Technology Apprenticeships

Turbo charge productivity by automating manual tasks. Discover our data and AI apprenticeships, and boost your company’s data literacy.

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Solving business challenges

Less than a quarter of people working in data are able to unlock its genuine value. With AI, machine learning and robotics becoming part of everyday life, successful businesses need to upskill people across their organisations to be data literate.

What's more, they need people who can not only interpret data but use data insights to drive real, valuable change.

Lack of data skills are creating business inefficiencies

of companies are wasting time due to lack of processes

are failing to reach new customer segments

are inefficient when making decisions

are facing eroding margins

Our solutions

Microsoft Azure Developer

Salesforce Dynamics Developer

Salesforce Developer

Software Developer

Digital Business Analyst

Our apprenticeship programmes provide

Fundamentals

Give your people the ability to do more with data, taking action based on complex business information

Data-led decision-making: Decisions backed by robust data, not instinct alone
Single source of truth: Clarity created though unified data, telling consistent and coherent stories
Data accuracy: Operational efficiency boosted by consistent, complete and reliable data

Specialist

Enable confident decision-making through data analysis and data know-how

Automation: Reducing time-consuming / low value-add tasks through automation
Innovation: Identifying opportunities to innovate and improve on product development, processes and reporting
Better access to information: Improved dashboarding and reporting capability to extend access to data
Predictive Analytics: Increased ability to predict future trends and outcomes, improving margins and reducing risks

Mastery

Drive your data strategy forward through experienced leaders, getting the most out of the data across the organisation

Leadership & Strategy: Based on insightful, reliable data
Problem solving & reducing risk: Fix long-standing business problems and operate more effectively
Creating a data culture: Embedding a data culture across the organisation and baselining and improving data maturity for impact
Translating business problems: Connecting to the wider business functions to support their data needs