
APIs need to make changes: financial data applications are continuously developing. New instruments, modified data sources and additional functions therefore not only place requirements on individual applications, but above all on the underlying infrastructure. For banks, brokers, stock exchanges and FinTechs, the adaptability of their systems becomes a crucial quality feature.
Change is the normal case
“A financial data application is never finished,” says Sebastian Wrosseck. The reason lies in the dynamics of the financial market:New instrumentsare added, existing products are running out,Data deliveries changeand customers need further functions. These developments must be integrated into the ongoing operation without bringing out existing processing processes.
Good software development is therefore not only evident when starting an application. is decisive,how reliable they are with changescan handle.Data modelsmust remain expandable,Interfaces New Requirementsand updates can be integrated in existing processes in a controlled manner. At the same time,large data volumes stableto process and to provide for downstream systems.
Especially in financial data, this ability is of particular importance. Exchange rates, master data, key figures and further information are often used by several applications and teams at the same time. Adaptation at one point can therefore affect numerous processes. A resilient infrastructure must take account of such dependencies and make changes comprehensible.
Data quality needs comprehensible processes
Technical stability also includes the question of how transparent errors can be investigated. If data is not processed as expected, specialist and development teams must be able to identify at which point a deviation has occurred.Transparable processing stepshelp to limit causes and evaluate effects on linked applications.
A reliable handover to other teams is equally important. Data will only benefit if they are available in a consistent and comprehensible form.Clearly defined data modelsandstable API interfacesfacilitate digital product teams to implement new functions without shifting the complexity of data processing into each individual application.
This applies in particular to applications that provide stock exchange rates or other financial information Realtime. Speed alone is not enough. At the same time, the information must be reliably processed, unambiguously assigned and suitable for the respective usage scenarios.
control complexity where it arises
As a leading provider of financial data in the DACH region, ARIVA develops technology for companies that integrate financial information into real digital offers.ARIVA has been working since 1998with the question of how data can be generated, processed and provided for different applications.
The aim of a powerful financial data infrastructure is to make technical complexity manageable in the background. Because APIs have to stop changes. Thus, the applications can remain in the foreground and support users in handling financial information. For decision-makers:inside and digital product managers, this means: When assessing a data solution, it is not only necessary to count the scope and current performance. It is equally important to see whether the infrastructure can sustain any changes that occur.
Provides deeper information on the integration of structured financial informationtheARIVA contribution.
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