Data Management

Data Management

In today’s financial industry, data is becoming increasingly important and forms the basis of all business processes. This includes securities master data, IBOR data and ABOR data, rating data, indices and benchmarks, ESG data, licensed information, personal data, reporting data and customer data. Much of this data includes sensitive information. With the ever-growing amount of data and the continually new regulatory requirements, a careful and controlled handling of data is becoming both an increasing challenge and a necessity.

The Anadeo services in data management include:

  1. Data analysis: Anadeo enables its customers to gain valuable insights from their data to make informed decisions. Anadeo uses suitable tools as part of such analyses As part of Anadeo’s analysis, we use dedicated tools. In addition to tool-supported analysis via dataspot, Anadeo offers a wide range of approaches, including data lineage and data glossary, to simplify the handling of data in complex IT landscapes and to ensure data quality. Data lineage is an essential concept to ensure the traceability and transparency of the data used.
     
  2. Use of data: Data does not have an end in itself but rather serves, among other things, to deliver an effective task processing. Accordingly, it is important to generate added value from it. Even when neither a system changes or an implementation of new components are planned, data sets are constantly growing and their use and life cycle must be constantly monitored. Data for test systems must be anonymized, historical data must be archived or deleted, and release upgrade can impact the data structure.
     
  3. Data integration: In particular Anadeo supports its customers in linking the data together and ensuring that it can be processed seamlessly. This is particularly important when different data sources must be processed in a coherent manner. New data must be continuously integrated into the system landscape. Anadeo implements tailor-made interfaces to ensure the automatic data processing in the relevant systems. Anadeo analyzes and understands existing sources as well as new data sources in order to design the right interfaces. Whenever the standard interfaces cannot cover the clients’ requirements, Anadeo designs and implements individual interfaces.
     
  4. Data Cleaning: High quality data is crucial. Anadeo supports the cleanup of the data and ensure its consistency.
     
  5. Data migration: Whenever the clients implement a new system, Anadeo ensures that the data is correctly migrated. Anadeo designs the business and technical requirement related to the data migration and take care of the execution. In addition, Anadeo creates tools to automatically process, extract, transform, map, as well as import and reconcile the migrated data.
     
  6. Data archiving: Anadeo supports the business analysis and implementation to archive and store the data securely, taking legal regulations and data protection regulations into account.