In the second of a three-part blog series, we will examine how regulator-driven reporting standards and data integration initiatives are attempting to propel reporting, accounting and auditing into the digital age, and what this means for your data management strategy.

Of the coming wave of regulatory initiatives that we foreshadowed in part one of this series, perhaps none of them are more urgent than reporting requirements that institutions face in just the coming year. On January 1,

We announced MarkLogic’s partnership with MuleSoft earlier this year, along with the availability of the MarkLogic Connector for MuleSoft on the MuleSoft Anypoint Exchange. With the Connector, developers can easily use MuleSoft to connect MarkLogic to other applications, data and devices.

We are now excited to announce the newest release of the MarkLogic Connector for MuleSoft. The new release includes multiple new capabilities and enhancements aimed at improving support for data

At a recent roundtable event hosted in partnership with Insurance Post, we met with a number of c-suite insurance executives to discuss the pressures that increasing regulatory requirements are placing on the industry and how best to overcome the numerous challenges these create. This conversation is one being replicated across the industry as insurers face pressure to comply with new regulations at every turn.

Most recently, the industry faced the challenge of meeting the EU’s General

This is the first in a two-part blog series that focuses on automating and improving data reconciliation. In part one, we will examine the challenges associated with increased automation, the value of improved data reconciliation processes and look to the future of this critical function. In part two, we will cover the role of data integrity as a foundation for improving the performance of the reconciliation lifecycle and how MarkLogic customers are using a data hub to improve

Data integration initiatives create untold burdens on IT teams. I reached out to four veterans of data integration to identify those tasks they thought caused the biggest challenges. Not surprisingly, answers surrounded areas such as knowing your data and data mapping. But what also emerged was the cultural and organizational commitments to change – and actually leveraging integrated data. The final burden was dealing with the sometimes capricious and ever-changing deadlines – set by