Making democratic engagement something to look forward to.

We all have the potential to change the world.​ The first step is showing up.

What we did:​

Analysed the CRM data​
Analysing the systems, data, key processes and technologies.​

Built systematic processes to predict performance​
Matching young people to the courses they’ll stick to, understanding their feedback, and figuring out what makes a recruitment process successful. ​

Upskilled the team​
Hosting workshops–on topics like Dev-Ops and Data Engineering–to equip NCS’s newly formed Advanced Analytics team develop new tools and refine the ones we delivered.​

Improving no shows in the younger generation

NCS approached Transform as they wanted to reduce the number of young people who sign up to use their services but don’t turn-up, and to improve their programmes. There were three key challenges that needed overcoming using advanced analytics:

• Attrition model (drivers/forecast): Tool uncovering indicators of successful recruitment performance
• Customer experience drivers: Classification tool taking customer feedback and categorising it using machine learning
• Auto-allocation tool: Course recommender tool for when a young person signs up
  

The desired outcome was to analyse their Salesforce data, build systematic processes and expose via their Business Intelligence Tool. To reach this objective we worked closely with NCS to conduct the following:

• Immersion: Assessing the NCS strategy/objectives of the Advanced Analytics Team, systems, data and the key processes and technologies being used.

• Data Discovery: There were two areas that we focused on:
  • Access/exploration: Accessing NCS datasets and using analytical tools to interrogate and understand the data structures, relationships and quality.
  • Governance: Looking at the datasets and methods considering GDPR and Data Ethics. The NCS recruitment process gathers diversity and medical information and its use within the ML models was a concern. In addition, we established the NCS Data Governance and Data Ethics Board.
    
    

• Tool Development: Using a standard data science approach; our teams used statistical analysis and algorithms to look for ‘markers’ and ‘patterns’ within the datasets that correlated with the key performance drivers for the tool we were developing. Using machine learning to make better and faster decisions. From classifying text-based feedback, to assigning attrition prediction scores, to automatically allocating young people to the most suitable course.
• Upskilling the team: Transform focused on upskilling the newly formed NCS Advanced Analytics team. We had an ‘enablement’ workstream where we ran workshops and paired with NCS teams to upskill their team. This covered a wide syllabus from process through to adjacent areas such as Data Engineering and DevOps.
  

The tools Transform developed now sit within the NCS environment, producing outcomes in real-time for teams within NCS to make more timely decisions.

• The attrition prediction tool assigns attrition prediction scores in real-time, allowing NCS decision makers early intervention on the journey from expression of interest to sign up.
• Via the text analytics tool API daily feeds of texts and calls are categorised and fed back to Salesforce.
• The auto-allocation tool acts as a “recommender“ for when a young person signed up. The tool automatically recommends them for the most suitable course based on fill levels, suitability, location, amongst other things. The tool has replaced a very time consuming and costly manual exercise for the NCS allocation team.

Our work has ensured NCS can achieve their analytics vision to empower and equip all decision-makers, from frontline delivery staff to the Board, with the right information and insights, at the right time.

Transform successfully developed and productionised all three tools; this results in potential savings in reduction of no-shows by 5% - 13% which equates to a large saving. We also helped to create organisational capabilities and patterns/process for NCS to advance their analytics team, to develop new tools and refine the ones we helped deliver.

Things we’re proud of:​

Helping frontline delivery staff identify key performance drivers ​

Reducing the time it takes to match young people ​to the most suitable course ​

Predicting attrition using behaviour scoring ​

Navigating data governance to stay compliant ​

Creating in-house capabilities for NCS to ​ advance their analytics team ​

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"I highly recommend Transform for data and analytics work. They helped us move into the space of Advanced Analytics by designing and deploying three predictive analytics tools. I was very impressed with the width and depth of Transform’s skills set. They brought specialists for every area, from data engineering to data science and from agile project management to DevOps and deployment. They connected well with all relevant parts of our technical teams about the quality of their work. Last but not least, working with Transform was a joyful experience: every member of the team had a can-do attitude and was passionate about delivering results, which fit in really well with our culture."

Director of Advanced Analytics and Insights, NCS