{"id":23020,"date":"2024-05-14T09:23:35","date_gmt":"2024-05-14T07:23:35","guid":{"rendered":"https:\/\/res-group.eu\/solutions\/res-suite\/dali\/"},"modified":"2024-10-31T11:18:58","modified_gmt":"2024-10-31T10:18:58","slug":"dali","status":"publish","type":"page","link":"https:\/\/res-group.eu\/en\/solutions\/res-suite\/dali\/","title":{"rendered":"DaL\u00ec"},"content":{"rendered":"

DaL\u00ec<\/h3>\n<\/div><\/div><\/div>

Financial institutions face increasingly stringent regulatory oversight, requiring precise and transparent management of financial data.<\/p>\n

Key regulations such as the BCBS 239 by the Basel Committee on Banking Supervision, the General Data Protection Regulation (GDPR) in Europe, and financial reporting standards (e.g., IFRS 9) mandate that compliance officers and information system directors certify the integrity and accuracy of the data used in reporting.<\/p>\n

Therefore, a detailed and automated mapping of the data lifecycle has become critical to meet these requirements.<\/p>\n<\/div><\/div><\/div>

Currently, data lifecycle mapping within information systems is performed using automated tools mainly in cases of self-documenting software, such as certain ETL (Extract, Transform, Load) frameworks.<\/p>\n

For other data and systems, certification relies on manual analysis processes that are costly and time-consuming to maintain and update annually.<\/p>\n<\/div><\/div><\/div>

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THE SOLUTION: DaL\u00ec<\/h3>\n<\/div><\/div><\/div>

DaL\u00ec is RES\u2019 solution to reconstruct the data lifecycle of IBM Mainframe systems and Cloud systems by analyzing COBOL\/JCL languages and Java, respectively.<\/p>\n

The solution leverages on data collected with Docet\/EV, RES\u2019 cartography solution that is used by about 80% of Italian Financial Institutions.<\/p>\n

DaL\u00ec automatically generates a comprehensive map of relationships and dependencies among various applications within the software landscape.<\/p>\n<\/div><\/div><\/div>

Automatic analyzers streamline the work of certifiers and Data Managers by providing easily accessible information about data transformations within custom software present in the information system, even when using general-purpose, non-self-documenting languages.<\/p>\n

DaL\u00ec, easily integrable with third-party tools via API, makes all analyzed data and relationships available for compliance, certification, impact analysis, and business intelligence purposes.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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DaL\u00ec’S OBJECTIVES AND FEATURES<\/h3>\n<\/div><\/div><\/div>

Developed through RES’ nearly forty years of experience in software for complex information systems, DaL\u00ec offers an alternative to lenghty “manual” data lifecycle reconstruction within mainframe systems, significantly reducing the time needed to compile certified data for regulatory reporting.<\/p>\n

The solution saves operators time during setup and even more during subsequent semi-annual or annual updates of lineage information.<\/p>\n<\/div><\/div><\/div>

DaL\u00ec is designed to be easily integrated into custom client systems or within broader market solutions for dashboarding and certification that also encompass data lineage technologies beyond those offered by RES.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

BENEFITS<\/span><\/h3>\n<\/div><\/div><\/div>