Luka Jasionyte, from the marketing team at Snap Analytics, catches up with Tim Andrews, Head of Data Visualisation, to dive into his passion for data, spotlight emerging trends, tackle enterprise challenges, and uncover what truly drives client success.
What inspired you to get into data and analytics, Tim?
Solving problems has always motivated me. From a young age, I felt comfortable working with data sets and searching for insights that could make a difference. Turning raw information into something meaningful and actionable has always fascinated me. Helping to move the needle on complex business challenges is still exciting today. What I enjoy most is being part of something innovative, especially when we achieve what others thought was impossible.
What is the most exciting trend right now?
There is still a way to go, but I think the combination of AI, cloud data warehouses and modern analytics applications will mean much quicker time to insights and a more conversational style to solving business problems. This shift is making analytics more accessible, allowing decision-makers to interact with data in ways that feel natural and intuitive. It is not just about speed, but about enabling better collaboration and reducing the complexity that often slows progress. As these technologies mature, they will transform how organisations approach strategy and execution, creating a stronger link between data and real business outcomes.
What are some common data-related challenges that large enterprises typically face?
Large enterprises often face several recurring challenges with data. Processes frequently generate poor-quality data, making it difficult to use for analytics later on. There is often a lack of clear data ownership within the business, which leads to gaps in accountability and governance. Many organisations also struggle with insufficient skills to solve complex data problems effectively. Business subject matter experts rarely have enough time to contribute to data and analytics projects, which slows progress. Finally, there is a common lack of understanding about the importance of strong foundational data and business context when tackling advanced analytics or AI initiatives. Without these basics, even the most advanced tools cannot deliver the expected results.
What are the top client priorities for those looking to drive successful outcomes in data and analytics?
Clients who want to achieve successful outcomes in data and analytics tend to focus on a few key priorities. First, identifying the right projects is essential, particularly those with clear business value and strong potential for user adoption. Second, working with partners who can deliver high-quality, robust solutions that meet the brief on both outcomes and cost is critical. Finally, making it easier for the business to solve complex problems and maximise the use of existing technology ensures that investments translate into measurable results.
Why Snap Analytics?
I tell my delivery team that our goal is simple: to become our clients’ favourite partner. We achieve this by being innovative, accountable, transparent and trustworthy in everything we do. I believe we are living up to that ambition and continue to strive for excellence every day.
