What parts of the data journey can PTR help with?

PTR supports the full data lifecycle: collecting, storing, preparing, and serving data for analytics and reporting, whether it be BI or AI.

What makes PTR qualified to deliver data platform consulting?

PTR has over 35 years of experience working with data platforms and is a Microsoft Solutions Partner for AI & Azure Data, making them highly experienced in modern data architectures.

What is a Single Source of Truth (SSOT)?

A single source of truth (SSOT) is in simple terms a single repository for your trusted, quality, validated business data. An SSOT can take many forms depending upon whether you are including your business data dictionary, business logic and calculations. You have options of a Data Lake, a Lake House, a Data Warehouse, a Semantic Model, or a hybrid of these. Take a look at this blog [Single Source of Truth Repository - Where should it be?](https://www.ptr.co.uk/blog/single-source-truth-repository-where-should-it-be) to find out more about SSOTs, what they are, and where yours should be.

What is Microsoft Fabric?

Microsoft Fabric is a unified analytics platform that brings Lake house, Database, Data Warehouse, ELT/ETL pipelines, AI & Machine Learning and Power BI into one integrated cloud platform. This single integrated data platform provides for a simpler and more cost effective licensing model and a single administrative environment providing for easier security models and maintenance. Microsoft Fabric provides a modern foundation to support better governance, stronger control, and improved AI readiness.

How does the Lakehouse empower business users?

Self‑service tools built on top of central, trusted, governed data enable business users and analysts to create insights without reliance on IT bottlenecks.

Data Engineering & Data Integration Consultancy Services

Data Engineering & Data Integration

Business Intelligence, Decision Intelligence, Artificial Intelligence - they all share the same diet: Data. Our data engineers help you extract that data from myriad sources and prepare it for consumption by a whole range of different workloads.

Talk to our team

What is Data Engineering?

Data engineering is the practice of designing and building processes that extract, collate, and prepare data for consumption. That process may be to serve a whole range of different consumers - business intelligence & reporting, data science & machine learning, agentic AI and LLMs. They all have something in common which is that they work most effectively when they are served with high quality, well maintained, authoritative data.

How can PTR help?

Data Platform

A robust, scalable infrastructure is the foundation of a successful data practice.

Data Integration

The first barrier to consuming your data, is getting it out of all the various systems, repositories, and files where it sits to begin with.

Data Validation

The ability to quickly identify and remediate data quality issues is key to building and authoritative data repository that people trust.

Data Modelling

Apply meaning and context to your data as the launch pad for self-service business intelligence and decision intelligence.

Realtime Data

Streaming data from your IoT devices straight into a dashboard enables you to see what is happening as it is happening.

Data Migration

Aside from the heavy lifting of moving your existing data, migrating from on-premises to the cloud is also a paradigm shift in how you approach your data.

Technologies

We specialise in building data solutions in the Microsoft ecosystem. We have been a Microsoft partner since 2005, currently holding Solution Partner designation for Data & AI in Azure, with certifications held across the team in Microsoft Fabric, Azure, and Power BI so you can be confident that our knowledge and skills have been tried and tested.

Microsoft Fabric

Microsoft Fabric is a unified analytics platform, an evolution of several existing Microsoft analytics products consolidated into a single administrative environment and licensing model which makes licensing, development, and administration much simpler.

Microsoft Azure

Azure is a public cloud offering from Microsoft. With an ever expanding marketplace of components and services available, you can build tailor made data platform solutions precisely to your specification.

Why choose PTR?

We have been helping our clients for over 35 years wrangling with data of all shapes and sizes from hundreds of different systems and platforms. We take the time to listen and learn everything we can about you, your business, your people, your data estate, and your aspirations to design and build practical and scalable solutions that deliver real return on investment.

Some of the people who have relied on us to solve their data engineering challenges:

How do we work with you?

Whether it's purely strategic advice, implementation and development work to spec, fractional data engineering support, or a fully outsourced data function, we offer a range of flexible engagement patterns to suit your business, budget, and need.

Pay As You Go

DAY RATE

£1,250/day

Flexible delivery as and when you need it

No Commitment
Time and Materials
Use us when you need us

Fixed Project Fee

PRICE

£On Request

Everything locked in up front

Fixed Deliverables
Fixed Fee
Clear timescales

Retained Service

FROM

£1,095/month

Cost effective and flexible resource augmentation

12 Month Agreement
Minimum 1 day/month
Discounted day rate
Predictable monthly billing
Flexible delivery
Easy top-up
Discounted training

What does this look like for you?

Everyone is different so we tailor our approach to reflect that by listening to you, understanding where you're starting, where you're aiming for, and what your priorities are. This is just an example of what a typical journey often looks like with us, yours may be different but the starting point is the same - a chat!

1 Hour - An introductory call with one of our solution architects to learn about your requirements and help us identify the best next steps for you.

Typically 3-5 days - A deep dive investigation of your business systems and data estate, your people and their skills, and your business needs and aspirations. We use this to put together a solid technical strategy and implementation plan for you.

Typically 5 Days - Particularly with larger projects, it is useful to demonstrate the technical feasibility and business value of a project before committing to long term spend. Not always necessary, but can help to firm up some variables and to measure consumption demands which can be difficult to predict in cloud environments.

Typically 10-20 Days - This really will be different for everyone and can vary widely, but we aim to work in short cycles that deliver quick results with scope for iterative onward development and flexibility to change requirements.

Typically 3-5 Days/Month - Once people get an appetite for data, it tends to keep growing and with it, requirements keep evolving. Our retainer service enables you to keep a highly skilled data team on hand to respond to those changing requirements under a predictable billing model to suit your budget.

Free Discovery Workshop

Data Discovery Project

Proof of Concept/Value (PoC/PoV)

Minimum Viable Product (MVP)

Retained Consultancy Service