Glossary of Terms

Explore complex topics with ease using our glossary! We've gathered essential terms and clear definitions to simplify your understanding of diverse subjects.

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

Automated Data

Refers to information that is processed and managed through automated systems or tools without direct human intervention.

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Automated Data Capture

Refers to the process of using technology and systems to automatically collect and record data without manual input.

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Automated Data Processing

Refers to the use of computer systems and technology to perform tasks related to the manipulation, storage, and retrieval of data without direct human intervention and manual processes.

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B

Big Data in Financial Services

In finance, big data refers to the vast, complex and varied sets of financial data generated at high volume.

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Business Rules Engine

A software component designed to manage and execute the business rules that govern decision-making.

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D

Data Automation

Refers to the use of technology and software tools to streamline and expedite the process of handling, processing and managing data without manual intervention.

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Data Driven Automation

The process of leveraging data to inform and guide automated actions within a system or process.

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Data Quality

Refers to the accuracy, completeness, consistency, and reliability of data within a dataset or database.

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Data Warehouse Automation

A technology-driven approach that employs specialized tools and software to automate the design, development, and maintenance of data warehouses.

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Digital Process Automation

The use of digital technology to streamline, automation and optimize business processes and workflows.

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E

Entity Integrity

A principle in database management systems that ensures each row (record) in a table has a unique and non-null primary key value

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H

Hyperautomation

An advanced approach to automation that combines various technologies such as artificial intelligence, machine learning, robotic process automation

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I

Intelligent Document Processing

IDP involves using technologies such as artificial intelligence (AI) and machine learning (ML) to automate the extraction, validation and processing of data from documents.

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Intelligent Process Automation

A cutting-edge approach to business automation that integrates artificial intelligence (AI), machine learning capabilities and robotic process automation (RPA) into traditional process automation technologies.

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N

Natural Language Processing

NLP in artificial intelligence refers to the capability of machines to understand, interpret, and generate human language.

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R

Reconciliation

Is the process of comparing financial records to ensure that different sources such as bank statements, transactions and accounting books, all have the same data.

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Robotic Process Automation

RPA automates repetitive, rule-based tasks using technology.

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S

Source Data Automation

The process of automatically collecting, processing, and integrating data from various source systems

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Structured Data

Structured data is organized within a predefined model, often in relational databases.

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U

Unstructured Data

Refers to information without a predefined format or organization, making it more challenging to analyze compared to structured data.

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W

Workflow Management

By streamlining and organizing tasks, workflow management enhances productivity, reduces errors, and allows for better visibility and control over business processes.

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