About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Siperian Launches New Data Governance Application for its MDM Hub

Subscribe to our newsletter

Master data management (MDM) platform vendor Siperian has launched a new data governance application for its MDM Hub, which it says is aimed at allowing data stewards to more effectively manage and monitor master data. The solution, which it has dubbed Siperian Business Data Director, is web-based and also allows downstream data users to create and manage master data directly, while adhering to data governance procedures and policies, explains Peter Caswell, president and CEO of the vendor.

“Traditionally, data management is entrusted to a small group of data stewards who, on behalf of the entire enterprise, create, maintain and monitor the correctness, consistency, and completeness of master data,” says Caswell. “Siperian Business Data Director takes that paradigm to the next level by empowering business users to become the direct authors, managers and consumers of master data enabling them to drive real-time business efficiencies and achieve greater ROI.”

However, the ability to create master data is not a free for all, according to the vendor. Siperian Business Data Director allows only the appropriate owner to create, review and approve the data before it can be consumed in order to ensure that correct and complete data is created from the outset, resulting in reduced downstream data management issues, says Caswell.

To this end, the solution includes native workflow capabilities to enable business users to collaboratively create data directly within the Siperian MDM Hub and govern the approval process. The vendor has also added in a task oriented user interface for data stewards to simplify the data quality checking process and several deployment options for IT users, says Siperian.

As noted recently by Vinay Pampathi, executive director of Daiwa Securities’ technology division, downstream issues are frequently the cause of data management challenges. Consistency of data across the various downstream systems is key to maintaining data quality, he told attendees to a recent conference. The vendor community seems to be taking notice of this requirement and there are likely to be more new launches in this space over the next six months.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Inaugural AI in Data Management Summit NYC Sets New Benchmark in AI Discussion

A-Team Group’s inaugural AI in Data Management Summit NYC set a new benchmark in the global discussion around artificial intelligence. Leading figures from the worlds of finance and technology gathered in New York to share best practice guidance and observation, real-world case studies and forecasts for the exciting – and challenging – year ahead. The...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Data Lineage Handbook

Data lineage has become a critical concern for data managers in capital markets as it is key to both regulatory compliance and business opportunity. The regulatory requirement for data lineage kicked in with BCBS 239 in 2016 and has since been extended to many other regulations that oblige firms to provide transparency and a data...