Financial Modeling in Dataiku

Through the lens of financial modeling techniques, see how Dataiku mitigates the known limitations of spreadsheets and similar tools.

FP&A at Standard Chartered Bank: Building Collective Intelligence
with Dataiku

On average, two people armed with the Digital MI team's applications in Dataiku are doing the work of about 70 people limited to spreadsheets. That means increased analyst productivity by a factor of 30 by replacing spreadsheet-based processes with governed self-service analytics.

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Machine Learning Based Fraud Detection in Banking

Fraudulent actors are always looking for new ways to subvert legitimate transaction systems; traditional rules-based approaches are no longer sufficient (or efficient enough) to combat fraud. In this webinar, we’ll discuss best practices and examples on how machine learning can improve fraud detection capabilities.

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Accelerate ESG Embedding in Financial Services

Discover how financial organizations can leverage a collaborative data science platform to effectively navigate the challenges associated with ESG embedding and deliver high-value transformation across the financial services value chain.

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Democratizing Automated Forecasting at Mercedes-Benz

Mercedes-Benz enables people on the finance team to combine their expertise with state-of-the-art machine learning using Dataiku.

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