Savanna’s full analysis tool suite enables you to:
Capture questions, hypotheses and assumptions, to create an analysis narrative with relevant data in context. It provides rich sourcing of data, all the way down to original documents, and tracks users who create or modify projects. Complex dossiers can be sourced line by line, and evidence or methodologies centralized with our whiteboard tool.
Users can quickly capture important “scenes” to reflect the status of the case, and help transform analytical findings into compelling visualizations and present actionable recommendations. Savanna automatically assembles these into a Production that can be further edited and published securely to the web, so professional-looking presentations are ready to go at a moment’s notice.
Sample Production →
Savanna’s “spaces,” dedicated, collaborative environments that provide teams with context for the problems at hand, ensure that relevant resources can be easily found, and simplify picking up where the work left off. Space content can be shared as needed, with specific teams or as a single private user.
All content in Savanna is fully indexed, and searches can be simple – a few keywords or a partial license plate – or complex, using filters based on metadata fields like content type, author, and date. Complex searches may be saved for reuse, or to drive alerting. Social media, news feeds and in-house databases can be connected and made searchable as plugins.
Savanna allows teams to fully customize and extend their knowledge model. Dossiers and templates can be constructed to represent any real-world person, organization, place, event, or thing. Working groups can choose their own level of modeling formality, from ad hoc fields on individual records to hierarchical ontologies that span the knowledge base. Adjustments to the model are easily made as analysis evolves.
Savanna’s underlying data structures automatically drive simple, powerful visualizations, allowing the same person or thing of interest to appear on multiple timelines, maps, or link charts without affecting the underlying data. These live data visualizations can then be used to explore related entities and build intertwining stories.
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