Middleware

Data Integration

The process of combining data from different sources to provide users with a unified, consistent view.

ETL

Extract, Transform, Load — the process of extracting data from sources, transforming it to fit needs, and loading it into a target system.

Enterprise Service Bus

Middleware architecture that enables communication between different enterprise applications through a central messaging backbone.

Enterprise Integration

The practice of connecting different enterprise systems, applications, and data sources to work together seamlessly.

Revenue Operations

The strategic integration of sales, marketing, and customer success operations through shared processes, technology, and data to drive predictable revenue growth.

A structured approach to transitioning individuals, teams, and organisations from a current state to a desired future state.

An approach combining multiple automation technologies (RPA, AI, ML, process mining) to automate as many processes as possible.

The combination of robotic process automation with artificial intelligence capabilities such as natural language processing and machine learning to automate complex business processes.

A decentralised data architecture approach where domain teams own and manage their own data products.

Development platforms that require minimal hand-coding, using visual interfaces and pre-built components to build applications.

Software that overlays on enterprise applications to guide users through features and processes in real time.

Oracle's cloud-based enterprise resource planning suite covering financials, procurement, project management, and risk.

Technologies, practices, and strategies for collecting, integrating, and analysing business data to support decision-making.