Designing Power BI common data slicers with search functionality for huge data sets is quite challenging in terms of usability and performance, so some consideration is needed. Here is how to do it:
Utilize a Searchable Slicer Visual: Slicer visuals in Power BI that offer search-enabled Slicers are possible. To deploy one, drop the slicer to the report, link it to the matching attribute, and turn the Search feature on. This feature enables users to search and scan for specific values by just typing them, which is vital when looking at long lists.
Refine the Data Model: System performance may also come under stress, especially with systems carrying a large volume of data. To counter this, consider reducing the slice data source to include only relevant fields and rows by using filtering techniques or constructing algebraic aggregates. This way, the slicer is efficient and does not load too much data, which may be unnecessary to the user.
Improve User Experience: In situations where the data consists of sets or parent-child relationships, you may consider partitioning the information or incorporating hierarchical slicers. For example, a hierarchical slicer allowing the selection of Region > Country > City enables the user to select levels rather than scroll through an endless list. Place and custom design of a slicer will include the size and type of font to use, as well as the background, among other aspects, to make it easier to use and more attractive.
By employing these techniques, you can create a filtering experience that is both interactive and easy to use and manages a large amount of data well.
