Purpose:
Develop data literacy across BMT to empower effective data usage, fostering a workforce capable of leveraging data confidently and accurately.
Framework:
- Data Wrangler Academy (Future Aspiration): Establish a comprehensive academy to train BMT staff on all levels of data competency, from foundational knowledge to advanced analytics. This academy will formalise BMT’s commitment to data maturity, providing specialised courses and certifications aligned with the competency framework.
- Data Literacy Levels: Define literacy levels by role, supporting colleagues in progressing from Awareness to Working levels, and eventually to Practitioner and Expert as their roles demand.
- Core Skills: Focus on essential competencies, including data handling, interpretation, visualisation, and analytics basics, expanding over time with specific modules for predictive and prescriptive analytics.
- Training Modules:
- Introductory Training: Familiarises new users with the fundamentals of the Data Operating Model and essential data principles.
- Advanced Analytics: Equips data-savvy users with advanced techniques for predictive and prescriptive analytics, fostering data-driven problem-solving.
- Compliance and Governance: Designed for data stewards and users handling sensitive data, focusing on policy adherence and secure data handling.
Measurement:
Track training completion rates, participant feedback, and progress within the competency framework, setting up pathways for certification within the Data Wrangler Academy to formalise skills development across the organisation.