Posts tagged data quality software solution
What Does CPS 230 Mean For Superannuation Funds

The Prudential Standard CPS 230 sets out stringent requirements for operational risk management in the superannuation industry. By implementing a robust framework and adhering to these requirements, APRA-regulated entities can effectively manage operational risks, maintain the continuity of critical operations, and enhance their resilience to disruptions. This, in turn, contributes to the stability and integrity of the superannuation industry, promoting trust and confidence from customers, stakeholders, and regulators alike

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Case Study – Managing Annual Member Statements With Focus On Data Quality - Downloadable Case Study Investigate DQ

Often, large scale data activities like generating annual statements requires data being transferred between systems and external providers. This can leave superannuation administrators exposed if they are experiencing data quality issues leading to loss of reputation and increased rectification costs.

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Case Study – Advice And Implementation Of Administrative Error Remediation

Most organisations don’t plan for remediation, their approach is often disjointed, reactive and inefficient. As leaders in remediation, we understand the importance of accuracy, timeliness and communication. At QMV, we believe specialised remediation experts with developed processes, calculation models and the right technology can fast-track remediation work, deliver quality outcomes and reduce costs.

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Case Study – Key Elements For Flawless Execution of Large-Scale SFTs

A high-performance mentality that promotes collaboration and information exchange is fundamental to realising a fund’s key objectives like developing tailored strategies and products, better meeting member expectations and various uplifts across automations, data quality, emerging technologies and compliance.

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Optus data breach and what it means to your members - Investigate DQ

There has never been more reliance and importance on data to provide administration of consumer products effectively and efficiently. The Optus data breach is a significant and public example of data may be used for fraudulent purposes, however, there is an ongoing risk that must be mitigated to ensure that, regardless of scale or publicity, consumer interests are protected as much as possible.

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Mastermind Thinking Required For Whole-Of-Fund Digital Transformation

As the industry moves away from ad-hoc or project-based optimisations to more holistic and integrated digital capability, the fund needs ‘mastermind’ thinkers on the transformation program ideally with the trifecta of technology, data and superannuation pedigree.

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Business-As-Usual To Total Business Transformation: Investigate Use Cases

Investigate data quality management platform begins transforming customer and organisation data quality on day-one, enabling financial institutions in their pursuit of data-driven business growth.

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What Are The Most Common Data Errors In Financial Institutions?

Customers expect financial institutions to correctly calculate their financial position and to know exactly who they are. No one wants to be at a loss, especially when it is someone else’s fault. A miscalculation, an administrative mistake, lack of insurance coverage, or other errors, can cause customers to feel wronged, robbed, not cared about or even marginalised.

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Post Royal Commission World – Why Is Financial Services Customer Data Prone To Error? 

The Hayne Royal Commission raised a question mark over the quality of customer data held by financial institutions and emphasised that action after the fact via costly data remediation events was not good enough. In a post royal commission world, it is important to know why customer data is so prone to error. 

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Investigate v6: Reporting For Duty

At QMV, we believe that robust data quality management practices not only increase member engagement but also help solidify members’ trust in the company. Recognising a growing demand for more control and customisation around reporting, QMV are very pleased to present the latest version of Investigate featuring some significant enhancements that reaffirms our commitment to meeting our customer’s needs for superior data quality management.

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Data Remediation In Financial Services – Triggers, Execution, Controls And Continuous Improvement

Data remediation activities in financial services will never cease. The best that can be achieved is significantly reducing the frequency and scope of remediations over time. This paper is a brief discussion of the triggers, execution and controls associated with data remediation events and can be applied to superannuation, wealth management, banking and insurance.

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