Datactics is ideally positioned to meet the specific data requirements of firms operating in the financial sector as they prepare for emerging regulations. We provide sophisticated tools to help financial institutions get their data in order and quickly respond to new standards.
We offer agile data quality and powerful matching software for reference, entity and instrument data that is designed to be operated by Data Analysts and requires no coding or programming to configure complex data workflows. This agile nature helps to get projects off the ground and into production very quickly. The powerful matching capability allows firms to field map across instruments and identifiers and the proprietary ‘fuzzy logic’ helps to de-duplicate records.
Datactics helps firms to make sense of their big data warehouses by rapidly profiling to spot potential errors and identify patterns. The tools can then improve the quality of the data and link disparate datasets together in order to get an improved view across the enterprise. The tools may be deployed by Data Scientists to build sophisticated data cleansing, re-engineering and matching projects, or as an overall enterprise platform for managing a global workflow on large data quality projects.
Our expert analyst, development and commercial teams have many years of combined industry specific experience and the Banking + Finance sector represents a strong focus area within the company going forward.
“The Datactics solution is an order of magnitude better than Python code. It is quick and effective in producing high quality data for the credit risk model, we can see the audit trail all the time, and we can generate high predictive accuracy scores. Every 1% improvement in predictive accuracy creates an additional $1 billion of bond defaults that we can predict.”
Managing Director of Cardinal Analytics