An entirely new way of converting data
System migrations are risky, slow and complex—”convert thedata correctly” is the biggest painpoint
Globally, enterprises spend $130B+ on data conversions as they modernizebusiness systems and move to the cloud. Successful systems migrationsrequire subject matter experts, effective methodologies, and dataconversion technologies. However, teams frequently lack one or more ofthese critical success factors resulting in long timeframes, missed budgetsand unnecessary risk.
Solution: AI-based conversions with metadata activation
By training AI-models with domain-specific content and activatingmetadata across every step of migrating data, it is now possible toautomate tasks that required expert knowledge, such as:
• Project scoping
• Data cleansing and enrichment
• Mapping and transformations (including many-to-many)
• Testing and reconciliation
The power of automation
With Zengines, there’s a better way.
Understanding that data is often the culprit of derailed migrations, westart with the steadfast principle of “load data early, fast, and often”.
Zengines combines the latest in data science, data integration, and deepcapital markets expertise to produce a unified data conversion platformthat gets smarter with each use. The platform enables project teams toreduce risk across difficult data conversion projects and get clients up andrunning on target systems months or years earlier. Zengines is the first touse AI algorithms tailored specifically for the asset management industry.
The Zengines platform automates complex, manual processes and reducesthe reliance on scarce subject matter experts. The result is fasterconversions, lower costs, reduced risk and better data quality.
Zengines offers
• SaaS solution via project-basedor annual subscriptions
• Interactive application, usableby business analysts
• User dashboards, with flexibleUI, reporting, and audit trails
• Product support from industryand data domain experts
Zengines produces
• Data migration transformed outputs (databaseupdates, load files, csv imports)
• Business data glossary and metadata catalog
• Data profiling, anomalies, exception reports
• Mainframe data/insight discovery with datalineage
• Reconciliation reporting
• Auditable process