Different use-cases of graph technology


Whenever there is a new technology or innovation in the tech industry, it is essential to see if the product has some real-world value. Graph technology was structured using mathematical graph theory to store data and establish relationships between data sets.

The math behind the technology is quite complex, but the graph highlights the relationship between data and individual data points to put it in simple terms. The connections that are highlighted are referred to as relationships. These relationships provide an insight into the database. For instance, if you look at social media data, relationships would help define complex connections such as which followers from your social media visited your website, which channel they visited, what they bought, and what funnels they came through.

If you want to know about graph technology, business solutions like Neo4j are the best. However, you might need some Neo4j consulting in the initial stages to help with your staff’s schema design, implementation, analytics, best practices, and training. Here are some of the different use-cases of graph technology.

Machine learning

Gone are the days when machine learning was only accessible for big conglomerates. Nowadays, it is more accessible than ever, and even for small businesses, it is easier to access machine learning. Machine learning frameworks enable the developers to reap the benefits of deep learning, intelligent image recognition, intelligent chatbots, recommendations, and speech recognition. Graph technology proves beneficial to run and develop recommendation engines as it excels at establishing relationships between data points.

Fraud detection

There is always a negligible risk of fraud while doing a transaction online, which is a cause for concern. Graph analytics can help companies protect their customers as it can help them rapidly analyze large sets of transactions to detect any anomaly or fraud.  Moreover, bot accounts online can often ruin social media marketing campaigns, and graph analytics can also help identify fraudulent social media accounts.

Identity and access management

As the organization grows, it becomes a challenge to manage authorization for employees across the organization. However, the way graph technology is structured allows for better data management across different platforms. Graph databases and technology can enable an organization to handle connected areas and controlled access areas better than any other type of system.

Supply chain management

Supply chain management is an area that requires extensive work, and lately, the industry has been facing many challenges. Nowadays, supply chain management is more challenging than ever. Owing to globalization, brands are sourcing materials from different countries, and the supply chain network looks like an interconnected network of relationships that can be quickly processed by graph technology. Graph technology can establish complex relationships that can help with the scalability of the supply chain, help with the adaptability of the data, and sort the data. The integration of graph databases makes the supply chain more efficient, easy to access, and makes the supply chain transparent.

Graph technology can improve fraud detection, search engine recommendations, supply chains as well as help with access management. Therefore, if you want to get the benefits of graph technology, consider opting for Neo4j consulting to help you get started.

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