For this programme, SSE Enterprise Telecoms required a transformation and separation from SSE PLC, We were asked to define and implement a long term Data Strategy. This required fundamental Cultural Change to align with the new Data Architecture we delivered. Data as the key asset at Neos required the whole spectrum of data solutions, from Advanced Analytics and BI to Integrations and Master Data Management via an enterprise Business Information Model.
Key challenge: culture must be reengineered bottom-up and top-down, top-down being the more challenging part in this particular case.
Key enabler: the provision of an array of end user tools and skills that the "Data Workers" could use to dramatically improve their quality of life at work, increase productivity and efficiency to eventually arm them with the right arguments for management to be convinced.
For this project, we were asked to complete a Digital Transformation that turned The AA from what everyone in the UK recognises into an "Internet of Things" powerhouse that not only does what we see on their TV ads, but can actually predict when, what, how, where and crucially "why" Customer events will occur and diagnose them in real-time.
Key obstacle: legacy platforms and their data, often incomplete and incompatible with each other.
Key enabler: a common, Cloud-based data platform with MDM as the backbone to link all the different entity "keys" into a "key-chain"
The Bank required data realignment to be Customer centric. This started by developing a cutting-edge IFRS9 risk modelling platform as the key enabler to the famed "Single Customer View". However, the team worked to deliver an evolution of that to a collection of "Trusted Customer Views" based on Data Services that would provide each stakeholder group with a view of the Customer that is tailored to their specific needs. Everyone needs something different, so Customer-360 and TCV were born.
Key challenge: multiple service-oriented clusters developed over the years for specific use cases.
Key enabler: Declarative Data Services, reusable, use-case and system agnostic.