What is Technology Configuration & Support?


Data projects of all levels require appropriate investment in technological support and management in order to be successful. Whether you are looking to deploy a data layer to a website, implement a tag manager or CRM, or an entire Analytics stack, it is vital to think about the long-term health and viability of your implementation. Consideration of, and investment in deployment processes, configuration, and maintenance practices will ensure the business has continuous access to quality data to make key decisions and ultimately grow. By working from a rock solid technological base an organisation will be future-proofing their data pipeline, keeping it healthy and aligned with evolving business and commercial needs.

Why invest in Technology Configuration & Support?


Seamless tooling


Invariably the typical Analytics Stack incorporates numerous technologies from numerous vendors. Marshalling your tooling is a non-trivial task as every product is different; it is important that each one is configured to integrate seamlessly so they operate to their potential – in turn allowing you to get the most out of your data.

Guard against technical debt


Analytics implementations quickly grow in complexity, even for relatively simple business requirements. Therefore over time quick hacks or fixes may creep into your deployment, introducing a new risk factor: technical debt (where time must be spent re-doing or fixing previous work). Technical debt can snowball at an alarming rate. To be successful data practitioners it is key that your organisation invests in appropriate change management and configuration processes to guard against, and manage this risk.

Protect production analytics


A data-driven business will be taking key decisions based on the analytics stack. Over time choices made at this level will have a material impact on the performance of the organisation – positive as well as negative. As such it is imperative that the integrity of production data collection and reporting is protected. Investing in an appropriate change management process means the business can have full confidence in the datasets available for driving decisions and strategy.

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.

Change and release control

Lynchpin can support your various technical deployments through management of changes across toolsets to support analytics. For example, creating release processes and workflows for tools such as Adobe launch. This provides rich auditing and transparency around technology that enables change to be agile.

Training

We can support an in-house eco-system that allows analytics to flourish through bespoke training programs for any analytics technology. Our independence and expertise across many systems allows us to build out training programs and documentation to help support new and power users alike.

Library Versioning

We can support you develop processes to ensure that technology is up-to-date, including latest releases to fix defects or anomalies. Combined with a change program, this delivers the most resilient installations for analytics technologies.

Health check

At Lynchpin, we understand the value in protecting investment choices in analytics to support a long-term and sustainable data framework for analytics. Our team of engineers, data scientists and business consultants can work with you on a programme to sustain and maintain resilience of the data systems which support your analytics strategy.

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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