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: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

Private Markets Data Opportunities Under the Microscope: Webinar Preview

As institutional asset managers accelerate their allocations into private markets, they often find themselves facing an alien landscape when it comes to data. Used to the data-driven systems that power public capital markets, investors in private markets, including private equity and private credit as well as alternatives such as property, must contend with greater opacity,...

EVENT

TradingTech Summit New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

High Performance Technologies for Trading

The highly specialised realm of high frequency trading without doubt is a great driver for a range of high performance technologies that are becoming essential tools for Wall Street. More so than the now somewhat pedestrian algorithmic trading and analytics/pricing applications that are usually cited as the reason that HPC is hitting the financial markets,...