Hide Dropdown from the 12 Month Sales Forecast and eSign it in minutes

Aug 6th, 2022
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How to Hide Dropdown from the 12 Month Sales Forecast

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- Ciao friends. In this video I want to introduce the SELECTEDVALUE function in DAX and show you a couple of examples where it proves to be useful. SELECTEDVALUE is a useful and powerful function, and once you learn how and when to use it you will find a lot of different scenario where it makes a lot of sense to use it. But as with all the DAX function, you need to understand exactly what it does in order to use it properly. Lets start by looking immediately at the scenario where SELECTEDVALUE is useful. Look at this report. Im showing the product name, the sales amount and the product class all in the same report. Now, this visual is currently a table. Being a table I can put columns coming from the product table, like I did here, I put the class and the product name, anywhere in the report. So the product class is here beside the sales amount. What if I want to transform this table into a matrix? I can do that. I just go there and transform that into a matrix. Now, the product clas

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Challenges of the rolling forecast Implementation of a rolling forecast model can also prove to challenge as it requires frequent real-time data input from across the business, further hindered by an overreliance on error-prone spreadsheets and manual, labor-intensive processes.
A rolling forecast that includes key drivers is more than a prediction a scenario-planning tool. The drivers are the key metrics that attribute (or will likely attribute) to the business success (and the accuracy of the forecast).
Unlike a traditional annual budgeting approach, a rolling forecast is typically updated monthly or quarterly, and has a forecast period 12-24 months out.
On the Data tab, in the Forecast group, click Forecast Sheet. In the Create Forecast Worksheet box, pick either a line chart or a column chart for the visual representation of the forecast. In the Forecast End box, pick an end date, and then click Create.
Best practices for implementing a rolling forecast Identify the strategic goal and begin with that goal in mind. Determine the stakeholders who need to contribute. Consider the time horizon and time increments needed to achieve the stated goals. Identify quantitative and non-quantitative elements.
By using Predictive Analytics, you can produce more accurate by-SKU-by-store demand forecasts even when you have no sales history. Predictive Analytics automatically generates a forecast based on a new products attributes rather than on the product as a whole.
Unlike a budget or calendar year forecast, a rolling 12-month forecast adds one month to the forecast period each time a month is closed so that you are continuously forecasting for 12 months. This enables continuous planning of future performance based on actual performance.
Steps in Creating Rolling Forecasts Identify the objectives. Consider the time frame. Determine the level of detail. Identify the contributors to the process. Identify value drivers. Verify the source of data. Create scenarios and sensitivities. Measure actual and estimated forecasts.

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