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.

How do organisations keep data secure while enabling BI and AI?

There are a number of features and services that help to keep data secure and compliant: - Role-Based Access Control (RBAC) - Row-Level and Object-Level Security (RLS/OLS) - Encryption - Data loss prevention (DLP) - Governance tools auch as Microsoft Purview - Auditing and monitoring Security must be continually reviewd and solutions must evolve as data volumes and AI use cases expand.

What is data lineage, and why is it useful?

Data lineage tracks where data comes from, how it has been transformed, and where it is used. This in turn helps with: - Troubleshooting data issues - Auditing data pipelines - Demonstrating compliance - Trustworthy BI dashboards and AI outputs

How do cloud platforms support modern BI and AI data management?

Cloud platforms provide: - Unified storage (like OneLake) - Scalable computing - Integrated governance tooling - Real‑time data streaming - Built‑in machine learning environments This helps to remove silos and enable end‑to‑end analytics and AI on a single platformmsuch as Microsoft Fabric, Azure and AWS.

Why is data management more important now than ever?

BI and AI rely on high‑quality, trusted, governed data. As organisations generate more data from cloud apps, IoT, and digital processes, strong data management ensures consistency, security, and readiness for advanced analytics and machine learning.

What is Data Management?

Data management refers to the processes, tools, and governance needed to collect, store, organise, secure, and maintain data.

Data Strategy & Data Governance

What is a Data Strategy?

A data strategy is the plan that defines how your organisation will collect, manage, and use data to serve the business in a secure, reliable, and effective manner. Data governance is the collection of policies, standards, roles, and processes that make that plan a reality, ensuring your data remains accurate, consistent, secure, and trustworthy. With the widespread adoption of self-service business intelligence, and the increasingly rapid proliferation of AI tools, they are fast becoming a vital foundational stage of any successful data practice.

How can PTR help?

Data Strategy

Take control of the many touch points on your data, from data entry to consumption, to turn scattered information into a reliable asset that reduces risk and drives smarter business decisions.

Data Governance

Ensure data is trusted, secure, discoverable, and fit for purpose—across analytics, operational systems, and AI initiatives.

Data Platform

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

Data Management

Reliable insights depend on reliable data, so ensure data is available, safe, and of high quality.

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 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 Purview

Microsoft Purview helps organisations understand, protect, and govern their data wherever it lives.

Why choose PTR?

We have been helping our clients for over 35 years, working with organisations of all different shapes, sizes, and levels of data maturity. 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 will give you confidence your data function is built on solid foundations.

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

Data Strategy & Data Governance Consultancy Services