Business-As-Usual To Business Transformation: How Investigate DQ Can make your business better
Journal
Business leaders are fast adjusting from simply 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 DQ begins transforming customer and organisation data quality on day-one empowering enterprise organisations in their pursuit of data-driven business growth.
Investigate DQ 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 DQ's true value is 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 simply "buzz words" if the underlying data is of poor quality.
How Investigate DQ platform can transform your business
1. Business as usual data quality
Execute routine data quality checks across multiple data sources, all at once. Find and fix data discrepancies and issues in real-time.
2. Identify data errors instantly
Be alerted to data errors before the customer or your business is impacted. Avert the cost and reputation loss of large-scale remediation events by addressing issues sooner.
3. Reconcile different data sets
Uphold completeness, accuracy and uniformity of data held across different technology platforms, across your business. Visualise data and enable audit, review, investigation and management of data issues.
4. Remediation management
Reduce data remediation scale events and 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 Business intelligence
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 DQ playing a critical role in data quality, can be met quickly and effectively to help drive business growth.
Tom
Tom Seel - Product Manager, Technology
