Azure HDInsight

Well suited:

A tiny-mid sized company with no immediate plans of growing the volume of their data processing, that can afford long response times from support.
Also it helps if you are not prone to put your hands on Linux and Spark configuration. In fact, it can make things go really faster if you also work with the bundle-in Jupyter.
And, if you need to perform some diagnostics and / or administrative tasks, that's full of tools to find an understand the Root Cause. Ideal for non experts.
Less appropriate:
Big Data company, intense on demand cluster creation, mission critical, costs reduction, latest versions of libraries required, sophisticate customizations required.

If you want to save costs and just pay for what you use, I highly recommend it. It will help you also to work with data for your reports and analytics. on the other hand I think it could be the subscription you have but high volume of data make it slow but not so much. anyway I think it's really good because it's from Microsoft which always is friendly to use it as all the suit they have.

Why do you need legacy hard drives and storage and other software to present the data when Azure can manage it efficiently and is always available on-demand?

For the current purpose, it fits best. Save other costs in analytics and transforming high volume data.

Faster along with Pay for the service you used.
Extracting undiscovered information from big quantities of unstructured data was easy

For my purposes it is well suited, being marketing and advertising.