A data-literate workforce is essential to maximising your investment in digital transformation. Upskill employees to harness data and digital tools, bring the right talent on board, and empower your analytics and data teams to deliver measurable results for your business.
Equip your teams with the skills and knowledge to confidently navigate and leverage your digital and data tools, boosting overall data literacy across the organisation.
Simplify the hiring process with our industry-leading testing, designed to identify top data talent and uncover hidden gems for your team.
Build and optimise data and analytics teams, customised to your organisation’s needs, goals, and level of analytical maturity.
Understand the skills, structure, and culture shifts needed to maximise your team’s impact. This collaborative session provides actionable insights to prepare your people for a digital and data-driven future.
Curious about building a data-literate workforce? Check out our FAQs for insights on how upskilling and bringing in the right talent can drive your digital transformation success.
A clear data strategy ensures that your data initiatives align with your business goals, making sure you get most out of your data, minimising waste, and driving you towards success.
No, it depends where you are at in your data journey, if you are a large organisation and using data then you should have at least a data strategy, but if you are just starting out we think you should start small with a North Star Project. We explain this more in this blog post.
Developing a data strategy usually takes about 4 weeks to 2 months, depending on how big your organisation is. Since it involves input from leadership and people across different teams, it can take a bit longer to coordinate everyone’s schedules. So, the overall timeline often depends on finding the right time for everyone to connect.
Absolutely! We’ve assisted numerous organisations with their data strategies. We offer a complimentary data strategy workshop where we can review your existing strategy and provide tailored advice.
A data audit assesses the current state of your data, identifying risks and opportunities for improvement. It addresses key questions such as: Where do critical data assets reside? What is the quality of the data? How is it being shared and secured? Are there opportunities for automation? Conducting a data audit at least annually is essential for effective risk management.
An AI strategy makes sure your AI initiatives align with your organisational goals and really deliver results. It covers the key elements you need, like data, talent, governance, processes, culture, and technology to make it all happen.
A Fractional CDO offers senior-level expertise on-demand, guiding your data and AI initiatives to align with your broader strategy. They provide the strategic direction you need, ensuring you're on the right path, without the commitment of a full-time hire.
Data literacy enables your team to interpret and use data effectively, builds better understanding & trust in the numbers, and drastically improves their ability to self-service, leading to better decision-making, less strain on the analytics team, and maximising the value of your digital transformation efforts.
We help across all spectrums of data related roles, from more technical roles such as data scientist, data analyst, data engineer, through to strategic and managerial roles like analytics manager, head of department, business analysts, and innovation roles.
We offer a free opportunities audit for your organisation, where we take a look at the current state of what’s happening now, build out a picture of the desired outcome, and then map out what needs to change to bridge the gap. This helps give you clear priorities of what to start with, focusing on the highest impact to your business operations.
Our academy offers tailored training programs to boost your team’s data skills and confidence. We focus on practical learning that equips your team to use data and digital tools effectively in their daily roles, with the aim of boosting self-service and confidence in working with numbers.
Ways of working is all about how you set up your data & analytics specialists in a structure that supports the business objectives, reduces inefficiencies, and has very clear outcomes for each role that ties back to the business strategy. We look at optimising the team structure, the focus of each role, and crucially the processes and frameworks they follow to reduce bureaucracy and focus on delivering outcomes.
To really make a data-driven culture a reality, there needs to be buy-in from the entire team on it’s importance to both their role and the organisation’s future, the skills & training to ensure the team are set up for success, and processes that are built into habits to become second nature for those in the team.
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