
It’s a golden age of business data - or is it?Business Data has never been as available – perhaps even as unavoidable – as it is today, with every expense tracked, every transaction sliced and diced, and every client described down to the finest nuances of their purchasing history and personal preferences. ![]() Mike Saunders, CEO of Digitlab explains the findings of the third annual State of Digital Survey (Image supplied) In many ways, it’s a golden age. But there’s a growing gap between the businesses that use this data to hone their strategies and improve their performance, and those that only think they do. There is a sharp divide between data-driven businesses and those still guided by instinct or budget constraints. How does good data drive confident decision-making? What’s the ROI on investments in data confidence? In its third annual State of Digital Survey, Digilab reveals how data improves business confidence, and confidence drives growthThe Survey explores the differences between stats-driven businesses and the rest. And one of the key differentials is confidence: when a business has confidence in its data, it uses this data more effectively, improves its results, and outperforms its competitors. Defining the differencesA major finding from the survey is that there is a sharp divide between data-driven marketers and those still guided by instinct or budget constraints – and this difference may be simply stated as confidence.
In essence, data builds conviction. It enables marketers to act decisively, trust their instincts, and maintain focus on business goals rather than competitor movements or short-term trends. ![]() (image supplied) Confidence is a business toolWhen businesses have confidence in their decision-making processes, they are able to innovate quickly and achieve first-mover advantage in a market. They are also able to pivot more quickly when the data reveals that a strategy or tactical approach is not working. Confidence in decisions means that sufficient resources will be allocated to their execution – increasing the likelihood of success. It also means decision-making is more objective: data-driven confidence reduces the likelihood of such errors as confirmation bias. Not all data is created equal, however. Poor-quality data can result in poor decisions, so it’s critical that businesses cleanse, validate, and maintain their data regularly. They also need to ensure that it’s easily accessible. And most critically, they need to invest in technology and processes to integrate their data sets into a single cohesive source that gives them a clear and realistic view of their operations. What’s the ROI?When it comes to data confidence, the better question may rather be: what’s the cost of not investing: lost time, wasted investments, an unbalanced or irrelevant product offering, and poor customer retention. There is no fixed formula for return on investment in data confidence, as it depends on many variables – including the investment in the resources required, and the nature of the business itself. However, ROI on data confidence is a function of several very predictable and in some instances, measurable key drivers:
As AI is adopted and integrated into decision-making, quality input data also improves the ROI on these new technologies. Striding with confidenceBusinesses that invested early in data confidence have generally outperformed their competitors. But it’s never too late, and as AI matures and data becomes increasingly available, these investments are more affordable. An investment in data confidence is perhaps the most effective way to grow your business. About Mike SaundersMike Saunders is the CEO of Digitlab. View my profile and articles... |