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Dashboards

Top 10 Essential Types of Data Visualization

Data visualization helps people comprehend and attain insight into big data. It represents complex data in visually interesting ways that assist in our understanding, and paves the way for a greater link between the provided raw data, and our overall engagement with it. Nowadays, we accumulate data in ever-increasing sizes, so we need an intelligent way to understand such vast volumes of information. In analytics, we often use different types of data visualization to convey complex datasets.

7 Most Common Dashboard Design Mistakes to Avoid

Dashboards are an important data analytics tool for understanding business metrics and managing your business performance. However, if your dashboard is not designed well, it can be difficult to use for analysis, and ineffective for decision-making. Dashboard design should be simple and accessible, and reflect your company's branding and identity. Ensuring your analytical dashboard is readable, usable and accurate is heavily reliant on following best practice dashboard design.

How the modern data stack helps analysts avoid dashboard hell

The modern data stack promises greater agility for data teams, best of breed capabilities, and gaster time to market. But does it elevate the analyst's & analytics engineer career and bring joy back to their daily job? Dead end dashboards on a modern cloud data platform pigeon-holes analysts into repetitive, low-value work. Join ThoughtSpot co-founder and CTO Amit Prakash and Chief Data Strategy Officer, Cindi Howson for a real-time deep dive on how the modern data stack is elevating the analyst and empowering business leaders.

The History of BI Dashboards

Technology is always evolving, and so is the way we use it to collect and analyze data. From humble spreadsheet beginnings to fully automated business monitoring and AI-powered analysis, the range of analytics tools on offer today is astounding to consider. The business intelligence dashboard is one such option. It has existed for decades as a tool for organizations to monitor and analyze operational data - and it's not quite dead yet.