Power BI is a popular data visualization and data analysis tool, and under the recent wave of ChatGPT and AI, Power BI is inevitably indispensable to this AI feast. But long before ChatGPT and Copilot came out, Power BI already had several AI features that were quite easy to use. In this article, we will share with you 4 built-in AI features of Power BI to help you get more out of your data.
1、Key impact factor analysis
This is a built-in visual in Power BI that can be used to analyze the possible reasons for employee turnover, growth or decline. The data to be invested are the prediction items and the likely impact factors. The final result is a calculation of how much the probability of each possible impact factor will increase.
2、Anomaly detection analysis
This is a feature used on line charts to analyze the cause of the maximum value on the line line. However, this feature can only be used to detect anomalies on line charts, not on other charts. It is important to note that the points on this line chart cannot be too few, and the differences between these nodes cannot be too close, otherwise this AI anomaly detection and analysis feature will not be available. This function is very similar to the key impact factor, and it is also necessary to put in other possible impact factors.
3、Generate insights automatically
When we import the dataset into Power BI and publish it to the Power BI Service cloud, there is an option to automatically generate insights, which can directly generate multiple charts from the data, but these are the results of permutations and combinations, and whether it has management significance depends on human judgment. These large numbers of auto-generated charts can provide us with some inspiration for making charts.
4、Power BI：Q&A
Once we’ve imported the dataset into Power BI, we can use the Q&A visual to generate a graph from text. However, this feature is not like ChatGPT, which can easily detect human language, and must enter the correct keywords, such as the name of the data table, the name of the field, and the value inside the field, in order to display the chart correctly.
It’s worth noting that these keywords don’t have a precedence and a fixed syntax, as long as you enter the keyword glossary, you can present a chart. This AI function can help you store the frequently asked questions of the supervisor first, and when you report, you only need to click on the question to generate a chart.
All of the above features were available long before the launch of ChatGPT and Copilot, so the functions are quite mature. In the future, it will be more deeply integrated with Copilot, which can allow users to quickly produce charts and analyze problems in a more value-oriented way, so let’s wait and see.
KSCC is a management consulting company in Taiwan. Our services include corporate in-house training, consulting, and leadership management.For more information about our corporate services, please feel free to visit our website: https://kscthinktank.com.tw/custom-training/