Definitions, best practices, and examples. This guide provides practical advice and analyst perspectives to help you create a best-in-class BI dashboard of your own.
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BI DASHBOARD GUIDE
What is a BI Dashboard?BI Dashboard BenefitsHow to Create a BI DashboardExamples by Job FunctionBI Dashboard Software Capabilities
A BI dashboard is a business intelligence tool which allows users to track, analyze and report on key performance indicators and other metrics. BI dashboards typically visualize data in charts, graphs and maps which helps stakeholders understand, share and collaborate on the information.
The best business intelligence dashboards make it easy to combine data from a variety of sources and to explore and analyze this data directly within the dashboard itself.
BI Dashboard Benefits
The main benefit of BI dashboards is to help organizations answer questions and uncover insights that help them make smarter, data-driven decisions.
Transform raw data into business insights
A true business intelligence dashboard turns raw data from multiple sources into actionable insights. This means that the dashboard must be built within an end-to-end solution that includes a data integration platform and a modern data analytics platform.
Improve data literacy
BI dashboards built on governed, trusted data allow all users across an organization to more easily understand and interact with data. This encourages a more data-driven culture at all levels of your business.
Help make your case
Simple butcompelling data visualizationshelp you make your case for important initiatives and secure approval from decision makers.
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How to Create a BI Dashboard
Here we discuss five key best practices toward creating a world-class business intelligence dashboard.
Integrate your data. Long before you can create a data dashboard, you’ll need to collect raw data and then turn it into clean, analytics-ready information. This means bringing together data from a variety of sources and performing data replication, ingestion and transformation to combine different types of data into standardized formats stored in a data lake or data warehouse.
Define your goals. Make sure to clearly define the business objective you’re trying to analyze, measure and optimize. For example, are you trying to identify new geographical markets to enter or determine which stage of your marketing funnel needs the most attention.
Keep visuals clean and simple. Tell a clear, compelling story with your data by keeping your visualizations clean and simple. Spend time up-front identifying the KPIs and relationships that really matter and then choose the graphs, charts, and maps that most directly present your story.
Allow exploration and collaboration. Self-service BI allows anyone in your organization to dig into the dashboards and find insights of their own. The best tools offer an associative engine which allows users to freely explore all connections within the data rather than being limited to linear queries.
Leverage AI. Modern BI dashboards incorporate augmented analytics, which uses artificial intelligence and machine learning to bolster human intuition by suggesting insights and analyses and allowing search and natural language interaction.
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BI Dashboard Examples by Job Function
Below are six business intelligence dashboard examples for specific roles.
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BI Dashboard Software Capabilities
A modernbusiness intelligence toolmakes it simple for you to produce custom, interactive business intelligence dashboards that go way beyond tracking KPIs and visualizing data. Here are five key capabilities to keep in mind as you evaluate BI dashboard software:
Easy Data Integration. A true BI dashboard tool is part of an end-to-end platform that includes both data integration and data analytics capabilities. This allows you to easily combine data sets from across your organization.
Full interactivity. All stakeholders should be able to easily explore and analyze data right from the dashboard itself.
Augmented analytics (AI). Today’s best dashboard software offers AI that suggests analyses for you to perform, and insights to gather from your data.
Fully functional mobile. You and your teams need to be able to work with your dashboards from anywhere at any time, with full touchscreen and interactive functionality.
Flexible cloud deployment. You should also be able to access and share your dashboards between on-premise and cloud analytics deployments. A flexible, multi-cloud architecture lets you scale your data while keeping governance and trust standards high.
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