Uniting Mainframe Data with Hybrid Cloud for Stronger Data-Backed Insights

Many enterprises face challenges when connecting mainframe data to cloud infrastructure. In fact, 76% of IT decision-makers cite challenges around accessing mainframe data as a barrier to mainframe data usage, according to a study from Rocket Software and Foundry. That same study found that 64% of decision-makers identified integrating mainframe data with cloud infrastructure as a primary challenge.

Businesses rely on critical data held in the mainframe to make strategic decisions. This data includes information regarding transactions, customer information, and inventory. By accessing this data via the cloud, organizations can scale, access, and work with it from anywhere to be more efficient and productive.

But the trouble is many organizations are not bridging the gap between mainframe data and hybrid cloud infrastructure. Rocket Software’s survey found that only 28% of businesses are fully tapping into the full potential of their mainframe data. This is despite widespread acknowledgment of the value of this information and its initiatives.

For organizations to leverage modern and future technologies to their fullest potential, they must be able to work with mainframe data via the cloud for analytics and forecasting.

How Rocket Software bridges the gap

Recently, Rocket Software announced Rocket^® DataEdge, a structured data suite for hybrid cloud data integration, bridging the gap between core transactional applications, distributed systems, and cloud environments. The suite offers comprehensive data discovery, integration, and metadata management products. Combining these disparate data sets enables companies to easily access and maximize data use for stronger data-backed decisions and a competitive edge.

The hybrid cloud offers a wide variety of benefits for enterprises to leverage, and one of the biggest benefits is the ability to leverage mainframe data at scale. Enterprises still need to tap into their mainframe data to inform AI models and unlock fully actionable insights. Integration of mainframe data into the cloud enables an adaptive, forward-looking data strategy that empowers teams to deliver greater business value.

The Rocket DataEdge Suite has several benefits including enabling teams to access and analyze data faster, reduce operational costs while increasing business agility, and improve workflows across infrastructure. Let’s dive deeper into how each of these benefits help enterprises today.

• Synchronize data in real-time – Easily connect hard-to-reach mainframe, IBM^® i and on-premises data with cloud applications, data lakes, lakehouses, and warehouses.
• Quickly access and analyze data – By automating the scanning and analysis of mainframe and cloud metadata, data becomes easily understood and mapped to cloud data initiatives.
• Reduce operational costs and increase agility – Enabling optimal hybrid cloud processing engines for data management, enterprises can lower costs, optimize operations, and speed delivery.
• Improve workflows across infrastructure – Cohesive data management minimizes complexity, delays, errors, and compatibility challenges by seamlessly unifying data across environments.   

Rocket^® DataEdge suite is the broadest and deepest set of data integration and metadata management products on the market. The portfolio includes Rocket^® Data Replication and Sync, Rocket^® Data Virtualization, and Data Intelligence.

Learn more about how Rocket DataEdge can help organizations bridge the gap between mainframe data and hybrid cloud infrastructure.