Data Science
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
An interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
The use of technology to perform repetitive tasks or processes in a workflow, liberating skilled experts from tedious activities and empowering them to focus on higher-order problem-solving and creative tasks.
A web-based interface that allows customers to find information and perform tasks without needing assistance from a customer service representative.
Anchoring (also known as Focalism) is a cognitive bias where individuals rely heavily on the first piece of information (the "anchor") when making decisions.
Plan, Do, Check, and Act (PDCA) is a four-step management method used for continuous improvement of processes and products.
The process of tracking and managing potential customers from initial contact through to sale.
The risk that the product being developed will not deliver sufficient value to the users, meaning it won't meet their needs or solve their problems.
Numeronym for the word "Interoperability" (I + 14 letters + Y), the ability of different systems, devices, or applications to work together and exchange information effectively without compatibility issues.
Goals, Ideas, Steps, and Tasks (GIST) is an agile planning technique to break down projects into manageable parts.