Private Beta Feature
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While visual analytics like charts and graphs provide an immediate, visual understanding of data trends and patterns, they can sometimes lack the specificity and context needed for thorough comprehension. Additionally, stakeholders, especially those without a background in data analytics, might find it challenging to interpret raw data or visualizations accurately, leading to potential misunderstandings or missed opportunities.
GoodData introduces “explain visualization” as a bridge between raw data and actionable insights. Explain visualization employ advanced algorithms to convert intricate data patterns into comprehensible narratives. These auto-generated textual descriptions not only break down complex data visualizations but also provide nuanced context, ensuring that insights are accessible, relatable, and actionable for a broader audience.
Explain visualization interprets charts and graphs to provide contextual explanations. Whether it’s a sudden spike in sales or an unexpected dip in user engagement, explain visualization provides a coherent story that underpins the visualization.
Customize the depth and detail of the generated narratives. Whether you want a concise summary or an in-depth analysis, explain visualization adjusts its outputs based on user preferences.
Seamless Integration with Visual Analytics:
Explain visualization is seamlessly integrated within GoodData’s analytics environment. With a single click, convert any chart or graph into a structured narrative, ensuring that your insights are both visually appealing and textually comprehensive.
As your data evolves, so do the narratives. Explain visualization ensures that the generated descriptions remain in sync with the underlying data, providing real-time and relevant insights.
Expand your analytical reach across linguistic boundaries. Explain visualization supports multiple languages, ensuring that your insights are accessible to a global audience.
Make the Most of explain visualization
To enhance the accuracy and relevancy of the narratives, it’s recommended to maintain clean and well-structured datasets. Ensure that your visual analytics are labeled correctly, as explain visualization uses these labels to generate contextual narratives.