Ep. 194 - The Job of Business Finance - Part 3 [Business 300]
FLF, LLC
FLF, LLC
4.7 • 957 Ratings
🗓️ 11 June 2025
⏱️ 4 minutes
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Summary
In the last episode, I mentioned the first 2: Data and Analysis.
This brings us to the 3rd value-add: Insight. With the data collected and turned into information through analysis, now the job of finance is to delivery insight.
Transcript
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| 0:00.0 | Hello and welcome to Business 300. My name is Philip Kulenshov and this is 300 |
| 0:11.9 | seconds about business. We're all a busy people so I have five minutes or less to get my point across. |
| 0:23.9 | There's no time for fluff here. |
| 0:29.9 | We're talking about business finance adding value to the customers and the business, instead of detracting from it. |
| 0:32.9 | I have four value ads that should come out of finance. |
| 0:37.3 | In the last episode, I mentioned the first two, data and analysis. Data is things like transactions and financial statement accounts. |
| 0:41.3 | Think revenue and expense logs. |
| 0:43.3 | A more detailed explanation of what composes those accounts, think product type and labor categories, |
| 0:48.3 | and productivity metrics. |
| 0:50.3 | Think quantity, quality, and timing. |
| 0:52.3 | Data collection can be endless, so it's important |
| 0:55.3 | to understand which decisions you're after and collect the data that is relevant. Analysis, |
| 1:00.7 | the second value add, is turning the data into information by making connections. You've taken |
| 1:05.8 | measurements, but what does it mean? How do the metrics relate to the KPIs? It's not just about |
| 1:10.8 | collecting relevant |
| 1:11.6 | data, but also having relevant analysis. And this brings us to the third value ad, |
| 1:16.6 | Insight. With the data collected and turned into information through analysis, now the job of |
| 1:21.6 | finance is to deliver insight. What's the story that this information is telling? What are the trends, conclusions, |
| 1:28.8 | and likely scenarios? If we keep going at this rate, this is what will happen. Yes, nobody's a |
| 1:34.5 | fortune teller, but based on their data-driven analysis, finance people should be able to have |
| 1:39.3 | more reliable predictions. It's work to dissect and understand the condition of the business, |
| 1:45.2 | especially if the business is larger and more complex. Based on our sales volume, product mix, and the cycle time of |
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