Posts in data
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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Super Funds Unwilling To Merge Seek Creative Alternatives

For many super funds, combining the best elements of two or more funds is an attractive venture, and in some cases, an inevitable one, with evidence and industry pressure behind it. APRA’s heatmaps still show 18 chronically underperforming super funds, and analysis from Super Consumers Australia estimates that mergers are leaving the average member $15,000 better off in retirement, primarily from fee-savings.

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Remediation Models In Financial Services Organisations

The ability to identify, scope and remediate customer account errors has become a key regulatory item in financial services. These issues can result in breaches and are thus “non-negotiable” with regulators.

Depending on the scale of remediation events, personnel and funding tends to swell and subside. The deeper you look, the more people involved, the more money you throw at it, the more errors you will find.  

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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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Eschew Obfuscation, Espouse Elucidation – How To Enhance Data Quality Governance With Third-Party Providers 

Even though reputable third-party providers have data governance frameworks and performance metrics in place, it is important to recognise inherent bias and that data quality governance is not often their core capability. Data quality must be independently and routinely monitored and validated. If access to the data can be obtained, an independent audit can often uncover widespread error for which regulatory breach and costly remediation is a legitimate risk.

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Coronavirus Economic Response Package: Data Assurance Content Pack - Investigate 

To better support Investigate clients with coronavirus related measures affecting superannuation administration, QMV has released a data assurance content pack dedicated to staying on top of the Coronavirus Economic Response Package.

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Superannuation Funds Brace For Possible Deluge Of $10K Early Access: COVID-19

In response to the ongoing COVID-19 pandemic, the Australian government has passed legislation to allow affected individuals early access of up to $10,000 from their superannuation. Due to the fast-paced nature of the crisis, superannuation funds and administrators are working vigorously provide members with the services and information they need.

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2020 Top Five Challenges Life Insurers Face - Chance it or Change it?

Established life insurers currently face the biggest challenge of their reign keeping pace with today’s rate of technological change. Increasingly, better informed customer bases combined with more data than ever before, legacy systems and heightened regulatory scrutiny make transitioning to more innovative, value-driven systems highly challenging.

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Putting Members’ Interests First Reforms: Data Assurance Content Pack - Investigate

QMV is pleased to release a data assurance content pack dedicated to helping trustees to monitor compliance with the Putting Members’ Interest First reforms. This pack complements existing definitions and rules content available across Investigate including the recent Protecting Your Super data assurance content pack.

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QMV To Exhibit At ASFA 2019 - Melbourne Convention Centre And Exhibition Centre

QMV is proud to exhibit at ASFA 2019 Australia's flagship event for superannuation professionals and associated service providers. We collaborated with Tonic Alchemy to develop a range 100% natural tonics with super healthy properties to help you get through the three days with a kick! Visit QMV at stand 24 and take a shot or two. You might need it!!

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Reducing Data Remediation Costs - One Simple Step Delivers A World Of Difference

The digital age of customer information opens vast opportunities for financial institutions from providing tailored solutions, omnichannel experience and innovative avenues to communicate with customers. 

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The Rise And Rise Of Automated Testing For Fintech Products  

Testing of fintech products and platforms is increasingly a mix of human and automated testing thanks to advancements in technology, machine learning and artificial intelligence. The movement away from manual work can allow financial services organisations to boost product development, improve efficiencies, enhance quality and mitigate risk.

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Data Remediation Activities Will Not Disappear; Nor Should They

The Hayne Royal Commission rightfully and very publicly raised a question mark over the quality of customer data held by financial institutions. It also highlighted that data remediation – the cleansing, organisation and migrating of data – after costly and often lengthy investigation, warrants greater focus.

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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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Correcting Past Wrongs – The Gold Standard In Financial Services Data Remediation

Many data remediation programs are only started after an issue being brought to light by a customer or group of customers: often upon investigation, this gives rise to a slew of other issues that may have been impacting thousands of customers across several years.

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