What makes Ajaia's approach to predictive analytics different from traditional BI tools?
Traditional BI tools analyze historical data in silos — you still have to merge sources manually before any predictive model runs. Ajaia's Financial Multi-Search unifies every data source at query time and applies predictive analytics models to the combined, reconciled picture. The result is forward-looking intelligence that reflects your complete data environment, not a single system's partial view.
Which financial data sources do your predictive analytics models connect to?
Financial Multi-Search integrates with Dynamics 365, Preqin, Dakota, FINTRX, ZoomInfo, and PitchBook out of the box. Additional connectors are available through a governed integration framework. All sources feed a single unified query so predictive data analytics runs on the complete cross-source picture every time.
How do predictive data analytics outputs get back into our CRM without introducing new errors?
Every record goes through a human validation step before it is written anywhere. The analyst reviews the AI-ranked profiles, confirms the outreach-ready record, and then one-click sync pushes the validated data to Dynamics 365 with 99.9% accuracy. Predictive analytics surfaces the signal; your analyst makes the call.
How long does it take to get predictive analytics models running on our data?
Ajaia delivered a production deployment for a fundraising firm in 3 months, covering data-flow mapping, schema normalization, platform build, and team enablement. Timeline is scoped during discovery based on the number of data sources, CRM complexity, and the predictive analytics use cases prioritized for phase one.