Altair Acquires Cambridge Semantics, Powering Next-Generation Enterprise Data Fabrics and Generative AI. Read More
Improve Customer Experiences, Operational Efficiency,Anzo helps financial services organizations connect and model enterprise data in scalable knowledge graphs that deliver transformative efficiencies and insights to fuel improved customer experiences, operational efficiency, regulatory compliance, and risk management.
Enterprise-class platforms for operational knowledge graphs are available today. However, transformation takes time, and the time to start is now. Early adopters are selecting targeted, high-impact uses cases to demonstrate capabilities, realize business value, and to build organizational capabilities.
While adhering to regulatory requirements, Anzo provides a flexible infrastructure that seamlessly connects all your customer information. Armed with this data, you’ll be ready to productively and legitimately meet your customer’s needs.
The needs of regulators, executives, and compliance officers are often unanticipated. Anzo will prepare you with the tools necessary to quickly automate, systematize, and integrate existing compliance data and processes for updated regulations.
Anzo can help compliance officers investigate compliance violations by linking and aggregating account activities, web logs, email and phone archives, IM communications, and other sources.
Insurers are aggressively expanding their use of enterprise data to fuel digital transformation and analytic-based innovation. Anzo makes such vital efforts successful by providing an agile, scalable platform to discover and integrate diverse data into analytics-ready data sets on demand.
This webinar, part of the EDM Council enterprise data management expert series, will inform you how to build a data fabric using semantic graph technology, to bring your disparate enterprise data together in a single, unified architecture.
This white paper describes the rapidly evolving business and regulatory drivers leading financial services organizations to implement vital new enterprise-wide data technology initiatives, and why legacy data management tools can no longer keep up. You will also discover a new, modern approach to enterprise data discovery and integration, powered by knowledge graph technology, capable of integrating, blending and presenting disparate data sources – structured and unstructured, internal and external.
Monetizing data while complying with regulations in finance is increasingly dependent on the ability to decouple the enterprise-across departments, business lines, and individual services.
