Arbutus Mainframe Server

What Arbutus Mainframe Server does

Arbutus Mainframe Server extends the Arbutus Analytics platform to IBM mainframe environments. It enables organisations to access and analyse mainframe-hosted data directly, using the same tools and analytical approach applied to other data sources.

This allows teams to work with legacy data in place, without extracting or converting it into separate environments. By avoiding unnecessary data movement, organisations can preserve data integrity and maintain control over sensitive information.

Arbutus Mainframe Server supports a wide range of mainframe data sources, including DB2, IMS, ADABAS, VSAM, ISAM, and sequential (QSAM) files, as well as common mainframe data formats.

It is particularly valuable where important financial, operational, payroll, or customer data remains on mainframe systems and needs to be included in audit, compliance, or monitoring activities.

How Arbutus Mainframe Server is used

Arbutus Mainframe Server is typically used where organisations want to:

• Include mainframe data in audit and assurance activities
• Analyse legacy systems without relying on extract-based approaches
• Combine mainframe data with data from other enterprise systems
• Support continuous monitoring or repeated control testing involving legacy data
• Apply consistent analytical procedures across different data environments

This helps organisations bring mainframe data into their analytics approach in a controlled and efficient way, without changing the underlying systems.

What this looks like

Arbutus Mainframe Server acts as a connection layer between the Arbutus Analytics platform and mainframe-hosted data.

In practice, users can work with mainframe data within the same environment they use for other analytics. Data from supported mainframe sources can be incorporated into analytical procedures, compared with other datasets, and included in recurring or scheduled routines.

This allows legacy systems to be included in broader analytics without requiring separate workflows or tools.

Working with other Arbutus components

Arbutus Mainframe Server works as part of the broader Arbutus Analytics platform and is typically used together with other components, including:

• Arbutus Analyzer, for developing and running analytical procedures on mainframe data
• Arbutus Hub, for centralising resources and scheduling recurring analytics
• Arbutus WebConnect, for browser-based execution of approved procedures

This allows organisations to analyse mainframe data using the same methods, structures, and procedures applied elsewhere in their analytics environment.

Who uses Arbutus Mainframe Server

Arbutus Mainframe Server is commonly used by:

• Internal audit and risk teams working with legacy systems
• Compliance teams testing controls on mainframe-hosted data
• Organisations seeking to include mainframe data in broader analytical routines
• Teams that want to modernise analytics without replacing core systems

It is particularly valuable where legacy environments remain business-critical and must be included in structured analytics, testing, and monitoring.

How Sepia Solutions can help

Sepia Solutions supports organisations in using Arbutus Mainframe Server through services such as:

• Installation and configuration
• Training
• Workshops
• Coaching
• Consultancy
• Automation and development
• Ongoing support

This may include helping organisations connect to mainframe data sources, incorporate legacy data into broader analytics, and build repeatable procedures that make effective use of information stored in mainframe environments.