When Should You Automate Data Analytics? You might be tempted to say "right away" to this question, but not all data are created equal. If you have a single analytical project that is reliant on properly modeled data, there may not be enough justification to put in the time to create automation. However, when you have recurring processes, such as creating data models that power dashboards for groups of employees and need to be updated daily, weekly, monthly, or quarterly, those are great candidates for automation of the data pipeline and analysis. Yet even here, it is possible to go too far with automation. When that happens, you may be missing new insights because the data is getting filtered out for an older use case. The key is knowing just how far take data automation and then turning that over to human intelligence. for more information Eagle Insight
