Business leaders are fast adjusting from collecting data to extracting value from it by creating better customer and employee experiences, modernising existing products and services, or creating new revenue streams and business models.

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.

Investigate is designed to uplift performance of critical day-to-day functions that rely on accurate and complete data including personalised customer interactions, general correspondence, regulatory compliance, account calculations, platform transitions and so on. From there, the stage is set to achieving bigger things.

Investigate’s true value is however realised in supporting data-driven strategic growth and business transformation. Organisations who have immediate access to rich and accurate data will advance faster and to a greater extent than their rivals. Business transformation, strategic decision making, automation, artificial intelligence and machine learning are voided if the data analysis is performed on poor quality data.

Use cases for Investigate data quality platform

1. Business as usual data quality

Execute routine data quality checks across all data sources, all at once. Find and fix data discrepancies and issues as soon as they occur.

2. Identify data errors instantly

Be alerted to data errors before the customer or organisation are impacted. Avert the cost and reputation loss of large-scale remediation events by addressing these sooner.

3. Reconcile disparate data sets

Uphold completeness, accuracy and uniformity of data held across disparate technology platforms. Visualise organisational data in a single view.

4. Remediation management

Avert data remediation scale events and reduce data remediation costs with error identification, tracking and auditability.

5. Customer correspondence

Preserve customer trust and confidence in the quality and accuracy of interactions, correspondence and financial statements.

6. Optimise platform transitions

Enhance digital transformation and maximise new technology investments by cleaning data in legacy platforms prior to transitions.

7. Enhanced reporting

Demonstrate industry leading data governance with high quality reporting to regulatory, third-party and internal stakeholders.

8. AI and machine learning

Deliver intuitive customer and employee experiences with the right personalisation using data that is correct, complete and validated.

9. Data analytics and BI

Make tactical decisions with daily access to rich, clean and accurate data. Be responsive and agile with the benefits of clean data.

10. Data-driven business transformation

Exceptional data quality enables evidence-based strategic decision-making informing business transformation initiatives.

These use cases may sound like familiar challenges to organisations and with Investigate playing a critical role in data quality, can be met quickly and effectively to help drive business growth.

Please contact QMV if your organisation would like to learn more about Investigate data quality management.

Tom

Tom Seel - Product Manager, Technology

Request a Demo today.

If your organisation needs assistance with data quality, QMV can help. Please reach out to QMV for further information on p +61 3 9620 0707.

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QMV provides independent advisory, consulting and technology to superannuation, wealth management, banking and insurance organisations. 

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