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I'm analyzing {{GL Transactions for 2024A FY:Excel}}, {{Raw Data for 2024A FY:Excel}} to compare the year-to-date performance, focusing on segmenting by customer types and product lines. I'm also looking into {{Raw Data for 2023A FY:NetSuite}} to analyze key changes compared to previous years.
I'm analyzing {{GL Transactions 2024:Excel}}, {{Raw Data 2024:Excel}} to compare the year-to-date performance, focusing on segmenting by customer types and product lines. I'm also looking into {{Raw Data 2023:NetSuite}} to analyze key changes compared to previous years.
The largest product changes in 2024 were driven by DXY-2341, DXB-679, and ABZ-11. Margins for DXY-2341 dropped from {{$247.3K}} to {{$211.7K}} due to a drop in orders from customer AX-11 from {{1,100}} units to {{590}} (year over year).
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I am analyzing {{GL Transactions for 2024A FY:Excel}}, {{Raw Data for 2024A FY:Excel}} to compare the year-to-date performance, focusing on segmenting by customer types and product lines. I am also looking into {{Raw Data for 2023A FY:NetSuite}} to analyze key changes compared to previous years.
I'm analyzing {{GL Transactions 2024:Excel}}, {{Raw Data 2024:Excel}} to compare the year-to-date performance, focusing on segmenting by customer types and product lines. I'm also looking into {{Raw Data 2023:NetSuite}} to analyze key changes compared to previous years.
The largest product changes in 2024 were driven by DXY-2341, DXB-679, and ABZ-11. Margins for DXY-2341 dropped from {{$247.3K}} to {{$211.7K}} due to a drop in orders from customer AX-11 from {{1,100}} units to {{590}} (year over year).
I am analyzing {{Regional P&L information:NetSuite}} across all regions to calculate revenue, net profit, and net profit percentages. I am then analyzing {{Visit/Price Per Visit data:Excel}} and {{Evaluation Scores:Excel}} to understand satisfaction and additional success parameters.
I'm analyzing {{GL Transactions 2024:Excel}}, {{Raw Data 2024:Excel}} to compare the year-to-date performance, focusing on segmenting by customer types and product lines. I'm also looking into {{Raw Data 2023:NetSuite}} to analyze key changes compared to previous years.
Our analysis shows Clinic A and Clinic C are underperforming. Clinic A reached only {{72.5%}} of its {{$20K}} target, with a {{15%}} drop in retention, while Clinic C met {{77%}} of its {{$22K}} goal, reporting {{10%}} more cancellations.
I am analyzing {{Customer Usage Data:NetSuite}} to identify the most similar cohorts and then processing data from both {{Previous Changes:Snowflake}} and {{Cohort Growth:Excel}} to provide parameters for effect modeling.
I'm analyzing {{GL Transactions 2024:Excel}}, {{Raw Data 2024:Excel}} to compare the year-to-date performance, focusing on segmenting by customer types and product lines. I'm also looking into {{Raw Data 2023:NetSuite}} to analyze key changes compared to previous years.
The {{March 2024}} and {{August 2024}} cohorts have very similar first-month retention rates ({{~89.6%}}) to our newest batch ({{~89.9%}}).
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