Industry
Banking and Financial Services
Related products
Zetaly Data Platform
Zetaly Service Intelligence
This case study illustrates how a major French bank tackled the challenges of mainframe data management by using Zetaly solutions to streamline SMF data collection, decoding, and analysis. With Zetaly’s tools, the organization achieved enhanced cost efficiency, operational performance, and a scalable, subscription-based solution to meet its evolving needs.
About the Company
- Size: One of the largest European banks, managing millions of daily transactions
- Previous Solution: SAS MXG, a costly and inflexible tool that lacked adaptability to the company’s evolving needs, as well as numerous in-house developments that were challenging to maintain
Challenges
- High Licensing Costs: The company previously used SAS MXG for processing and analyzing SMF records. However, as their needs evolved, they required a more flexible and cost-effective solution capable of handling specific and occasional demands.
- Lack of Flexibility in Data Management: The existing solution did not support targeted data manipulation, requiring custom development to retrieve and format data.
- Advanced Analysis and Visualization Needs: The company needed tools for advanced statistical analysis, anomaly detection, and efficient visualization for sharing insights across teams.
- Data Centralization and Export Capability: The company needed a centralized way to manage SMF data while ensuring easy visualization and export to external tools like Power BI.
Proposed Solutions
Specific Use Case: SMF 194 Record Processing
Challenge
The bank sought to process and analyze data that standard tools do not natively support. They provided us with SMF 194 (TS7700 Virtualization Engine Statistics Record) for processing.
Solution
Zetaly’s team quickly decoded SMF 194 binary records within the solution in just minutes and built custom dashboards.
.png?width=1234&name=Self-service%20SMF%20parser%2c%20SMF194%20parser%20(TS7700%20Virtualization%20Engine).png "Self-service SMF parser, SMF194 parser (TS7700 Virtualization Engine)")
The company can now efficiently and independently process any type of SMF record. With complete customization autonomy, they can collect, analyze, and save data records in any format, which can then be easily visualized in BI dashboards.
Key Features and Benefits of Zetaly
Cost Efficiency
Replacing SAS MXG with Zetaly delivers a more flexible, subscription-based model that is cost-effective.
Flexible Data Collection and Decoding
ZDP processes all SMF records, including non-standard formats like SMF 194, without additional development.
Simplified Data Management
The “sandbox” integration allows teams to collect, decode, and analyze mainframe data, with near real-time dashboard creation and sharing.
Data Export and Visualization
Data export to Power BI and other external tools ensures seamless integration with the company’s existing workflows.
Advanced and Predictive Analysis Capabilities
Advanced analytics enable trend identification and anomaly detection, improving decision-making and proactive mainframe management.
Conclusion: A Scalable Solution for Optimized Data Management
By replacing a costly, rigid solution with Zetaly, this bank not only optimized its operations but also gained the flexibility to meet future needs. Zetaly’s subscription-based model provides the bank with a scalable, cost-effective solution capable of meeting mainframe data management challenges.