatory returns by hand from core systems that disagree. We pull them into one governed warehouse, so every return starts from the same data.

Returns from one dataset

Example engagement

Healthcare

Patient Outcomes Dashboard

A care provider with clinical and operational data in separate systems. We combine them on one Power BI platform, so clinical leads see outcomes in one place.

Single live view

Example engagement

Retail & E-commerce

Unified Customer Analytics

A retailer whose till, online and loyalty data sit in three places. We merge them into one warehouse, giving a single view of each customer across channels.

One customer view

03 — How we deliver

How a data project runs

We aim to put a working report in front of users early, then widen the platform once the numbers have been checked against what finance expects.

Understand

We list the decisions people need to make and the reports they use today, trace the sources behind them and note where those sources disagree.

Stakeholder workshops Source mapping Requirements

Architect

A platform design that fits your existing stack and governance needs, with tools chosen to suit your team.

Platform design Tooling selection Governance model

Build

We build pipelines, data models and dashboards in short iterations, aiming to put something useful in front of users early.

Pipelines Data models Dashboards

Govern

Quality rules, named owners and documentation, so the numbers stay right after we hand over.

Data quality Ownership Documentation

04 — Our platforms

Data tools and platforms we work in

We recommend tools based on your data volumes and the skills already in your team. Often that means making better use of licences you already pay for.

BI & Visualisation

Power BI Tableau Looker

Data Warehousing

Snowflake BigQuery Redshift

ETL/ELT

dbt Airflow Fivetran

Governance

Collibra Microsoft Purview

Databases

PostgreSQL MySQL MongoDB

ML & Predictive

Python scikit-learn MLflow

05 — Get started

Two ways to work with us

Some clients need a data platform built from scratch. Others have one already and need people to keep it running and extend it.

Full Data Platform Build

A complete data platform, from the architecture through to governed pipelines and the dashboards your teams check every morning.

Data strategy and architecture
Warehouse and pipeline build
Dashboard design and rollout
Governance and documentation

Discuss your data platform

Ongoing Analytics Support

Have a platform but nobody with time to look after it? We work as part of your analytics team, fixing broken pipelines and building new reports as requests come in.

Pipeline maintenance and fixes
New dashboards and reports
Data quality monitoring
Flexible monthly engagement

Ask about analytics support

One set
of numbers
to trust.