Data Analytics
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions.
The practice of measuring and analyzing data about digital product adoption, usage, and performance to inform business decisions.
Visual cues or instructions integrated into an interface to guide users on how to use certain features or functionalities.
The ability of users to influence the behavior and outcomes of a system or product, allowing them to interact with it according to their preferences.
ModelOps (Model Operations) is a set of practices for deploying, monitoring, and maintaining machine learning models in production environments.
The systematic process of capturing, evaluating, and implementing ideas to drive innovation, reflecting a collective commitment to continuous improvement and product excellence.
The process of anticipating future developments to ensure that a product or system remains relevant and functional over time.
The degree to which a product's elements are consistent with each other.
The practice of promoting and representing the needs, interests, and rights of users in the design and development process.
The percentage of users who continue to use a product or service over a specified period, indicating user loyalty and engagement.