An artificial intelligence solution to analyze different data types and sources to optimize decision-making

Data is on the rise quicker than ever, and companies need to make sure that they are well-equipped to manage and extract relevant information across different types and sources of data. Previously companies have relied more on relational analytics which compares one-to-one relationships using structured data. However, the exponential growth in data requires more accurate and deeper insights. Companies are being overwhelmed by manual data organization and retrieval, which in turn makes it harder to exploit meaningful data to its full capacity. Graph analytics make this process much easier by reducing time and effort. It reveals hidden relationships and advanced patterns between entities, such as customers, products, operations, and devices, across big databases. Companies can use these graph analytics to uncover significant, influential, and vital insights more efficiently.