Introduction:
Microsoft Power BI is a software or set of tools that helps in advanced data analysis. Data analysts consider Power BI the most useful tool of all time for managing and analyzing data. The Power BI analysis process is faster and more accurate. It is also compatible with other Microsoft tools. The Power BI dashboard must be optimized to have better performance and an accurate result.
Why Do We Need Optimization?
Power BI users always believe that the result produced will be accurate data, but if the result is not accurate, then it will be a waste of time. To meet this expectation of the user, we should focus on optimizing Power BI to improve its performance and to obtain accurate results. We are going to discuss all four ways to convert your basic dashboard into one of the best Power BI dashboards.
1. Optimizing the Data Models:
- Data Models: The first step is to organize your data models to make your Power BI dashboard more efficient. The efficiency of your result directly depends on your data models. So, you should spend more time and more focus while creating your data model.
- Avoid Errors: Users should always be careful while creating dashboards to avoid errors. Whenever a user works on data models, there should not be any mistakes. Desk expression is a tool used to check and analyze performance and find a fault if there is any. Some common problems that a user should avoid are error functions, column references, tree test functions, and calculated column expressions.
- Power BI Dashboard Format: Format is a very important part of designing data models. The user should add a data category for columns and should not summarize numeric columns. The first letter of every sentence must be capitalized. The description should not be messy and should be visible clearly for a better understanding of the table. Columns must not contain any unnecessary data that is not being used. Strings should also be sorted, and objects should not start or end with a space. Correct formatting of dashboards is required for better performance.
- Maintenance and Performance: Maintenance directly improves your performance. The table should have the right and useful data. All the data should be relevant. Data should be filled in proper columns to avoid a mess. Objects with no description should be removed from the data sources and not referenced by any partitions. Power BI reporting should be done if any columns or data have not been used in calculations. You should remove unnecessary columns that will help you to load the data quickly.
2. Optimizing Power BI Dashboards:
- Audience: Create your Power BI dashboard according to your target audience. Users should know what their audience requires. What key factors will be helpful for them to understand your dashboard quickly and easily? Keep it simple and audience-friendly for a better decision-making process.
- Display: Dashboards should be designed simply so that all important information is displayed on a single screen. This revision maintains clarity and proper grammar while conveying the same idea. It will be best if you can avoid using scroll bars on your dashboard. Display it in full-screen mode without distractions. Your Power BI KPI dashboard text or data should be in the proper size and font so that the reader can easily read and understand all the important information.
- Data Vision: The right data picture is very important in Power BI dashboards. The Power BI inventory dashboard should include this if you are dealing with business data. For example, for stock re-orders and short-term cash reviews, the most important information on the Power BI dashboard should be clearly visible to the reader. It is important for representing data in static form, for example, a bar graph, pie chart, or line graph.
3. Optimizing Power BI Reports:
Filtering the Data: Filtering the data can reduce your load while creating the Power BI dashboard. Whenever we process huge amounts of data in multiple rows, it creates huge demands on our memory. To avoid this, users should always use a top-end filter to reduce the maximum number of items that the table displays.
- Report Page: Report pages are very important in Power BI KPI dashboards. Never create a mess on your report page with unwanted data. Information in the Power BI KPI dashboard should be limited and informative. You can use KPI cards or charts to represent complicated and static data.
4. Optimizing the Environment:
Optimizing the environment improves the optimization of Power BI dashboards. It helps in managing data size, size of gateways, and network latency. It helps you represent your data in a more readable format with basic effort.
- Gateway Sizing: A gateway is required when the user must access the data available on the internet. That means you must connect your on-premises data to your online or power-based services. To make this connection, you require a gateway to refresh your data. You can also install the on-premises data gateway on a server or hosted infrastructure as a service.
- Network Latency: Network latency can impact Power BI financial reporting. It helps improve performance by increasing the time required for requests to reach the power base service. Power BI services keep the data source gateway and your Power BI cluster close. Power BI uses Azure speed test, to provide a network connection between the client and the Azure region to minimize the impact of network latency.
Best Power BI Dashboards:
1. Power BI Inventory Dashboard
A dashboard is used to determine the inventory value and purchase history. It helps in calculating restocking costs. It is useful in managing inventory and allows us to analyze key vendors.
2. Power BI Financial Dashboard
This dashboard allows financial professionals and business owners to analyze the overall performance. It helps in determining the financial health of an organization. It keeps track of progress. The dashboard shows relevant financial KPIs. It helps in analyzing salary, profit or loss, and expenses.
3. KPI Dashboard in Power BI
This dashboard is focused specifically on analyzing business. It helps in monitoring monthly performance, sales, and growth. It also helps in tracking active customers.
The Power BI dashboard is important for attracting audiences because it provides important information to its users. If you want to create the best Power BI dashboard, it’s important to keep all the above-mentioned steps in mind during the design process. Power BI dashboards help businesses in multiple ways. For example, data storage, customer analysis, and tracking monthly progress. It provides a different feature that makes your data easier to use.
Conclusion:
Power BI is a combination of software and tools. It contains different tools for different purposes. It helps in analyzing data and getting a better image of that data. We discussed the important steps for your Power BI dashboards to optimize their performance. It includes all the features, starting from the presentation of data to the analysis of that data. It helps you understand different tools with their detailed features.
