data management

Data lakehouse: the next logical step in data management?

Data lakehouse: the next logical step in data management?

Assessment of the data lakehouse concept for financial services providers.
Cityscape with abstract light trail as metaphor for "BIRD 5.0 – Opportunity for FinTechs and neobanks"

BIRD 5.0 – Opportunity for FinTechs and neobanks?

With Revolut, we took a fresh look at the BIRD initiative – Banks Integrated Reporting Dictionary – in terms of potential benefits.
Closeup view of businessman hand touching on smartphone. concept of digital diagram,graph as metaphor for the article "Actively and sustainably managing market data"

Market data—active and sustainable management

Optimization of market data by establishing an independent governance
Abstract image "data integration" in "the vision of company-wide data integration—bank-wide corporate dictionary 2.0"

The vision of company-wide data integration—bank-wide corporate dictionary 2.0

Company-wide integrated and harmonized data models at credit institutions as a solution for current and future challenges.
The market data trap / BankingHub

The market data trap – managing complex issues

How banks can manage and optimize rising costs for financial data vendors
Cybernetic eye with binary code as metapor for shaping a CDO unit

CDO agenda – shaping a CDO unit

competitive advantages through consistent alignment of organization and processes to data

Mining-driven process controlling, or: What does the process look like?

Analyzing process data based on banks’ current IT infrastructure.


Is RegTech the answer to regulatory efficiency?

Data—from regulatory burden to strategic asset

Integrated architectures offer more than one response to regulatory requirements.

Data Governance Target Operating Model

During the past few years, the banking industry has fundamentally changed. Fueled by the financial crisis, legislators and regulatory authorities have introduced an abundance

Big data in banking: Data lake instead of data warehouse?

IT departments of banks are increasingly facing the challenge that the need for settlement system-related information and data and their availability for analyses and

Regulatory required data quality as decision-making support

different regulatory requirements have been trying to further enhance the capacities of banks to cope with stress and crisis situations.


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