White paper: Bridging the gap between data science and decision-making in financial services
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To stay competitive, financial firms are facing an urgent need to modernise and better apply data science for their decision-making processes.
They encounter several key challenges including achieving efficient communication of data insights, handling large and complex data sets, and boosting team productivity. There is also a pressing need to democratise data accessibility across all company levels, not just for data scientists, and to eliminate inefficient processes in order to spur innovation.
This white paper discusses such challenges and proposes potential solutions to help teams speed up insight delivery, improve collaboration, and enable company-wide data-driven decisions, all of which can secure improved competitiveness in the sector.
The “Bridging the gap between data science and decision-making in financial services” white paper is brought to you by JetBrains Datalore.
