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148 Modules

    ODIN Modules

  • Transform, Utility

    Create Row Header

    This module is used to create the Row Header for the table set. For example, Row Headers are needed if the data set is to be merged with another data set using the Union module.

  • Analytical, Utility

    Cross Period Calc

    This module is used to calculate the return of an instrument or portfolio from period T to T+1.

  • Analytical, Utility

    Cumulative Period Return

    This module is used to calculate cumulative returns for defined periods.

  • Analytical, Utility

    Custom Benchmark

    This module is used to create custom or blended benchmarks. For example, a blend can be made that contains 40% S&P 500, 50% FTSE and 10% Cash + 150 Bps. The blended benchmarks can be kept at the security-level for use with processes such as Performance Attribution, or aggregated into a single return stream for Compositing or Ex-Post Performance Analysis. It also allows for definition of dynamic weights for each...

  • Import, Import Utility Modules

    Custom Input

    This module is used to extract data from a custom data source. For example, data can be extracted from a proprietary data source including Fame, Bloomberg etc. or data parsed off a non-traditional report.

  • Export, Export Utility Modules

    Custom Report Out

    This module is used to export data to a custom output source. It can be leveraged to export analysis data to a customized report. For example, performance data generated by the Performance Attribution module can be exported to a custom Excel, PDF or HTML report.

  • Transform, Utility

    Data Anonymization

    This module provides multiple Data Anonymization options including Data Masking, Hiding, Pseudonymization, Perturbation, Swapping and Encryption. Any data from any source can be anonymized by inserting it into the data flow. A single data set or entire databses can be anonymized using this module. Enterprise-level anonymization rules can be enforced by inserting this module into the firm’s technology stack.

  • Transform, Utility

    Data Comparison

    This module is used to scrub and validate data. The module can also be used to create a true/false or 1/0 data column that corresponds to the match/not match data comparison.

  • Transform, Utility

    Data Compliance

    Perform data compliance/validation check and procedures on security (example Sector, Industry etc.) and portfolio (weight, market value etc.) attributes. Offers validation for a range of dates. Portfolio validation can be performed both absolute and relative (benchmark).

  • Export, Export Utility Modules

    Data Manager

    Use this module in ODIN Process Manager config files that launch the ODIN Data Manager in App Builder

  • Transform, Utility

    Data Recon

    This module is used to compare two or more data sources to see if their data is in sync. It will report all exceptions.

  • Transform, Utility

    Data Validation Engine

    The Data Validation Engine allows you to test and report on all data brought into ODIN. You can set alerts and exports based on a set of conditions that make up a validation rule. The data passed through this module will exit the module unchanged after all tests are run.

Create Row Header

This module is used to create the Row Header for the table set. For example, Row Headers are needed if the data set is to be merged with another data set using the Union module.

Inputs

Outputs

Cross Period Calc

This module is used to calculate the return of an instrument or portfolio from period T to T+1.

Cumulative Period Return

This module is used to calculate cumulative returns for defined periods.

Inputs

Outputs

Custom Benchmark

This module is used to create custom or blended benchmarks. For example, a blend can be made that contains 40% S&P 500, 50% FTSE and 10% Cash + 150 Bps. The blended benchmarks can be kept at the security-level for use with processes such as Performance Attribution, or aggregated into a single return stream for Compositing or Ex-Post Performance Analysis. It also allows for definition of dynamic weights for each component of the blend in cases where the blend definition rebalances to the asset class weight of certain funds.

Custom Input

This module is used to extract data from a custom data source. For example, data can be extracted from a proprietary data source including Fame, Bloomberg etc. or data parsed off a non-traditional report.

Example

Description: Download data with Custom report module, export to Oracle.

The process involves the following steps:

1. Custom Import/Download.

2. Export/Upload into Oracle.

Custom Report Out

This module is used to export data to a custom output source. It can be leveraged to export analysis data to a customized report. For example, performance data generated by the Performance Attribution module can be exported to a custom Excel, PDF or HTML report.

Data Anonymization

This module provides multiple Data Anonymization options including Data Masking, Hiding, Pseudonymization, Perturbation, Swapping and Encryption. Any data from any source can be anonymized by inserting it into the data flow. A single data set or entire databses can be anonymized using this module. Enterprise-level anonymization rules can be enforced by inserting this module into the firm’s technology stack.

Data Comparison

This module is used to scrub and validate data. The module can also be used to create a true/false or 1/0 data column that corresponds to the match/not match data comparison.

Inputs

Outputs

Data Compliance

Perform data compliance/validation check and procedures on security (example Sector, Industry etc.) and portfolio (weight, market value etc.) attributes. Offers validation for a range of dates. Portfolio validation can be performed both absolute and relative (benchmark).

Data Manager

Use this module in ODIN Process Manager config files that launch the ODIN Data Manager in App Builder

Data Recon

This module is used to compare two or more data sources to see if their data is in sync. It will report all exceptions.

Data Validation Engine

The Data Validation Engine allows you to test and report on all data brought into ODIN. You can set alerts and exports based on a set of conditions that make up a validation rule. The data passed through this module will exit the module unchanged after all tests are run.