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: Are you making the most of the business-critical structured data stored in your mainframes?

Fewer than 30% of companies think that they can fully tap into their mainframe data even though complete, accurate and real-time data is key to business decision-making, compliance, modernisation and innovation. For many in financial markets, integrating data across the enterprise and making it available and actionable to everyone who needs it is extremely difficult....

BLOG

A-Team Group Announces Winners of the AI in Capital Markets Awards 2025

A-Team Group has announced the winners of the inaugural AI in Capital Markets Awards 2025, celebrating the most innovative and impactful applications of artificial intelligence and machine learning across the global financial markets. The new awards programme recognises technologies that have moved beyond proof-of-concept to deliver measurable value, supporting efficiency, resilience, and insight generation across...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Dealing with Reality – How to Ensure Data Quality in the Changing Entity Identifier Landscape

“The Global LEI will be a marathon, not a sprint” is a phrase heard more than once during our series of Hot Topic webinars that’s charted the emergence of a standard identifier for entity data. Doubtless, it will be heard again. But if we’re not exactly sprinting, we are moving pretty swiftly. Every time I...