What is ad hoc analysis?

Ad hoc analysis is a term used to describe the process of performing analyses on an as-needed basis, rather than as part of a pre-defined, ongoing analysis plan. It involves examining data in an ad hoc manner, often in response to a specific question or problem.

Ad hoc analysis can be used to explore data, uncover patterns or trends, and gain insights that may not have been apparent during initial data collection or analysis. It allows for a more flexible and dynamic approach to data analysis, as analysts can adjust their focus and methods based on the specific needs of the situation.

Ad hoc analysis is commonly used in business intelligence, data mining, and market research, among other fields. It can help organizations make informed decisions, identify opportunities for improvement, and address challenges in a timely manner.

One key benefit of ad hoc analysis is its ability to provide quick and actionable insights, without the need for a pre-defined analysis plan. However, it can also be more resource-intensive and time-consuming, as it requires analysts to be able to quickly access and manipulate data in real-time.

Overall, ad hoc analysis is a valuable tool for organizations looking to gain a more in-depth understanding of their data and make data-driven decisions in a flexible and responsive manner.