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CompanyDeutsche Bank
RoleHead of Wealth Management Technology

Deutsche Bank gets portfolio insights faster with Infront's unified wealth infrastructure

Manual portfolio aggregation creates delays, reconciliation errors, and pulls advisors away from client work. Infront solves this with a single platform that brings together all your data and tools.

- Consolidate portfolio systems into one view, reducing time spent switching between applications
- Automate data aggregation to eliminate reconciliation errors and get accurate positions in real time
- Access integrated market data and portfolio tools so advisors spend more time advising clients

How Leading Financial Institutions Improved Operational Efficiency

Technology leaders at major banks have consolidated fragmented workflows and reduced costs through automation. These institutions report measurable improvements in client reporting accuracy and speed, while freeing teams to focus on higher-value activities. The results speak for themselves.

"Automation and outsourcing cut our costs by roughly 30%. We shifted resources from admin to clients exactly where they should be."

Philipp WilleGLSO Finanz AG

"Infront came along and were able to provide both under a single solution that was as deep in its content and capabilities, but at a fraction of the cost. Their technology is intuitive, easy to use and configurable to the individual."

Paul HarrisGHC Group

"The Infront WebTrader has boosted our business by making us relevant to the active trading segment. When our investment advisors meet with retail or private banking customers who want to invest actively themselves, we have this fantastic service available."

Mikko Ossian KoskiDanske Bank

Enterprise Technology FAQ

Key questions from technology decision-makers at large wealth institutions. These answers address integration requirements, data consistency, and technical risk mitigation when evaluating enterprise market data solutions.

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How does this integrate with our existing portfolio management systems?

The platform delivers market data through a unified API that connects to your existing infrastructure. This reduces manual data aggregation across disparate systems and allows your portfolio management tools to consume feeds without requiring separate vendor integrations for each data source.

How do we ensure consistent market data across all advisory touchpoints?

Standardized data feeds and unified entitlements prevent gaps in analytics and client reporting. All advisory channels receive the same market data, sourced from the same provider infrastructure, which eliminates discrepancies that can occur when teams pull data from multiple vendor platforms.

Can Infront reduce reconciliation errors when aggregating portfolios?

Yes. Infront automates portfolio aggregation workflows and consolidates data from multiple sources, reducing manual steps that introduce errors. Consistent data feeds and automated reconciliation checks help maintain accuracy across your positions.

How does Infront handle valuation and risk calculations at enterprise scale?

Infront delivers continuously updated calculations across your portfolios, applying standardized valuation methods and consolidated risk analytics. This ensures consistent results across large datasets and supports timely decision-making at scale.

What does implementation look like for a large institution?

Infront supports phased implementation tailored to your specific workflows. You'll work with a dedicated enterprise team to configure data feeds, reconciliation rules, and reporting structures. This approach allows you to validate results and adjust settings before full deployment.

Request Your Personalized Demo

Infront's unified data infrastructure and integrated modules can transform Deutsche Bank's wealth management operations by delivering consolidated analytics and continuously updated calculations. We offer a phased rollout that fits your existing workflows, reducing implementation risk. Schedule a tailored demo to see how our platform addresses your specific operational requirements.