CyberIQ Dataset

Kaze Consulting/CyberIQ Dataset is a Expert Networks & Surveys data product published on databricks-marketplace and indexed by The Alternative Data Encyclopedia.

Kaze Consulting publishes CyberIQ Dataset as a databricks-marketplace offering in the Expert Networks & Surveys signal family.

The data

Kaze Consulting maintains it as part of its Expert Networks & Surveys portfolio and lists it through databricks-marketplace.

Structure, access and licensing

License: other. Pricing: Commercial terms (Databricks Marketplace).

Access is through a dataset that is obtained from the databricks-marketplace listing. The listing does not state an explicit refresh schedule, which is worth confirming before backtesting.

The signal

Structured primary research obtained from practitioners: one-to-one expert calls, searchable transcript libraries covering public and private companies, and quantitative surveys of industry insiders or consumers. The category converts qualitative market knowledge into evidence a diligence process can cite.

Experts supply operating KPIs — channel inventory, pricing actions, utilization — that filings disclose late or never, letting analysts test management narratives between earnings calls. In private-equity underwriting, expert programs de-risk thesis assumptions on demand, churn and unit economics before commitment. Surveys quantify purchase intent and satisfaction shifts that lead revenue by one or two quarters. Core outputs are moderated call transcripts with expert background screening attached, organized by company, sector and topic, alongside survey datasets with sample definitions, quotas and field dates. Libraries index tens of thousands of companies and hundreds of thousands of transcripts, increasingly exposed through AI search and API feeds. Survey products ship scorecards and distributional results rather than raw respondent rows.

Networks maintain rosters of screened professionals recruited continuously, matching them to client research agendas through internal teams. Compliance workflows clear discussion guides against topic blacklists, exclude current employees from discussing confidential matters, record calls and monitor for material non-public information. Transcript libraries aggregate past interactions under consent terms, while consumer surveys run on proprietary panels with quota sampling to population targets.

Caveats and compliance

Small samples and leading question wording drive conclusions, and experts suffer recall bias on specifics they did not own personally. Selection favors articulate insiders over representative ones, and repeated harvesting narrows pools. Transcript reuse means popular insights get crowded quickly, eroding edge.

Insider trading is the defining legal risk: providers must demonstrate documented MNPI screening, recording policies and escalation procedures, with EU market-abuse rules applying to European interactions. Survey panels carry standard informed-consent and data-protection obligations.

Who uses this signal

Long/short equity and credit funds use calls for catalyst verification; private-equity teams embed expert programs in diligence workstreams. Strategy consultancies and corporate development teams buy the same access for market entry and competitive assessments.

Complementary signals

This kind of signal pairs naturally with adjacent categories of the encyclopedia:

Further reading