Turning data into decisions: Why analytics is now a strategic priority for business leaders

Businesses are generating more data than ever before – from finance and operations through to customers, people and supply chains. Yet across New Zealand, many business leaders still struggle to turn that data into timely, trusted insights that genuinely inform decisions. 
 

“Many mid‑market businesses aren’t short on data or dashboards. What they’re missing is the ability to turn reporting into a clear narrative that drives decisions, action, and measurable return on investment.” – Neil Bryant, Associate Director, BDO Digital 

 
As economic conditions remain tight and expectations on performance, transparency and resilience continue to rise, data and analytics have moved from a “nice to have” to a strategic necessity for New Zealand organisations across the private and public sectors. 


From trusted data to better decisions 

For many businesses, reporting has traditionally focused on looking backwards; static reports, spreadsheets, and manual processes that take time to prepare and are often out of date by the time they reach decisionmakers.  
 

“A single source of truth is the minimum standard. The real value comes when data is shaped into a clear story that informs the decisions that matter most to the business.” 


However, Neil explains that there are significant benefits for today’s business leaders in taking an alternative view, reframing reporting as an enabler of insight-led decision making. 
 

“The era of AI has been beneficial in driving an increased focus on trust in the data, and creating data assets that can serve the business in the long run. While data quality and consistency are critical foundations, they are only valuable when they enable better decisions.” 

 

Why strong analytics matters now more than ever 

Across New Zealand, mid-market businesses are under increasing pressure to do more with less. 

The rapid adoption of AI and automation is raising the bar. Process automation, advanced analytics, and forecasting are no longer future-state capabilities; they are becoming baseline expectations for organisations that want to remain competitive and responsive. 

AI can only deliver value when it is built on trusted, well‑structured analytics that are already aligned to business decisions and outcomes. Without clear metrics, consistent data, and a shared understanding of how performance is measured, organisations risk applying advanced tools to poorly defined problems. Strong analytics foundations ensure AI and automation are focused on the decisions that matter most: providing leaders with insight they can act on. 

Neil recommends businesses seeking strategic insight move beyond reporting maturity and adopt a more intentional analytics journey, asking:  
  1. What are we trying to achieve? – How can we align insight efforts to strategic priorities and value drivers? 
  2. What decisions and actions influence those outcomes? – Let’s focus on decisions that materially affect performance. 
  3. What insight will guide these decisions? – Can we design analytics that directly inform action and trade‑offs? 
 

A practical, people centred approach 

Neil highlights that data and analytics transformations succeed when they are designed around the people who use them. Dashboards that align to how leaders actually make decisions, reporting that supports frontline teams, and trusted, timely insights are what ultimately drive adoption and demonstrate value. 
 

“Technology doesn’t drive insight – people do. When analytics is designed around how leaders and teams work on a day-to-day basis, adoption follows naturally and the organisation starts to see real, sustained value from its data.”  


With the right foundations in place, data can become a strategic asset that sets an organisation apart from its competitors, enables them to pivot instantly when customer needs change, and ensure that their team are focusing on the things that matter most. 
 

First steps for business owners 

“While it can be tempting to invest in new tools straight away, most business owners get better results by starting with the outcomes they want to achieve and building the reporting and analytics to support the decisions that drive them.” 


Here are Neil’s top tips for getting started: 
  1. Start with the business outcome. Be clear on what you’re trying to achieve over the next 6–12 months. Choose 2–3 priorities that matter most so your reporting and analytics efforts have a clear target. 
  2. Define the decisions and the insight you need. Work backwards from those priorities and ask: what decisions will move the needle, and what information would help you make them faster and with more confidence? Map the handful of metrics and views each leader needs to take action day to day. 
  3. Pick one practical use case to begin. Rather than trying to fix everything at once, choose a single, high-value use case you can deliver quickly. This creates momentum, aligns the business on what “good” looks like, and builds trusted data foundations you can expand into more advanced analytics and AI over time. 
 

How BDO Digital can help 

We work alongside organisations across New Zealand to help turn data into meaningful, actionable insight. From improving business reporting and establishing a single source of truth, through to building scalable analytics foundations ready for AI, our specialists take a pragmatic, outcome focused approach that delivers value at every stage. 

Talk to our team today for help with your first step towards smarter, insight-led decision making.

Key takeaways

  • Analytics is now a strategic priority for New Zealand business leaders as economic pressure and expectations for performance, transparency, and resilience increase.
  • Move beyond backwards-looking reporting: dashboards and spreadsheets only create value when they generate timely, trusted insights that support day-to-day and executive decision-making.
  • Trusted data and a single source of truth are the foundation for consistent KPIs, reliable performance measurement, and scalable reporting across finance, operations, customers, and people.
  • AI and automation depend on strong analytics foundations: AI-ready analytics requires well-structured data, clear metrics, and alignment to business outcomes—otherwise organisations risk automating poorly defined problems.
  • Start with outcomes, then design insight for decisions: clarify what you’re trying to achieve, identify the decisions that drive results, and build analytics that guides action and trade-offs.
  • Adoption comes from a people-centred approach: analytics succeeds when reporting and dashboards match how leaders and frontline teams actually work and make decisions.
  • Begin with one high-value use case to create momentum, prove ROI, and incrementally build a modern analytics and data platform that can expand into forecasting and advanced analytics.