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ABSA Capital South Africa Selects Trillium Software for Data Compliance

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Trillium Software, a business of Harte-Hanks and a leading enabler of Total Data Quality solutions, today announced that Absa Capital- the investment banking division of Absa Bank and affiliated to Barclays Capital, has selected the Trillium Software System to assess the quality of data and ensure it is compliant with key business process requirements. The implementation forms part of a wider agreement with Trillium Software reseller Master Data Management CC (MDM CC) to assist with the practical implementation of a data governance framework.

“As a bank that places its customers at the centre of all it does, client static data underpins everything. From identifying new opportunities, to credit risk management, to accurate regulatory reporting, quality data is essential,” said Ian Kriegler, CIO at Absa Capital. “We wanted partners with both strong technology and solid local expertise. MDM CC and Trillium Software provide this combination.”

Absa Capital offers investment banking and related services in South Africa and sub-Saharan Africa. Data quality is recognised as a critical success factor for numerous strategic projects, as Absa Capital continues with its initiative to streamline operations and increase accuracy and consistency throughout the trading life cycle.

Master Data Management CC expects the data governance framework to extend the successes from client static into other areas in the business, such as to the trade store and credit risk management. A data metrics and reconciliation framework, built using the Trillium Software System could enable data owners and custodians to assess the compliance of data to business requirements. Data custodians can also quantify requirements (such as system enhancements or additional staff) that are necessary to meet agreed-upon service levels in a cost-effective way.

“If data governance is not pragmatic and measurable, then it cannot add value,” said Gary Allemann, managing director at MDM. “Our approach allows the business to quantify perceived data quality issues and focus remediation where it is actually required.”

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