Your Roadmap for an Enterprise Graph Strategy

In a paradigm shift, organizations are moving away from traditional single-data models to more flexible data management approaches. Graph databases, which store and query data as nodes and relationships, offer a promising solution for managing complex, interconnected data. With the right approach, graph technology can help businesses unlock new insights, improve decision-making, and drive growth. To get started with graph technology, organizations should begin by identifying their specific use case or "graphy problem," building a proof of concept (POC) on a laptop, and then scaling up to a cloud pilot. By leveraging Neo4j, a popular graph database platform, businesses can unlock the full potential of connected data and drive business value through advanced analytics, recommendations, and new experiences. Ultimately, the key to success lies in understanding how graphs are used to solve real-world problems and driving meaningful conversations with stakeholders about the benefits and opportunities presented by this technology.