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The key to Legacy Modernisation Success is Data Integration

The key to Legacy Modernisation Success is Data Integration

Legacy Modernisation can be a complex and costly endeavour. By moving your data to the cloud and utilising data integration services to connect to your legacy systems, organisations can reduce costs and improve performance.

Whatever industry you are in, it has been a tough year with a lot of disruption, some of which, is likely to continue in the coming months. Both the pandemic and Brexit have caused much uncertainty and resulted in an economic landscape that would have been unimaginable back in January last year. Lockdowns have contributed to an increase in demand for digital solutions and services for both consumers and businesses, driving organisations to fast track their digital transformation strategies in a bid to stay relevant, operational and sustainable.

Delivering at Pace

Organisations such as Uber, Facebook and Spotify are well positioned to respond at pace when challenges like these arise, with the ability to launch new customer services and features quickly and at almost zero marginal cost. Businesses such as these often set the new benchmark for customer experience, particularly among today’s tech savvy consumers. They are natural innovators that can easily roll out new offerings and scale them up or down – at will. However, unlike many they do not rely on complex and large legacy estates which often need to be integrated with new software applications, making it much easier for them to stand up new services quickly.

Being constrained by your legacy platforms and enterprise architecture technologies that were not designed for today’s digital age -which require the building of an ever more complex layer of integration to support digital service delivery – isn’t the best solution anymore. 

To deliver similar and superior customer experiences and at the same time reduce operating costs, organisations now face an imperative to move their data to the Cloud – at pace.

The Power of Data Integration

Data Integration as a Service (DIaaS) delivers an integration approach that provides connectivity to legacy/back-end systems, sources, files, and operational applications through the implementation of well-defined interfaces, web services, and calls between applications and data sources. DIaaS creates a more loosely coupled environment, safe from complex interdependencies and enables integration across a multi-cloud environment and with third parties, enabling organisations to:

  • Deliver change faster
  • Insulate legacy systems to reduce their change risk
  • Cost effectively utilise modern mechanisms of data integration
  • Future-proof your data integration and reduce the total cost of ownership

Cloud based data integration services deliver the optimum integration as and when required. This ensures you do not consume costs when not needed as you would with traditional legacy architectures and systems which are inflexible and expensive to run. Adopting this modern cloud-based approach to data will deliver greater agility, speed, and efficiency, at lower cost – helping to accelerate digital transformation and further innovation, which for most businesses is essential for growth, longevity, and future prosperity.

To maximise the efficacy and optimise the cost of moving your data to the cloud, it is important that you undertake the necessary preparation work and ensure that you have the right resources and skills for the project.

1. Have clear objectives and requirements

How will your legacy data be used once in the cloud? This can impact the effort (as well as the size of budget) required. Must be business driven with technology enabling.

3. Conduct a thorough analysis early in the project

The outcomes of this analysis can greatly impact migration and solution planning.

4. Research Cloud Vendors and Solutions

Don’t be tempted just to migrate data in its existing format without doing some research into the tools and services cloud vendors offer. It may be that you are missing out on significant cost savings if you do.

5. Ask for help if you need it

Engage a partner to help if you don’t have the cloud and data expertise in house. It will save you money (and potentially a lot of pain) further down the road.

3. Take a step back

This is an amazing opportunity to look at your data, how you use it, and what is important to you. Understanding what the data does for your business can massively alter the design and the potential benefits the cloud move could offer.

If you want to move your data to the cloud and are looking for a partner to support, Exception can help. Our cloud and data experts help you understand your data models, logic and overall database complexity. We interrogate your legacy database structure so you can better understand what cloud data solution fits best based on complexity, feasibility and cost. Get in touch for more information or to discuss in more detail with one of our consultants.

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