Data Doesn’t Drive Finance
Please view full screen
Data is Mostly Dark
Information as an Asset
Data is a People Problem
Both of these scenarios lead to a cognitive burden that is damaging your organization’s ability to service each client or customer.
Financial Services Organizations: Extracting Powerful Insights with AI-Powered Platforms
Steven D'Alfonso, Research Director, IDC Financial Insights, and David Schubmehl, Research Director, Cognitive/Artificial Intelligence Systems
Data for Machines. Information for People.
Today, this value comes from interpreting vast quantities of data. FSOs that become data-centric unlock the hidden potential they already possess. Data hoarding has become commonplace. These massive data stores can reveal their insights if this information can be placed into context and then interpreted, resulting in actions that drive product and service development and delivery.
Financial institutions can’t keep up, let alone compete, using current approaches. A large retail bank can have 60 million customers to manage. Regulations change constantly, Thomson Reuters estimated 56,321 regulatory alerts were issued by 900 regulatory bodies in 2017.
People can’t process all the data to get the information they need to do their jobs. Sinequa has the solutions to help them.
Keeping Secrets Safe
The Customer Ladder
Financial Crime Finder
A European Financial Intelligence Unit
Data-driven Risk Interpretation
What’s more, natural language processing can offer FSOs the ability to see potential investment opportunities based on a range of factors that would otherwise be hidden or lost.
New Information ParadigmsAdopting a more information-driven approach to your business processes, and customer-facing services can deliver many key benefits.
Intelligence through Insight
The key is to integrate the information that is being analyzed within an FSO’s broader business process. Here, next-generation data management systems are joined by AI Powered Search that is intelligent enough to understand a query and return the precise information that is needed to answer that request.
Providing relevant information is of course just the first step. Extracting meaning from dispersed content and data is where the real value to your business resides. Optimum decision making will always be dependent on the information that is available. Next generation tools deliver this meaning in real time to individuals who can then maximize productivity.
Taking an agnostic approach to data integration and analysis, a complete and comprehensive data resource can be built that every component of your organization can benefit from.
Identifying patterns within your organization’s vast data stores becomes fast and efficient. No matter how fragmented content and data has become across your organization, an information-driven approach can deliver the insights needed to drive value and expertise across your customer-facing touch points; and ensure your staff has contextualized data at their fingertips.
Sensitive Data Environments
Existing security rules and protocols are fully adhered to. This automatic adoption comes out of the box for LDAP-based directories - such as Active Directory (AD) - NT, as well as the application-specific directories commonly used in today's organizations, such as those found in SharePoint, Livelink, Exchange Server, Lotus Notes, Documentum, Alfresco, etc. Sinequa also supports creating users on the fly and attributing them specific rights (dynamic principles?).
The Sinequa Platform
This is the need that Sinequa’s AI-Powered Search Platform addresses.
The Sinequa Platform includes four components:
"Cognitive Search & Analytics Prevents Money Laundering for a Leading Financial Intelligence Unit".