The world of data and analytics is evolving faster than ever. Organisations face the ongoing challenge of balancing operational excellence with the need for continuous innovation. Businesses that succeed in this space can unlock actionable insights, improve decision-making, and gain a competitive edge.
To explore how leading organisations are staying ahead, we spoke with the Head of Data and Analytics at a major healthcare organisation. Our discussion revealed emerging trends, recruitment challenges, and practical strategies for building high-performing data teams.
Here’s what we learned.
What Keeps Data Leaders Up at Night?
Delivering Timely, Accurate Data
Access to real-time, accurate data is no longer a “nice-to-have” — it’s essential. “Dashboards and reports must be refreshed promptly to provide actionable insights in real time,” our interviewee explains.
In fact, research shows that 83% of organisations report missed opportunities due to delays in data delivery or poor data quality (Gartner, 2024). Skilled data professionals who can maintain data quality while keeping up with operations are in high demand.
Ensuring Data Accessibility
Accessibility is equally important. Business leaders expect data to be intuitive and easy to access. Organisations that provide employees with seamless access across departments see a 2.5x increase in operational efficiency (Forrester, 2023).
Top Trends Shaping the Data and Analytics Industry
AI and Machine Learning
AI and machine learning are reshaping analytics. From automating repetitive tasks to uncovering hidden patterns, these technologies allow organisations to extract deeper insights at scale.
85% of AI models fail due to poor data quality or lack of relevant data (Forbes, 2024). Predictive analytics powered by AI can anticipate patient outcomes, optimise supply chains, or forecast customer churn, enabling faster, smarter decisions.
Self-Service Analytics
Self-service analytics platforms empower employees at all levels to explore data independently. “This reduces reliance on centralised data teams and fosters a data-driven culture,” the leader notes. Organisations adopting these platforms see a 30% increase in employee engagement with data (Forrester, 2023).
Data Governance and Privacy
Data security and compliance are critical, particularly in healthcare. “It’s crucial to balance accessibility with security to protect sensitive information,” the leader explains. Robust governance frameworks safeguard data integrity, maintain trust, and ensure regulatory compliance (Esri, 2024).
Recruitment Challenges in Data and Analytics
A Highly Competitive Talent Market
Recruiting skilled professionals is challenging. “There’s a high demand for candidates with expertise in advanced analytics, AI, and machine learning,” our interviewee says. Top candidates often receive multiple offers.
Evolving Skill Sets
The skills required are constantly shifting. Organisations need candidates who can work with current technologies while adapting to future advancements. Continuous learning and flexibility are highly prized (McKinsey, 2024).
Finding the Right Fit
Cultural alignment is just as important as technical skills. “A role in healthcare is very different from one in finance,” our interviewee notes. Organisations must assess industry knowledge, interpersonal skills, and cultural alignment when recruiting (McKinsey, 2024).
Balancing Operations and Innovation in Healthcare Data Teams
Integrating Innovation into Daily Work
Balancing routine responsibilities with innovation is a constant challenge. “It’s important to step away from daily tasks to attend conferences or webinars and see what others are doing,” the leader shares. Organisations that prioritise innovation are 1.7x more likely to achieve above-average performance (McKinsey, 2024).
Collaborating Across Teams
Collaboration is vital. The team holds stand-ups three times a week, along with weekly planning sessions. Clear roles, communication channels, and documented processes prevent bottlenecks and foster team cohesion (McKinsey, 2024).
Managing Stakeholder Expectations
Stakeholders increasingly expect real-time insights, predictive analytics, and actionable recommendations. Effective communication and realistic goal-setting are key to meeting these expectations (McKinsey, 2024).
Fostering a Culture of Change and Innovation
Creating a Learning Environment
Continuous learning is essential. Teams embrace experimentation, collaboration, and knowledge sharing. “We encourage innovation, support risk-taking, and celebrate successes to create a safe environment for growth,” the leader shares (McKinsey, 2024).
Providing Resources and Support
The right tools, training, and technical support are critical. “Aligning with organisational goals while setting achievable milestones helps drive continuous improvement,” the leader explains (McKinsey, 2024).
Key Takeaways for Data and Analytics Recruitment
Prioritise Adaptability: Hire candidates who excel in current tools and can embrace emerging technologies.
Emphasise Cultural Fit: Align hires with organisational values and industry requirements.
Partner with Experts: Collaborate with recruitment agencies specialising in data and analytics to secure top talent in a competitive market.
Is Your Data and Analytics Team Ready for the Future?
At Frazer Tremble, we specialise in recruiting skilled data and analytics professionals who can help your organisation navigate the complexities of today’s data landscape. From AI and machine learning specialists to data governance experts, we connect businesses with talent that drives innovation and delivers results.
With our expertise in the data and analytics sector, we help organisations build high-performing teams tailored to their unique needs. Contact us today to learn how we can help you stay ahead in the competitive talent market.
