Data Integration & Automation

With over 20 years of consulting experience on data architectures our approach is highly practical and always bespoke.


What is Data Integration & Automation?


Enabling data architecture to unlock insights or enable complex business or service propositions often requires organisations to think about bringing together multiple data sources. Unlocking this value and building a coherent and scalable data ecosystem is a common challenge for businesses today.

Why invest in Data Integration & Automation?


To build critical business intelligence, analytics or other insight from data usually requires connecting different data sources intelligently. Critical to the success of building out value from data is to understand the key commercial and business drivers that then help to define which interactions and customer touchpoints are important. Through effective automation of these integration processes, organisations can unlock that value at scale while at the same time ensuring risks and efforts from manual processes are minimised.

Connecting data to value


We help you to strategically identify the right integrations and how to build them so that your data systems delivery key insights to support commercial or business decisions.

Cost reduction and productivity


We help you to build robust automation processes that eliminate manual (risky) processes and deliver cost benefit back to the business. Through automation and integration, data can be shared, processed and transported at the right time, thus minimising time to deliver and gives insights to end users when they need them.

Performance and risk


Through the removal of manual process, risk is inherently reduced. Automation brings reliability and consistency to a data process, helping to deliver trust. Well-documented and delivered ETL processes allow real insights into potential risks and readily enables strategies for future improvement.

How does Lynchpin do it?


With over 20 years of consulting experience on data architectures and with a completely neutral vendor / platform perspective, our approach is highly practical and always bespoke. Our neutral vendor / platform approach means that we have built up significant expertise across many solutions. We recognise the potential for automation (we use it ourselves!) so that the resources in your business can dedicate their expertise to solving business challenges and acting on insights rather than working through manual data processes.

Fully managed service

We take full ownership of the process and delivery of your data back to you as actionable insight, giving you full transparency of the storage, processing and accessing of your data backed up with formalised SLAs and enterprise-level support.

Change management

In our experience, it’s essential to support people and get their support while delivering the processes that form parts of your data strategy. Crucially, using workshops and training as part of our approach, we can help you develop and maintain processes to support data integration and automation.

Vendor / market analysis

We work collaboratively with vendors to achieve the best results when integrating tools. Our developers can get into the detail of specific challenges while our business analysts make sure dependencies are identified early on and sensible commercial compromises are made when incompatibilities arise.

Often vendors build up their portfolios of tools by acquisition, and an external independent view is equally valuable as when integrating tools from different vendors.

Case studies


As an independent, full-service analytics consultancy, our team are flexible – equipped with a range of practical experience, skill, and commercial awareness.

Our services portfolio is broad and comprehensive. You may be unsure exactly what service is right for the outcomes you are looking for and your own situational needs. We’d be delighted to talk more about your business and how we may be able to help.

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