Wall Street & Technology is part of the Informa Tech Division of Informa PLC

This site is operated by a business or businesses owned by Informa PLC and all copyright resides with them. Informa PLC's registered office is 5 Howick Place, London SW1P 1WG. Registered in England and Wales. Number 8860726.

Data Management

01:23 PM
Leslie Kramer
Leslie Kramer
News
Connect Directly
RSS
E-Mail
50%
50%

Harte-Hanks Trillium Software Delivers Data Intelligence & Governance Solution for Credit Risk and Compliance

New DIG solution combines powerful data management technology with targeted financial and governance services.

Trillium Software, a business of Harte-Hanks and enabler of Total Data Quality solutions, rolled out its Data Intelligence & Governance (DIG) solution specifically for the financial services and insurance industries and compliance market. The solution is a combination of powerful data analysis, data quality and reporting software technology, based on the Trillium Software System, with very targeted, packaged financial and governance consulting services, provided by Trillium Software. The DIG solution is aimed at helping banking and loan institutions, investment organizations and insurance companies validate information data, enabling executives, business users and data stewards to help achieve more efficient, auditable processes for governance, risk mitigation and compliance assurance.

"In light of recent problems in the financial services industry, it is critical for lending and investment institutions to better understand how information and data quality impacts their businesses, especially since they may be required to provide increasing levels of visibility and clarity about their data management and business processes," said Philip Howard, research director at Bloor Research, in a press release. "These organizations will continue to strive to deliver trusted data to their constituencies, and should consider turning to organizations such as Trillium Software for expertise and knowledge of how data quality can improve their business processes around credit risk assessment and governance," he said.

Data problems such as missing or inaccurate data, faulty information, multiple or siloed loan systems, and audit failures or process breakdowns can lead to risk exposure and governance decay. DIG provides a set of services and software focused on financial data and risk management that enables business users, risk managers, data stewards and information technology professionals to better understand and derive contextual data quality, or "data intelligence," from multiple data sources and databases. In this way, the solution includes built-in intelligence for and about the financial services industry to improve data validation, rules compliance, and business processes germane to the financial and insurance industries. It creates a collaborative technology framework with tools such as electronic scorecards, reports, and graphs for enabling data transparency and provably correct processes for critical data management and governance goals, mitigating credit or business risks and improving data reporting.

"Banks and lending institutions face the challenge of regaining stability and proving that the data supporting their risk positions is correct and accurate, thereby reducing uncertainty in their lending risk assessments and processes," said John Nicoli, managing director at Trillium Software, in a press release. "By utilizing our DIG solution with its built-in data intelligence, these organizations can achieve transparent, provably correct validation methods in order to promote compliance with government and legislation requirements and re-establish trust in the data that these organizations rely on for their business goals," he said.

Register for Wall Street & Technology Newsletters
Video
5 Things to Look For Before Accepting Terms & Conditions
5 Things to Look For Before Accepting Terms & Conditions
Is your corporate data at risk? Before uploading sensitive information to cloud services be sure to review these terms.