Zoho offers a variety of visualisation options – charts, pivot tables, summary views, KPI widgets, and custom themed dashboards. It has an AI-powered assistant which allows users to interact. Finally, it can help deliver information to decision-makers without depending on IT.Ī self-service BI analytics platform, it allows users to create dashboards and visually analyse any data. The business performance data can be incorporated on dashboards and KPIs. It can be used to streamline reporting and refine communications. It also helps find trends and deliver insights. It is an easy-to-use BI tool that gives real-time visibility into its operational and financial performance. Instead, it wields the mainframe’s built-in zIIP engines (a subsidiary processing system) and does not come under the MSU billing system.Īs more companies move towards BI mainframe systems, the global mainframe market will reach $2.90 billion by 2025, according to a report by Allied Market Research. This method eradicates the high costs and entirely skips through high CPU usage (avoiding MSU charges). Although it is loaded on the cloud, it can be processed into any standard format, churned with other data and analysed as frequently as required. Now, data is extracted from the mainframe and loaded to a cloud.
In addition, the mainframe software vendors charge in “MSUs” (CPU processing loads) because all traditional data movement depends on CPU processing.īut, advancement in technology can eliminate this overbearing issue.
It interferes with other critical procedures like transaction processing, backup, and scheduled batch jobs. The methods of mainframe data movement known as “extract, transform, and load” (ETL) requires rigorous computing power. It has made moving data off the mainframe cost-prohibitive. However, it is still difficult to fully accomplish it due to technological limits and the pricing policies of vendors. Today, companies want to use mainframe data strategically and monetise its hidden value. The records and data stored in the mainframe are usually the most important data for any company. After storing this data, the CPU extracts, transforms, and moves it to a more purpose-built non-mainframe analytics platform. While dealing with decisions based on data-driven analytics, the data is stored in IMS hierarchical structures, COBOL copybooks, VSAM files, and DB2 tables in the mainframe. In addition, BI mainframe tools have proven to be the best choice for achieving ultra-high availability and scalability, making the mainframe’s support of BI operations alluring. This is why big companies rely on it for banking transactions, mutual fund deposits, payroll processing, flight reservations, and telephone billing transactions. As a result, mainframe tools are sought after due to their high scalability. Meanwhile, it also allows applications to access all data.
This is because mainframes are designed to provide 99.99% availability, led by hardware and software upgrades without application outages. BI mainframe tools and their valueīI mainframe tools play an important role in helping organisations manage their critical business intelligence procedures. BI analyses large amounts of data, which allows executives, managers, and workers to make important business decisions. They can guide a company to make better decisions by current and historical data which can be used for compliance and hiring efforts. Business intelligence (BI) tools are widely used today and help businesses to question their data.