Target Generation

VALUE PROPOSITION

Surpassing corporate customer acquisition targets, improving new customer average profitability, and exposing previously unknown qualified leads
Enabling the bank to achieve a major Digital Transformation leap, by utilising ELEMENT’s revolutionary Schemaless Knowledge Graph Technology
Decreasing labour-intensive tasks by a providing process-centric, AI-embedded application

Improvement of lead generation as part of customer acquisition at a world-leading bank, by monetising information available to the bank from internal and external sources

BACKGROUND

The bank was facing unsatisfactory growth rates from new corporate customers and decided to prioritize the implementation of new outreach and acquisition methods

Lead generation was based on labour-intensive analyst and relationship manager efforts

Dependency on human judgement caused biased decision making, lacking statistical accuracy

TARGETS

Modernise the bank’s lead generation infrastructure, identifying potential customers by evaluating a multitude of criteria

Augment existing data assets with multiple types of external data sources, and create a unique and proprietary universe of companies, people, and relationships

Automate prospective customers, allowing a local relationship manager to receive alerts regarding emerging candidate customers

ADDRESSING THE NEED

Characterised a “Golden Customer” within the system, taking multiple factors into consideration (e.g. customer profitability, size, industry, risk, products used, cost of relationship maintenance, growth potential, etc.)
Deployed an AI Candidate Customer Module that automates emerging candidate customer monitoring, letting a local relationship manager receive alerts regarding candidate customers based on a defined population, by evaluating various aspects of these parties, including their attributes or relationships with existing clientele or employees
Applied Link Analyses to Knowledge Graphs about existing customers and employees, generating qualified leads and prioritizing acquisition channels

Other Use Cases

Social Listening

Refinement of interactions with high net worth customers of a private banking and wealth management brand owned by one of the world’s largest banks, by deriving insights from open data sources, including journalism and social media[...]

Bank Compliance

A global bank addresses the risks and costs of conventional data sources and fragmented approaches to KYC and AML. Using BlackSwan’s ELEMENT™ of Compliance, operational costs are reduced by over 50% and highest-priority risks are given full attention within a comprehensive situational context.[...]

Predicting Class Action Lawsuit Profitability

Application of predictive modelling to class action lawsuits for a leading advisory firm specialising in litigation finance [...]

Talent Acquisition

Enhancement of talent acquisition for an industry-leading executive search firm, by pinpointing previously unreachable candidates using an AI-based searching, profiling and compatibility scoring system [...]