How to Use the REXX LISTDSI Function to Get z/OS Dataset Information Quickly and Easily
Mainframe programmers are problem-solvers. In today’s large, complex data centers, we’re often faced with ad-hoc questions from management – questions that echo the old National Enquirer slogan, “Inquiring Minds Want to Know.” And management usually wants answers right now: What does this dataset look like? What are its characteristics? How much space does it occupy? […]
Top Reasons to Choose Precisely for SAP and Salesforce Process Automation
When organizations connect SAP and Salesforce, they often uncover just how complex end-to-end business processes really are. Customer onboarding, master data creation, approvals, validations, and system synchronization all introduce risk, delays, and data integrity challenges. The best SAP and Salesforce process automation solutions don’t just move data — they simplify complexity, enforce governance, and ensure […]
Are You a Searcher, Experimenter or a Strategic User of Unstructured Data?
Here’s a statistic that catches most executives off guard: 80% of a company’s valuable data exists outside of tidy spreadsheets and organized databases. Instead, this unstructured data is spread across PDFs, embedded in customer emails, captured in video recordings, and stored in countless other formats that analytics tools can’t access. And this 80% is growing […]
The Role of Tape Management Systems on z/OS
If you want to protect your most valuable z/OS data and make sure it’s there when you need it, a reliable tape management system is non-negotiable. A tape management system (TMS) tracks every tape volume in your environment – whether physical or virtual – and enforces rules for when tapes can be written, reused, expired, […]
An IBM Z Data Integration Success Story
In today’s fast-paced digital world, maintaining high standards and addressing contemporary requirements is crucial for any company. One of our customers, a leading automotive manufacturer, relies on the IBM Z for its computing power and rock-solid reliability. However, they faced a growing challenge: integrating and accessing data across a complex environment. The Challenge: Complex Data, […]
What is Data Integrity?
Key Takeaways: Data integrity is achieved when data has maximum accuracy, consistency, and context – giving you the power to trust your data and make better business decisions. The journey to trusting your data can be challenging, but you can more easily and effectively build data integrity when the core capabilities you need work together. […]
Data Integration for AI: Top Use Cases and Steps for Success
Key Takeaways Trusted data is critical for AI success. Data integration ensures your AI initiatives are fueled by complete, relevant, and real-time enterprise data, minimizing errors and unreliable outcomes that could harm your business. Data integration solves key business challenges. It enables faster decision-making, boosts efficiency, and reduces costs by providing self-service access to data […]
New Year, New Approaches to Tackling IT Operations Management
As businesses evolve and delivery speeds increase, IT operations teams face environments where downtime isn’t an option. The traditional ways of operations management are over – modernization and holistic approaches are now essential. For IT operations (ITOps) teams, 2025 means reassessing technology stacks, processes, and people. Success in tackling modernization of IT operations management starts […]
The Rise of Streaming Data Architectures: What You Need to Know
Key takeaways: Real-time data is critical for exceptional customer experiences. Customers expect immediate responses and personalized interactions, and streaming data architectures help you meet these expectations. Integrated and scalable architectures drive business agility. By consolidating the data of disparate systems when leveraging streaming data architecture, you improve operational efficiency, reduce costs, and adapt to new […]
Redefining AIOps IT Workflows with Legacy System Visibility
Key Takeaways: Centralized visibility of data is key. Modern IT environments require comprehensive data for successful AIOps, that includes incorporating data from legacy systems like IBM i and IBM Z into ITOps platforms. Predictive of AIOps capabilities will revolutionize IT operations. The shift from reactive to proactive IT operations is driven by AI-powered analysis, automation […]
Mainframe Data Meets AI: Reducing Bias and Enhancing Predictive Power
Key Takeaways: The significance of using legacy systems like mainframes in modern AI. How mainframe data helps reduce bias in AI models. The challenges and solutions involved in integrating legacy data with modern AI systems. The potential benefits of these integrations. In today’s rapidly evolving technological landscape, businesses across industries are constantly looking for ways […]
Data Migration to the Cloud: Benefits and Best Practices
Key Takeaways: Cloud migration enhances agility, cuts operational costs, and helps you stay compliant with evolving regulations. Maintaining data integrity during cloud migration is essential to ensure reliable and high-quality data for better decision-making and future use in advanced applications. Partner with the right providers that offer both technical tools and expertise within your industry […]