What Makes Data Intelligence More Intelligent

It is easier than ever for companies to capture data, but the work shouldn’t stop there. In order to turn raw data into actionable insights, organizations need to invest in their data intelligence. Without the right tools in place, employees can find themselves waiting to get the information they need to do their jobs — or never receiving it at all. In fact, recent ESG research found that 28% of IT professionals reported that it takes days to get insight into their data, and 45% reported that it takes weeks or longer. In today’s fast-moving digital world, real-time access to quality data is imperative for companies looking to stay ahead of the competition. By investing in data intelligence, it becomes possible to extract the full value of company data. The right data intelligence solution, with important visualizations such as data lineage or mind map relationship graphs, can help all organizational users easily find and understand the data within the enterprise. Companies need to be able to identify where their data is going and what programs need it to function; this can inform decisions around what needs to be streamlined and what should be prioritized. Critically, clever applications of AI and automation can also dramatically improve the business applications of your data. In this webinar from Quest and ESG, analyst Stephen Catanzano and data industry veteran Susan Laine will define what data intelligence really involves and give guidance on how to achieve this within your own organization. Tune in to hear more about: — How the use cases of data intelligence are evolving — Why global enterprises are replacing manually deployed SIs with automated data intelligence solutions — How erwin Data Intelligence by Quest fuels real-world results for data-driven organizations around the globe — And more