Data cleansing & migration

New techniques such as rules-based natural language processing (NLP) are revolutionising this laborious work, enabling legacy data to be structured in multiple, purpose specific ways without the usual risks associated with it being done manually.

Much time and therefore cost is saved while available resources can be focussed on more complex elements of the exercise eg reviewing exceptions or testing different proposals against known scenarios requiring manual work-around processes today.

Although these systems are new and evolving fast, we have experience of the myriad issues of managing this work and recognise the importance of building in some degree of flexibility. Initial solution specifications are rarely those that are implemented and released - understanding requirements is key but projects can be dysfunctional when those leading implementations fail to grasp the essence of the business processes concerned. This is often buried deep in the history of an organisation’s evolution - our experience is that recognising this element of why a business functions as it does today is critical when planning for the future.