Required analytical capabilities Understanding the analytical requirements of the organization’s work is vital to choosing the right decision intelligence platform. A basic fusion tool may be appropriate for less intense use cases, whereas predictive analytics and machine learning may be necessary for others. For organizations that require advanced analytics, look for the following capabilities: Pluggable machine learning Pluggable machine learning allows organizations to tailor analytics based on their specific needs, using a data science framework that incorporates connectivity with the organizational network and fusion platforms, as well as flexibility, on-demand scalability and a “plug-and-play” environment for the user. This framework empowers users with the ability to create, train and deploy machine learning models in a zero-code environment. ML-powered analytics In addition to basic queries and analytics, such as graph link analysis, look for a solution that provides advanced tools, like threat scoring, similarity prediction, and inferred relations based on unstructured data formats, including text, video, and image. Analytics that are driven by machine learning generate automated insights that would otherwise remain hidden. Choosing a decision intelligence platform 4 1 2 3 For more information on how NEXYTE can empower your organization decision making process, contact us