3i Infotech has released a new version of its client reporting solution that includes new data provision and modelling features, which the vendor claims is aimed at reducing the burden on data providers and adding value to reporting. Reporting to Clients 2.0 is a response to the requirement for greater transparency in the market, says Ian Hallam, product director of 3i Infotech for Western Europe.
The solution incorporates further data collation and workflow tools, together with monitoring screens to enable managers to view progress, says the vendor. It provides a drag and drop definition screen that is aimed at allowing users to define processes to mirror their business processes. It also has a new task allocation facility for human interactive tasks to be allocated, completed and monitored.
Users can create and maintain their own data tables within the application’s database for use in the reporting process and can be used to define data that may not readily be available elsewhere, claims the vendor. Several enhancements have also been made to the entity level of the modelling facility such as the inclusion of simple data filters to enable the retrieval of a sub-set of data from within a larger data set.
There is a new data pivot that provides the ability to pivot rows of data to assist charting, says 3i Infotech. A feature has been added that allows the data within an entity to be specified as compulsory at an instance level helping to ensure data quality prior to report generation. There is also a new entity type of reference that has been added and the ability to enhance dynamic data with reference data. According to the vendor, this facility helps to provide consistency across data from differing sources by providing a common reference data pool
A distinct data facility is included to enable entity data to be ‘unique’, which can be employed to define data hierarchies from within flat data structures such as delimited files and thus provide greater flexibility of template design, says the vendor.
This inclusion of wider data specific functionalities within a solution such as this is indicative of the rising importance of transparent data management within institutions. As has been noted by many conference speakers over the last few months, firms are increasingly concerned about providing more transparency and accuracy around reference data and vendors are taking notice of this.
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