In large datasets, crucial information can be obscured by less relevant data, making it difficult for even the most experienced analysts to detect synchronized events. Caseboard’s Temporal Patterns tool automates the search for these hidden patterns, enabling you to identify recurring events over time, even when they are embedded in disconnected or seemingly unrelated data.
Whether it’s phone calls, financial transactions, tax records, system logs, or travel data, Caseboard can reveal invisible synchronized patterns within any temporal data. Time Pattern Analysis automatically detects events that recur over time, analyzing them together—even if they are thematically distinct or unconnected—to expose synchronized actions, modus operandi, and suspicious behavior.
Whether it’s phone calls, financial transactions, tax records, system logs, or travel data, Caseboard can reveal invisible synchronized patterns within any temporal data. Time Pattern Analysis automatically detects events that recur over time, analyzing them together—even if they are thematically distinct or unconnected—to expose synchronized actions, modus operandi, and suspicious behavior.
Parameterized Searches
Tailor Searches to Fit Your Investigation Needs
Analysts can customize their searches for temporal patterns using a variety of parameters, such as time intervals in seconds, minutes, hours, or days, and set thresholds for the minimum number of occurrences or repetitions. This flexibility allows you to adapt your search criteria to the specific needs of your investigation.
Disconnected and Distinct Data
Analyze Temporal Patterns Across Unrelated Data
Caseboard allows you to search for temporal patterns across any type of data, without requiring pre-existing links between them. This capability lets you analyze and correlate diverse information types, providing a broader perspective on your data.
Disconnected and Distinct Data
Analyze Temporal Patterns Across Unrelated Data
Caseboard allows you to search for temporal patterns across any type of data, without requiring pre-existing links between them. This capability lets you analyze and correlate diverse information types, providing a broader perspective on your data.
Pattern View
Visualize and Cross-Reference Detected Patterns
Once patterns are identified, you can visualize them directly within the Link Analysis tool. This feature enables you to cross-reference multiple patterns, deepening your understanding of the data and uncovering complex relationships that may have been previously overlooked.