Strategic Information Technology – Level 1

Enterprise Data Architecture

• Design and implement robust enterprise-wide data architectures.
• Align data systems with business and regulatory requirements.
• Ensure interoperability between analytics and IT infrastructures.
• Develop data governance protocols for scalable enterprise analytics.

Strategic Technology Integration

• Integrate new technologies into legacy systems for data optimisation.
• Ensure alignment of analytics platforms with corporate objectives.
• Develop frameworks for secure, seamless data exchange.
• Apply architectural best practices for sustainable technology growth.

Foundations of Data Analytics

• Understand the core principles, tools, and methodologies in analytics.
• Explore data lifecycle stages from collection to insight generation.
• Apply descriptive, diagnostic, and predictive analytics techniques.
• Develop problem-solving approaches using statistical reasoning.

Data Visualisation and Communication

• Transform data into meaningful and actionable visual insights.
• Use dashboards and storytelling to communicate analytical outcomes.
• Apply visual design principles to enhance understanding and engagement.
• Leverage software tools like Power BI and Tableau for visual analytics.

Predictive Analytics and Forecasting

• Develop predictive models using regression and time-series techniques.
• Apply machine learning algorithms for accurate forecasting.
• Interpret predictive results to support business decisions.
• Integrate predictive analytics into enterprise planning systems.