Ad hoc analysis is a type of analysis that is performed on an as-needed basis without a predefined plan or structure. Ad hoc analysis is often used when there is a need to investigate a particular issue or answer a specific question, and it can be a powerful tool for gaining insights into data quickly and efficiently.
But ad hoc analysis can be time-consuming and challenging without automation, especially if you are dealing with large datasets.
In this episode of The Role Forward, Joel Blachman, an operations and finance lead at Amper Technologies, gets into the importance of automation tools while doing ad hoc analysis and answering ad hoc requests. Joel and our host Joe Michalowski discuss the ad hoc analysis treadmill, the challenges of responding to last-minute requests, and how Amper Technologies raised their Series A.
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Guest-at-a-Glance
đź’ˇ Name: Joel Blachman
đź’ˇ What he does: Joel is an operations and finance lead at Amper Technologies.
đź’ˇ Company: Amper Technologies
đź’ˇ Noteworthy: Joel has been working as an operations and finance lead at Amper Technologies for four years. While studying industrial engineering at Northwestern University, Joel was part of their startup incubator, The Garage, and worked at different manufacturing technology startups. During a research project, Joel came across Amper Technologies, founded out of The Garage in 2016. He started interning there one summer, stuck around throughout school, and upon graduation, joined full-time in a finance and operations role.
đź’ˇ Where to find Joel: LinkedIn l Website
