But for many organizations, taking advantage of these new opportunities using their current technology is very challenging.
Watch this video to learn about the challenges faced by IT.
One of the biggest issues with current IT landscapes is the inefficiency of the popular 'shift and lift data’ approach. As business systems generated more and more data from multiple sources, it was necessary to periodically move this data away from transactional applications into dedicated analytical systems. We did this so that data could be cleaned, consolidated and harmonized with data using specialist data integration software. This approach also freed up the transactional workload from the task of storing and processing huge volumes of data that was used only for analysis. But as a result, multiple copies of the data were created in various places during the movement phase. Even worse, there was latency between the systems while the data movement was pending. This meant that we did not have a consistent picture of data across the enterprise at any given moment, which meant decision making was challenging.