Data Dashboard

The Data Dashboard is DI’s entry point for discovery and ongoing monitoring. It brings market data, media coverage and social perspectives into one research environment, helping users identify assets and events worth following and examine the underlying material.

Discovery and filtering#

Users can browse by asset, market change or research topic, narrow the scope with filters and add relevant subjects to watchlists. The dashboard reduces the work of finding and organizing material so that users can identify questions that deserve further research.

Content volume or discussion intensity is not a conclusion on its own. Reporting and opinions on the same subject need to be read with their timing, sources and market context.

Keeping sources accessible#

News and social content retain links to the original material. Users can observe aggregated changes and examine individual reports or views to assess relevance, new evidence and disagreement.

As monitoring continues, new information about the same asset or event can support, revise or weaken an earlier judgment.

Connecting to research and strategies#

The dashboard supplies research leads. Event Engine develops a lead into questions, scenarios and discussion. Quant tools support further work on strategy rules or product selection.

For example, after discovering an asset-related event, a user can check reporting and social reactions before examining which market conditions it may affect. Whether that research becomes a strategy depends on the user’s judgment and the applicable product rules.

At the Personal Agent stage, dashboard capabilities will support continuous monitoring. Agents will use user preferences to organize relevant changes as part of an ongoing task.