In the fifth session of Experian's Energy Symposium Series, our expert speakers discuss the importance of maintaining accurate client data during system migrations and modernization and how to ensure proper identity verification.
Data is at the heart of every organization. And data migration and ETL projects are important undertakings for many businesses as they underpin the success of many strategic initiatives.
Yet, despite the importance of data, half of these data migration initiatives fail to meet their objectives, with many of those
being abandoned after their budgets run out. Learn more from our white paper to see what you can do to make sure data migrations and ETL projects run smoothly and painlessly.
Most companies are likely to undergo a data migration project at some point. Our 2017 global data benchmark report revealed that 83% of data migrations fail or exceed their budgets and schedules. Given all this business investment, doesn't it make sense to invest in the quality of data being migrated before it costs your organization?
This white paper takes a look at the biggest obstacles in data migrations, how to complete a migration project in time and on budget, and provides a pre-migration impact assessment checklist to ensure your data migration success.
At Experian Data Quality, we believe data is at the heart of every organization, and the quality of that data is fundamental to future business success. If you're looking to implement a data quality program at your organization, it's likely that you'll need to present a case to your business's leadership. We surveyed more than 400 professionals around the globe who have direct experience with developing proposals for data quality to learn about the challenges they faced and how they achieved success. In this report, we discuss our findings from this unique study and provide proven best practices to help you expedite the process of putting forward a proposal for data quality. At the end of the report, you'll find a business impact worksheet that will help you to identify and quantify data quality needs at your organization.
Data quality is critical to a company's success with consumers, regulators and financial advocacy groups. Ensuring the credibility of reported data ensures compliance and increases competitive advantage.
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