Enterprises continue to mature in the art of acquiring data whether this is structured or unstructured. But having data alone has proven to be no predictor of whether a business is successful at drawing insights from the data. 

Gartner says data-driven organizations struggle with increasing data diversity; its producers, consumers and distributed nature; and automation demands to relieve strained resources. As they look at data management solutions, care must be taken to look for solutions that provide agility, resilience and simplicity across the data landscape to increase business impact.

In this PodChats for FutureCIO, we are joined by Angel (Spanish) Viña, founder and CEO, Denodo Technologies for his take on the challenges organisations face in their quest to become more data-driven.

1.       How has data management evolved over the pandemic? What lessons can we draw from here?

2.       How can businesses build a strategy to best access and utilize their data as their operations become more complex? 

3.       In their best to better manage their data, what challenges will businesses face and Can you cite some typical mistakes organisations experience when managing data?

4.       Given the many different technologies and approaches to data management – for example, distributed vs centralized data management, how does an organisation decide what is best for them?

5.       We expect a slow but positive recovery in the years ahead. What is certain is that uncertainties are here to stay. How can decision-makers best prepare themselves to obtain faster access to high-quality data to make better business decisions?