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

LBBW Chooses Xenomorph for Data Management in Risk Control

Subscribe to our newsletter

Landesbank Baden-Württemberg (LBBW) has selected Xenomorph’s TimeScape data management system for use within its group risk control department. TimeScape was chosen to meet LBBW’s need for greater data transparency, higher data quality and faster access to ever-increasing volumes of market data.

“We had a requirement for a data management system that would give us much greater data transparency across the different departments,” said Peter Westphal, Project Manager from the risk control team at LBBW. “TimeScape meets these demands – increasing our capacity to centralise, store and consolidate multiple data sources, as well as increasing the speed with which this data can be analysed. The risk control team has the flexibility to create bespoke validation tests quickly. This delivers increased productivity not only within the risk department but across the whole organisation, as data is being published to lots of other departments, too.”

TimeScape offers an added dimension to data management as it is able to directly support unstructured data such as spreadsheet-like calculations in addition to supporting new and complex derivative data structures with ease.

“We are delighted that TimeScape has been chosen by LBBW – their choice validates our aim to develop a data management system that supports large volume, highly complex data in an easy-to-use and transparent manner” said Brian Sentance, CEO of Xenomorph. He added: “Data transparency is a large but underrated issue within data management, and TimeScape makes data and analysis available to both non-technical and technical users alike, increasing productivity across the enterprise.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Strategies and solutions for unlocking value from unstructured data

Unstructured data accounts for a growing proportion of the information that capital markets participants are using in their day-to-day operations. Technology – especially generative artificial intelligence (GenAI) – is enabling organisations to prise crucial insights from sources – such as social media posts, news articles and sustainability and company reports – that were all but...

BLOG

Data Quality Posing Obstacles to AI Adoption and Other Processes, say Reports

The rush to build artificial intelligence applications has hit a wall of poor quality data and data complexity that’s hindering them from taking advantage of the technology. Those barriers are also preventing firms from upgrading other parts of their tech stacks. A slew of surveys and comments by researchers and vendors paint a picture of...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...