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: Unlocking Transparency in Private Markets: Data-Driven Strategies in Asset Management

As asset managers continue to increase their allocations in private assets, the demand for greater transparency, risk oversight, and operational efficiency is growing rapidly. Managing private markets data presents its own set of unique challenges due to a lack of transparency, disparate sources and lack of standardization. Without reliable access, your firm may face inefficiencies,...

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

AI in Capital Markets Summit London

Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

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,...