Graph technology gives real-time insights and has multiple use cases

Rahul Tenglikar, Regional Director, India, Neo4j

Today, businesses are able to gather huge amounts of data across formats and systems but gathering and storing data is one thing and making sense of that data is another. The challenge is to use this data to create deep meaningful insights and enhance the decision-making process for your business. This is where graph data technology helps. 

It allows you to discover what you did not know was hidden deep within the interconnectivity of those data points. It helps navigate deep hierarchies, find hidden connections between distant items, and discover inter-relationships between items. It has the ability to deliver an image which displays connections for analytical and operational applications and gives an in-depth context or better refines the pieces of information which have been collected. 

Graph technology gives real-time insights and has multiple use cases - understanding the flow of money, fraud detection, supply chain management, how relationships change over time, etc across sectors like gaming, healthcare, manufacturing, or banking.
With businesses today dealing with abundant data and increasingly focusing on meaningful digital transformation, such technologies become more relevant than ever. It adds great value to businesses by helping them traverse the journey from collected data to connected data and support them in making well-informed and accurate decisions that not only drive growth but strengthen their technology arsenal in competitive environments.