UK Public Sector Contracts & Tenders

This project will utilise Natural Language Processing (NLP) techniques to automatically process and analyse lessons learnt data to provide insights that aid better and more efficient project delivery. This NLP technique will also enable automatic classification ('tagging') of data within the pipeline. These techniques can be developed further into the predictive data analytics space to achieve our lessons applied vision. This project will create a prototype only.

The value Stream project is being set up to provide oversight and co-ordinate an integrated approach to sequencing the right opporunities at the right time, in acomplex stakeholder landscape.

This is an excise to ID options to improve current compliance of current response time to FOI

THis is a discovery exercise to map processes, date & systems relating to Public Registers to understand current pain points and identify potential areas of improvement

to undertake an independent lesson learned excises for the delivery of the IR&T project and produce a report which details all lessons learned and provides recommendations for future improvements

The aim of the study is to identify the benefits and costs of incident management, overall and by type of incident by further developing the economic model previously developed and identifying if incidents can be grouped into typologies that will allow an indicative benefit-cost ratio (BCR) to be determined. This will then inform a refined BCR that can be used in the next Spending Review

Methods to provide the EA with business change support and stakeholders engagement to ensure procurement and handover of data is aligned to agreed business functional standards

Provision of change management support and guidance into the DEI Project during its OBC stage., leading sessions and creating key planning artefacts and plans

The 14-week benefits maturation phase will build on the benefits identified during the DDP202 Discovery Phase, identifying proportionate reporting data and supporting embedding enduring monitoring and benefits-led decision making.