Digital Transformation: You're Doing it Wrong
Data Insight
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In today’s business landscape, the term "digital transformation" has become commonplace, especially in New Zealand, where companies are rushing to adopt the latest technologies.
Yet, many organisations mistakenly view digital transformation as merely upgrading tech stacks or going paperless. While these steps are important, true transformation goes beyond technology—it requires data to fuel decision-making and a strategy to guide it all. This is where analytics transformation comes in.
While digital transformation modernises your tools and systems, analytics transformation is about harnessing the data generated by those tools and turning it into actionable insights. In this blog, we’ll explore what digital and analytics transformation really mean and why they must go hand in hand for success.
What is Digital Transformation?
At its core, digital transformation is about using digital technologies to improve business processes, customer experiences, and overall business models. It’s more than just upgrading your software—it’s about rethinking how your organisation operates in a digital-first world.
Some common examples include:
Many businesses end up focusing solely on technology, forgetting that without proper planning, strategy, and data, even the most advanced tech solutions can fail to deliver real value.
What is Analytics Transformation?
Analytics transformation focuses on making the most of the data your organisation generates. It’s the process of turning raw data into meaningful insights that can guide decision-making, help design new, or improved products or services, and mitigate risks effectively. It covers everything from ensuring data quality and governance to leveraging advanced analytics techniques to predict trends or optimise operations.
In New Zealand, the term “analytics transformation” isn’t as well-known as “digital transformation,” but it’s a crucial part of the process. Data and analytics helps organisations use technology, and move from simply collecting data to actually using that data to drive business outcomes.
Key components of analytics transformation include:
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Why They Must Go Hand in Hand
Many organisations focus heavily on their technology deficit—the gap between the tools they have and the tools they need. But implementing new technologies without a clear data strategy or quality data to support it can lead to costly mistakes.
McKinsey found that 70% of digital transformation initiatives fail, often due to a lack of alignment between technology and data (McKinsey & Company )
Without high-quality data, even the most advanced technologies can fall short of delivering their full potential. Therefore, businesses must prioritise data governance and strategy as much as technology investments to truly succeed in their transformation efforts.
Here’s why digital and analytics transformation must work together:
A holistic approach, combining both digital and analytics transformation, ensures that your business can make smarter, data-driven decisions that lead to long-term success.
If your organisation is focusing solely on technology, it might be time to rethink your approach.
Contact us to learn how we can help you align your digital and analytics transformation for sustainable growth.