Salesforce has announced that it is bringing the full power of Einstein Analytics to its Financial Services Cloud. That’s what ZDNet reports. With the new tools, users should be able to use predictive analytics to be more strategic about how they pursue customer relationships, for example.
The Financial Services Cloud was rolled out in 2016 as a way to become part of the financial services and tech market, bringing industry-specific updates and innovation from Salesforce platforms to banks, insurers and fine-tech companies.
Companies in the financial services industry often work with legacy systems and a complex web on integration points. In addition, these types of companies often find it difficult to bring together and correlate customer data from various systems in order to provide personalized services to scale.
By adding more Einstein AI, Salesforce is trying to help asset managers and retail bankers use predictive analysis for things like churnrate, to be more strategic about how these people manage their business books and pursue customer relationships.
AI Insights
With new Artificial Intelligence (AI) insights, predictive guidance and recommended actions, financial advisors can get updates on which customers are most likely to increase their assets or churn. Relationship managers get a dashboard that shows referrers and the different accounts and roles of a customer.
Through connections to external data sources, users can also build their own analytics app for various business issues, and to provide personalized advice and services.
Salesforce states that it hosts all data in a secure and compliant platform. And all security, privacy, auditing, and reporting tools are configured to meet compliance requirements.
Low code
Salesforce also expanded its Einstein Platform Services this year with new low code services. This allows administrators or developers to create AI-driven tools for translation and optical character recognition.
These new tools are part of Salesforce’s strategy to offer a range of developer services, as well as low code tools. Thanks to low code tools, it is no longer necessary to hire new talent to develop enterprise apps.
This news article was automatically translated from Dutch to give Techzine.eu a head start. All news articles after September 1, 2019 are written in native English and NOT translated. All our background stories are written in native English as well. For more information read our launch article.