When Excel Almost Cost Me My Internship
A first-hand account of relying too heavily on spreadsheets for financial analysis and what that mistake taught me about choosing the right tools early on.
Read moreSpecialist Series
Practitioners who work with financial analysis tools daily — what they actually use, where tools fall short, and what they wish they had known earlier.
Each interview focuses on one tool, one analyst, one honest account of what working with financial software is actually like.
A first-hand account of relying too heavily on spreadsheets for financial analysis and what that mistake taught me about choosing the right tools early on.
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An opinion piece on picking financial analysis software without understanding what it is actually built for, based on a real misstep during a student project.
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How trusting a forecasting tool without checking its default assumptions led to a flawed financial projection and a very uncomfortable meeting.
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An honest look at jumping into Bloomberg Terminal without preparation, and what that experience reveals about how beginners should approach professional financial tools.
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Why downloading a ready-made discounted cash flow model and using it without studying the structure led to errors that were embarrassing to explain.
Read moreEach conversation follows the same structure so you can compare tools and workflows across different analysts without losing context.
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We find analysts actively using specific tools in day-to-day work — not consultants with broad platform opinions.
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Questions focus on workflow details, real limitations, and what took time to learn — not general impressions.
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Responses are lightly edited for readability while keeping the specialist's original framing and terminology intact.
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No promotional language, no affiliate arrangements. The specialist reviews the final text before it goes live.
Reading about tools is a starting point. The workshops on Suranebot put you inside the software — structured exercises using real datasets, with step-by-step guidance from practitioners.
What trial includes
The trial gives you access to the first two modules of any workshop — enough to understand the pace, the tool depth, and whether the format suits how you learn. No payment details needed to start.
Most participants complete one module per week alongside a regular job. The exercises are designed around specific tools — Bloomberg Terminal data exports, Python pandas for financial time series, or Excel's built-in scenario analysis — so each session has a clear stopping point.
Participants working on valuation modelling reported spending roughly four to six hours per module when doing the optional extension tasks. Core exercises alone take closer to two hours.
"The Bloomberg module covered things my employer never formally explained. I just picked those habits up wrong from colleagues for two years."
— Participant, corporate finance role, CalgaryThe interview series started because course participants kept asking the same question: which tools do working analysts actually rely on, and how long does it take to get genuinely comfortable with them?
Generic software reviews answer the wrong questions. They compare feature lists. These interviews ask something different — what did you get wrong at first, and what do you do now that you could not do twelve months ago?
The goal is not to recommend tools. It is to give you a realistic picture before you invest time in learning one.
Each interview stays close to the software. We ask about specific functions, workflows, and friction points — not the specialist's general professional background.
Specialists work in different countries and regulatory environments. The same tool behaves differently depending on what data you need and which markets you cover.
Where a tool appears in a Suranebot workshop, we link to the relevant module so readers can move from reading about it to practising with it directly.