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Target Generation

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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

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[...]

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.[...]

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

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 [...]

About BlackSwan Technologies

BlackSwan Technologies is a SaaS Product company. Its Flagship product ELEMENT is a cognitive operating system that enables rapid development of Enterprise AI-Driven applications. ELEMENT is the foundation that can be used by enterprises across multiple industries to build robust AI applications, tools and workflows. With hundreds of pre-configured data fetchers, analytical functions, models and user interface components, element makes heavy use of knowledge graphs and a range of Machine Learning techniques to help companies improve outcomes and reduce costs.

BlackSwan ELEMENT is trusted by some of the largest, fastest, and most innovative companies in the world.