Choose applications relevant to your needs
From NZ Manufacturer, October 2023 -Adam Sharman, Senior Partner, dsifer As organisations look to embrace the benefits of digitisation through automation, IoT and AI, a trend is emerging that embraces the growing availability, specificity and cost effectiveness of a plug-and-play approach to developing an IT and data architecture. Advances in functionality, connectivity and speed to deployment have resulted in the ability to pick and choose applications that are relevant to the specific requirements of the organisation’s industry, operations and environment at a time when the vast majority of IT professionals report significant time waste due to bloated, generic applications. Whilst this trend towards a plug-and-play system architecture has multiple benefits, it requires careful consideration of the underpinning data architecture to ensure that, not only are data privacy and sovereignty maintained but that the data generated by the plug-and-play ecosystem is collected and utilised as a performance and strategic asset. In our interactions with manufacturing businesses in New Zealand and the UK, we are seeing the importance of establishing an independent, centralised data architecture as an enterprise asset to support the plug-and-play IT architecture, receiving data feeds from the operational systems, and using a combination of these source datasets to create meaningful and actionable insights. There is still much debate on the relative benefits of physical centralisation (data lakehouse) versus a virtually centralised (data mesh). In our experience, both have their place depending on the organisation’s context. However, the key characteristic of the data architecture that supports a plug-and-play IT approach are that the data assets, architecture and governance are independent of the IT applications, data siloes are removed to support integrated enterprise insight and access points are decoupled to accelerate collaboration whilst maintaining data integrity. Organisations who have adopted this approach report multiple benefits, including: Enhanced Data Governance and […]