Systemintegration for Financial Services


Data management

Data management

Successful data management is an urgent requirement for companies to remain competitive in the era of digitalization and lays the foundation for successful digital transformation. With a data strategy that is tailored to the company, the business is optimally provided with data and supported in its daily work and its strategic decision making.

Data management issues are included in numerous technical project initiatives (big data, data lake, artificial intelligence, machine learning) and ongoing bank-specific implementations (BCBS239, intraday liquidity, FinRep, GDPR). Our many years of experience show that all data-driven initiatives which are put into a company-wide context and coordinated contribute significantly to a project’s success. Our clients—banks, insurance companies and financial services providers—increasingly need to face the challenge of merging data from diverse sources, preparing it for analysis and developing new business models, products and customer services within a very short time. Optimization potentials exist in building trust in a company’s own data and creating a reliable data source, high and immediate availability, more expedient quality and the ability to analyze data.

Data Quality

Achieving a high level of data quality is a comprehensive task for the organization, flanked by the hard-wiring in processes and the use of appropriate software solutions. A data warehouse which supports the business in a targeted and optimal way and enables forward-looking tasks can thus be built and achieved. Preparing and visualizing data in a business context and by the specialist department represent additional disciplines demanding high data quality. The specialist department is enabled to understand and optimize its own data and to generate insights from it. This not only saves time and money, but motivates departments to gather more data.

Through many years of project work our consultants have gained expertise in the most diverse requirements posed on modern data management solutions. They connect data from varied sources, integrate it into data models and use best practice methods to achieve maximum data quality. All this while complying with and implementing the required governance and GDPR policies. They hold comprehensive knowledge of existing software solutions and are able to integrate them into existing on-premise and cloud architectures.

Their in-depth business knowledge in regulatory reporting, in regulations and in numerous other banking disciplines allows them to understand and analyze the needs of each specialist department. Here they never lose sight of the strategy: creating a forward-looking data architecture / foundation that is able to generate added value from data and fulfills the most important disciplines:

 

Discipline

 

findic’s range of services includes:

  • support in all data management topics with the aim of increasing the informative value and integrity of data
  • conceptual design and implementation of data intelligence to enhance the trustworthiness and reliability of data (glossary, catalog, lineage, metadata management)
  • conceptual design and implementation of “voice-of-the-employee”, empowerment of specialist departments by means of data preparation, self service BI and dashboards
  • “data alignment for the future”—conceptual design and implementation of a forward-looking and analytics-enabled data architecture (ingestion, integration, data modeling, SSOT, MSOF)