Strategic Planning With Power BI And Data Write Back

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Data analysis is the most significant part for businesses right now. Having interactive data visualizations, business executives can identify future decision trigger points and prepare for actions accordingly for competitive advantage.

Additionally, to help with the strategic planning, you can use the write-back functionality too. It works like storage and allows users to cascade new high-level predictions and scenarios. Users can gain insights smoothly by utilizing existing business patterns, seasonality, or breakdowns by goods, business units, cost centers, and departments.

Can Power BI write back?

Write-back allows changes in the analytical system to reflect in the database in real-time. The good news for Power bi users is that they can use it to write back data in their current databases. Power BI allows you the option to write back comments to existing tables in the database. You will need Power Apps or a third-party integration service to write back data from your Power BI instance to a central data model or visual storage.

Writeback is a crucial concept for analyzing and forecasting data. It allows the end-user to easily update the database without getting out of the analytical system. In some cases, you can perform Power BI write-back with Power Apps.

Power bi 2020

Data write-back use cases

The data in the cache is known as fresh when a data location is updated in write-back mode, whereas the matching data in the main memory, which no longer matches the data in the cache, is referred to as stale. The cache controller changes the data in the main memory before the application program accesses it if a request for stale data in the main memory comes from another application program.

Writing data into cache alone takes less time than writing the same data into both cache and main memory, so writing back improves system speed.

The top-line business unit numbers can be changed, and the data write-back functionality automatically splits back the data across all cascading departments, products, and accounts depending on historical trends. Power BI can visualize variations in top-down settings to support essential choices.

The capacity to generate new forecast versions using a combination of actuals, YTD and prior predictions is one of the main advantages of data write-back in Power BI visualizations. This is accomplished by transferring business trends from the actual and planned month’s fusion. The write-back data function is then utilized to keep the business patterns consistent while incorporating fresh information, new chances, or adjustments to expense plans.

What-if analysis analyzes shifting business aspects by geographic regions, such as new product releases. While modeling decision scenarios for expanding new goods, brands, and branches when executing market entry decisions, data write-back can play a crucial part in Power BI visualization. Break scenario planning enhances product viability analyses such as cost volume profit and break-even analysis.

What is the most suitable way to implement write-back in Microsoft Power BI?

Navigate to the Power Bi strategic planning. Here you can see the visuals of all the data analytics on revenue, brand scenario, and according to the different regions. 

What is the best way to implement write-back in Microsoft Power BI?

First, create a new product by clicking on Add brand. Give it a name.

Add brand

Provide detailed information about the data and data sources of the brand you are creating. Enter the cost and other details according to the region and then “Update.”

Update

Once you have updated the information about the project, create a New scenario by clicking on Add scenario. It is to help us analyze the product launch. Now, run the scenario. 

New scenario

Now, update the brand modeling for a test run. Here, you can change the values according to your brand, and its planning and background work. 

update the brand modeling

Now, go back to Power Bi and look for the final data visuals after changing the brands’ modeling and sales values. 

Check what charts are predicting for your new product. 

New Product

Now, you can compare the graph you had at the beginning and the one you have now with the updated data. 

Strategic Planning With Power BI and Data Write Back

Get in touch

If you are looking to add the power bi data write-back functionality and improve your predictions, DFSM can help you implement power BI for it. Otherwise, you can also avail the consultancy facility for the smooth implementation of native power apps and power platform. 

dfsm team

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