Here’s an example.
Let’s say your business is losing customers. The question of “why” can be answered looking at various sets of data. Specific product lines can be examined to see which ones are dropping customers. Customer
service results can be explored.
Even sets such as social media comments or customer satisfaction surveys can be analyzed to provide a layered look at the reasons “why”.
The display of the results of ad hoc analysis is also customizable and can be different than other BI reporting. Ad hoc data can be more visual than standard reports, for instance, because it provides results of a single
query. This can make it more user-friendly.
What are the Benefits of Ad Hoc Analysis?
Let’s dig in to explore some benefits to using ad hoc analysis:
- Quicker decision making: When business users can get answers to their questions “on the spot”, business decisions can be made more quickly.
- Flexible: Quicker also means more flexible, as users can adapt queries based on the ever-changing business environment. Additions and edits can be made in real-time. Users ask questions that fit their
- “Fresher” data: Quick and flexible also means fresh. When users have a question and get the answer they need, they could be getting analysis that hasn’t yet been provided in other reports.
- Easy to use: Reports are usually visual and answer easy to understand, which also aids in faster decision-making.
- Reduction in the workload of IT staff: If IT typically handles your bigger BI reporting, ad hoc analysis allows for queries and analysis to be done by the business user. This frees up IT staff for other
- Works in conjunction with other reporting: Ad hoc reporting can provide a quick answer in its own report, without waiting for regular, standard analysis. But the two work together. They each have their
own purpose, with ad hoc reporting providing a different level of insight to support good decision making.
Ad Hoc Analysis in Action
By now you’re probably wondering:
What does this look like in real life?
Let’s take a look at ad hoc analysis in healthcare. This is an ideal field for the use of ad hoc analysis, for several reasons.
For one, healthcare professionals are not IT professionals, so being able to simply access the information they need is ideal. Secondly, speed is important. Users need access to accurate and timely data to allow for
Healthcare professionals can benefit from easily digestible reports providing answers to specific questions, such as a query about blood test results. Being able to get the information needed when the question arises,
without waiting for IT support or for a regular reporting cycle, can be a powerful tool in this sector.
Running ad hoc analysis on big data sets has the potential to provide benefits to healthcare in areas such as reducing the need for return visits or preventative medicine.
Ad hoc analysis can provide many benefits to support the success of businesses and other sectors like healthcare.
When specific questions arise, it’s powerful to get the analysis needed to allow users to understand the causes and make decisions that lead to improvements.
Ad hoc analysis can supplement other BI strategies for the betterment of the business.