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Digital business transformation has caused many organizations to change their approaches to data integration. Rapidly changing requirements and higher expectations to deliver data in real-time has created a demanding environment for IT departments. With tightening budgets and resources, it has become challenging to meet these demands with existing IT infrastructures.

It can be difficult to modernize data processes and infrastructures under such circumstances. That said, investing in a hybrid cloud strategy offers a realistic solution to what can seem like an impossible problem. A hybrid cloud strategy enables IT to scale capabilities by extending the capacity of existing infrastructure. This enables IT to preserve investments while modernizing systems as budgets or resources permit.

Many enterprises are gaining significant benefits from a hybrid cloud strategy. In a recent Precisely survey of enterprise IT professionals, 35% of respondents noted that hybrid cloud had helped them to reduce costs and 29% noted increased operational efficiency. Other business benefits of a hybrid cloud strategy include:

  • Flexibility and scalability to meet changing business demands
  • Improved service quality and availability
  • Transparency into the cost and consumption of resources
  • Establishing a vendor-agnostic strategy to infrastructure
  • Maintaining requirements for data sovereignty while investing in new technologies
Solving IRS Pub 1075 Compliance
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System Audit Journal – QAUDJRN

The System Audit Journal (QAUDJRN) contains information related to events occurring on the IBM i system that impact security and can be used to log user and application activity. This includes information such as changes to system values, object authorities, profiles, authorization lists, object access attempts, and more.

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Event Monitoring with Ironstream for ServiceNow

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The System Audit Journal (QAUDJRN) contains information related to events occurring on the IBM i system that impact security and can be used to log user and application activity. This includes information such as changes to system values, object authorities, profiles, authorization lists, object access attempts, and more.

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How to Build a Tangible Business Case and Justify Data Quality Initiatives

Although organizations often lack insight into the quality of data used in everyday decision-making, developing a strategy that measures and reports on data quality metrics can help stakeholders craft a business case and ROI model to drive investment in data quality investments.

A robust data quality solution automates many profiling and discovery processes, so the business and IT team can accurately assess project risks and measure the enhancement of information performance.

Read on to learn more about the process and potential areas of focus that can help build a tangible business case and justifies data quality initiatives within your organization.

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