Insights as a service
Data is said to be "the new oil" in many industries, including financial services. Customer insights platforms make bank functions data-driven, automating the processes of data discovery, collection and enrichment by creating data insights that are easy to access and share securely.
Multiple data sources are used: data available to the bank (e.g., internal data, PSD2), billing data and data from external providers. The software turns these data sources into insights: valuable synthetic information generated by artificial intelligence algorithms and automatically crafted from the data assets.
Insights can be generated for multiple purposes, such as marketing (e.g.: profiling analytics), sales, and credit (e.g.: to identify potential situations of financial stress).
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Creation of synthetic data
Imagine being able to test your products or services at scale without having to wait the time it naturally takes to complete testing. Imagine also being able to use data that represents, in an extremely accurate way, production data, without being blocked by privacy regulations that govern the use of "Personal Data" (GDPR, CCPA, etc.).
All this is now a reality, thanks to Synthetic Data: artificially generated data that represents real data with a granularity that reaches the level of a single individual, drastically reducing testing times. Such data can be exploited for Marketing simulations, Research, AI and Machine Learning development and training or even Agile and DevOps development.
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