{"id":17581,"date":"2023-02-22T17:20:48","date_gmt":"2023-02-22T22:20:48","guid":{"rendered":"https:\/\/enterprise-knowledge.com\/?p=17581"},"modified":"2023-02-28T08:52:28","modified_gmt":"2023-02-28T13:52:28","slug":"top-graph-use-cases-and-enterprise-applications-with-real-world-examples","status":"publish","type":"post","link":"https:\/\/enterprise-knowledge.com\/top-graph-use-cases-and-enterprise-applications-with-real-world-examples\/","title":{"rendered":"Top Graph Use Cases and Enterprise Applications (with Real World Examples)"},"content":{"rendered":"

Graph solutions have gained momentum due to their wide-ranging applications across multiple industries. <\/span>Gartner predicts<\/a><\/strong> that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Several factors are driving the adoption of knowledge graphs. Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs.<\/span><\/p>\n

For many organizations, however, the question remains, \u201cIs it the right solution for us?\u201d We get this question regularly. Here, I will draw upon our own experience from client projects and lessons learned to provide a selection of optimal use cases for knowledge graphs and semantic solutions along with real world examples of their applications.<\/span><\/p>\n

\"Top<\/a><\/p>\n

Use Case #1: Customer 360 \/ Enterprise 360<\/h2>\n

\"Customer<\/a><\/p>\n

Customer data is typically spread across multiple applications, departments, and regions. Each team and system need to keep diverse sets of data about their customers in order to play their specific role – inadvertently leading to silo<\/span>ed experiences. A graph solution allows us to create a connection layer that facilitates consistent aggregation and ingestion of diverse information types from sources, internal or external, to the organization. Graphs boost knowledge discovery and efficient data-driven analytics to understand a company\u2019s relationship with customers and personalize marketing, products, and services.<\/span><\/p>\n

Real World Examples:<\/h3>\n

Customer 360 for a Commercial Real-Estate Company<\/strong><\/p>\n

\u201cWe lost a multi-million-dollar value customer after one of our regional sales reps offered the customer a property that the customer already owned. How do we get better with understanding our customers? We would like to be able to quickly answer questions like:<\/span><\/i><\/p>\n