Analyst in Action

Have you wondered how to increase the speed while using big data? The basic answer is to bring automation to your workflow. But the question is whether data automation alone is sufficient to improve business performance? In my previous job experience, I have come across this question and my research suggests that both of them need to work together in order to speed up the process while avoiding human errors. If you have recurring data or repetitive datasets which need to fill over different duration then these options prove out to be hefty for any business. Let's get a basic idea of data automation and data optimization before starting the battle. Consider you receive quarterly data and every time you need to enter the data manually and along with it you need to create a visualization from it. This workflow sounds like it will take a couple of days at least to narrow down the time taken and to reduce errors we use data automation. Data optimization is always been a pillar for data