Insights can inform almost any decision. The challenge is in uncovering them in a suitable timeframe, and the move to data-driven cultures is only helping.
Being “data-driven” is often surface-level — Many companies invest in data tools but lack the culture, processes, and data literacy to truly capitalize on insights.
Business outcomes must guide transformation — Data initiatives should align with strategic goals, not operate in isolation or serve gut-based decisions.
Enterprise data literacy is critical — Empowering people at all levels to understand and apply data effectively is the real unlock for better, faster decisions.
Data now more than ever needs to stand up and be counted. Decisions need to be informed, strategies adopted, and new opportunities identified – hence the almost frenzied search for insight amid the detail. But there's a data readiness gap.. between the perception that data is increasingly well-controlled, managed, and exploited, etc., and the reality of current data cultures.
Global spending on technology and services for data analytics is around the $40 billion mark. Look elsewhere, and the numbers keep on coming:
Yet despite such investment, many executives still admit that they’re not making the most of the data at their disposal. For example, a Deloitte report on the topic suggests that the majority of businesses are not insight-driven. At the same time, 67% still lack basic data infrastructure – and continue to work in silos.
However, the gap between perception and reality is less about technology and more about internal processes and culture. It also looks at the behaviors that such a gap produces and names the worst offenders:
Such behaviors also help show that being data-driven isn't enough by itself. Certainly, it’s an enviable goal, but as organizations pivot toward a new reality, the emphasis also needs to be on ensuring digital transformation projects are business-driven.
For example, one such project could be aimed at digitalizing the complete purchase-to-pay process. This would certainly make sense for delivering a more responsive and efficient finance function.
But creating the data alone should not be considered a worthy use of resources. Instead, thought should also be given to the business processes that can be optimized because of the activity – or aligning the insights now available with broader strategic objectives.
However, embedding a more robust data culture can be easier said than done. Certainly, such an initiative needs to be driven from the top down. Otherwise, it’s difficult to avoid treating data as a resource or commodity that’s only relevant to specific parts of the business.
Gaining executive buy-in, though, is made easier by the provision of a sizeable carrot: the ability to make better decisions. Hence the importance of improving data literacy at all levels of an organization, a task that, according to Gartner, should ideally be driven by the Chief Data Officer (in fact, they believe around 80% of companies have already made a start).
What’s more, data literacy is essential because it helps extend the utility of corporate data. It also helps companies review the information resources currently available to them – and to recognize what’s valuable and what’s not fit for purpose. Responding to the next significant business disruption will be a lot easier if insights are available at EVERY point of need, if they’re accurate, trusted, and (just as importantly) understood!
Data comes at a cost. Organizations have to pay for their collection, cleansing, hosting, and maintenance, as well as the salaries of data engineers, scientists, and analysts. However, such investments can be called into question when the insights are not immediately available to support businesses through particularly trying times.
It should always be kept in mind that insights can inform almost any decision. The challenge, of course, is in uncovering them in a suitable timeframe, and the move to data-driven cultures is only helping in this regard. Add in technologies like Syniti Knowledge Platform and its ability to help build, structure, and share information, and it’s a task that’s getting easier by the day.
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