Data Flow Mapping
Reverse Engineering with Data Flow Automations
Data Flow Mapping is an AI-based enterprise application that reverse engineers the code in COBOL and other legacy languages so that more versatile code can be re-written in modern languages. It also, analyses software code, its complexity, and dependencies as well as other relationships within the code and extracts business rules. This helps in the automation of processes and services regarding documentation, maintenance, rationalization, optimization, and modernization of software applications.
Banks and non-banking finance corporations
Information technology companies
Life sciences & health-care companies
Other entities with legacy applications
Advanced reverse engineering for legacy systems and Databases
Data Flow Mapping by Scry Analytics delivers tremendous gains in productivity and cost reduction, while guaranteeing unprecedented levels of accuracy at scale. It is powered by extensive automation that streamlines workflow management implemented at each stage of process. Our Data Flow Mapping Software “reverse engineers” the transformations being performed by legacy applications, thereby, improving the efficiency of analysts and programmers in debugging and in rewriting these applications in contemporary computer languages.More Detail
- Streamlines workflow management with role-based access
- Automates attribute and transformation mapping of input and output tables
- 90%+ accuracy achieved with pre-trained algorithms and domain ontology
Streamlining processes & Reduction in Man hoursProvides decision support to analysts and programmers while inferring the flowcharts related to the data or the underlying program.
Exception & AlertsData Flow Mapping generates exceptions and alerts on incremental data.
Proprietary & Open-Source AlgorithmsScry leverages subject matter expertise and creates ontology & proprietary algorithms to improve overall system accuracy.
Time-series graphsShows parameters & transformations from one set of tables to the next one.
Collatio has been built using
the following technologies
Generic rule-based machine learning
Big data integration
Big data analytics
Key Differentiators &
Pre-built 60+ proprietary algorithms to reverse engineer ~ 500 transformations including “if... then... else”
90%+ accuracy achieved by pre-trained AI algorithms and domain ontology
Time and Cost
75% reduction in time & cost while performing the analysis
Ready to use UI and APIs
Pre-built graphical user interface (GUI) & APIs for quick deployment & integration with clients’ existing workflow
Data Quality Dashboards
Identify, extract & curate anomalous data using Data Quality dashboards. Visualize overall Data Quality and table/column specific results