Articles

Paysafe—a global, specialized payment platform company that provides digital wallet, payment processing, and online cash solutions—was losing its battle with manual change management processes and metadata misalignment. Specifically, the finance team was struggling to keep its metadata hierarchies in sync, which in turn caused an increase in data integration failures, data reporting...

As a global leader in the manufacturing of automobiles, motorcycles, and power equipment, Honda’s finance transformation department depends on data sourced from many different divisions and business lines. Because the company produces a broad range of products, it’s easy for master data to be siloed within these divisions. This creates a lack of alignment across the organization.

In today’s highly complex business landscapes, metadata management plays a critical role in helping enterprises effectively manage and leverage their data assets. Ensuring metadata is accurate and reliable across the organization leads to improved data governance, data-driven decision-making, business intelligence, compliance, and innovation.

According to research conducted by Accenture1, 88 percent of corporate data never gets analyzed. This means that in today’s data-dependent business environments, many large corporations—including insurance providers—aren’t getting any value from the massive volume of data they collect.

System upgrades are disruptive for teams that rely on that technology for their day-to-day business functions. And when an upgrade also includes finding a replacement for software that is reaching the end of life, the process gets even more complicated.