1.2.1 Key Features
- Support for both top-down and bottom-up Allocation
Methodologies
PFTCS supports top-down Allocations from Management Ledger to Customer Accounts to Transaction Summary levels, and also supports bottom-up Allocations from Transaction Summary to Customer Accounts to the Management Ledger Level.
- Source aligned Data Structure with Instruments, Accounts,
Transactions, Ledger, and so on.
The Data Structure is designed to support ingestion of Data each different Financial Instrument wise, be it Customer Accounts Data or Customer Transaction Data.
- New Registration UI is provided OOTB to configure your Working Data
Model over the Physical Placeholders
The PBSMCS Data Model comes with additional Placeholders for Columns, Dimensions, and Ledger Tables. We are providing domain Based Placeholder Columns, Placeholders for OFSAA Key Processing Dimensions and Simple Dimensions, and five Placeholder Management Ledger Tables in addition to the regular Management Ledger Table.
- New modes of Member Selection for your Allocation Rule
Definitions
We offer you four modes of Dimension Member selection in your Source/Driver/Outputs Tabs in Allocation Specification Detail UI namely – Leaf mode, Node mode, Hierarchy Filter mode and Macro mode. This allows typing ahead Member Names while applying constraints on the Source/Driver/Output Dimensions, in addition to selection of Members from the Hierarchy Browser.
- Enhanced Hierarchy Browser flavors catering to differing needs across
the Service
The current offering of the enhanced Hierarchy Browser is designed according to the mode it is called. The Browser is simpler, intuitive, comes with a user friendly built in Search Criteria, and provides selection of Member from the Search Tab directly without the need of further operations.
- Improved performance for Profitability Table
Drivers
The application comes with improved generation of the Coefficient Matrix and user-friendly search option.
- In-App Analytics that enables to do analysis on your Business Data
and Execution Performances
The Analytics module comes with a host of analytical capabilities - Raw Data Analysis, SQL Querying and Allocation Performance Analysis, PFT Data Insights, Ad-hoc Data Analysis, and Financial Statements Analysis.
The PFT Data Insights Report provides you with the Trend Analysis on the Direct and Indirect Incomes and Expenses components of your Income Statement. The Ad-hoc Data Analysis Report lets you perform ad-hoc analysis on Management Ledger data, while the Financial Statements Analysis Report enables you to perform analysis on the Financial Statement Reporting Lines derived out of the Management Ledger data.
- Standard Allocation Model
Standard Allocation Models are capable of logically grouping allocation rules into a single executable unit. More than one allocation rule can be executed at one go as a single unit of work.
- Enhanced feature for Allocation Rule creation
The Allocation Specification UI is enhanced with Active/Passive dimension containers to help users navigate easily while in Edit mode and apply the required dimensional constraints. The UI also has additional embedded objects of the Attribute Filter and the Group Filter, and the combination filters of 'Data and Attribute Filter' and 'Group and Attribute Filter'.
- Enriched Execution History UI
The enhanced Execution History UI has two new tabs of Allocation Execution History and Ledger Load History. The Allocation Execution History enables users to undo a previously executed allocation rule or to view the inline reports generated by the rule, while the Ledger Load History enables users to undo the results of a Management Ledger table data load.