Data governance
We faced numerous data and processing challenges that were causing our major strategic reporting and control programme to fail. We faced critical delays, production outages and performance problems.
Regulatory initiatives including BCBS 239, Solvency II and MiFID II have brought data governance to prominence throughout the financial services industry. The basic principles defined in the regulations are best practice in the data space and an area where Kinaesis bring competitive advantage. By focusing on the organisation, management and understanding of data assets, business can create huge opportunity and rapidly improve performance.
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Data discovery
Modelling data from first principles is a lengthy and time consuming exercise that tends to end in failure due to the fact that semantics exist in content as well as structure.
Use advanced, agile, data flow analysis, profiling and data quality assessment to rapidly deliver data models that represent true semantics and business rules.
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