Business graph engine for connection recommendations

[0003]A system, apparatus, and methodology are described for efficiently finding and organizing business-relevant connection recommendations with relevant and timely sales intelligence by aggregating corporate and newsfeed data with business network connection services into a single view using a business graph database to provide a relationship map of companies, people, and their relationships. In selected embodiments, the business graph database is constructed as a relationship map of business entities and relationships which are extracted by using network connection identification services to find business connections for one or more employees at a company and by applying NLP processing of newsfeed and corporate data to provide sales intelligence information (e.g., newsfeed articles) which are tagged with sentiment scores, entities and topics and entities for improved searching of business connections. When implemented as a software as a service (SaaS) model, the business-relevant connection recommendation system provides a sophisticated, infinitely scalable big data platform which combines up-to-date and relevant corporate data and newsfeed information with recommended connections from LinkedIn and Facebook network connection identification

However, once a new potential customer organization is identified, it can be very difficult to identify a specific decision maker within the organization to contact since ideally, people interested in affecting the actions of organizations attempt to talk to the most influential persons within that organization.

And while there are automated customer relationship management (CRM) processes and systems for managing an end-user's interactions with busi