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DASH ENTERPRISE

Production-Grade Data Applications for Finance Teams

Real-time insights, automated processes, and rapid, secure deployment for financial data applications. 

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Granular security and access management

Granular security and access management

Dash Enterprise ensures trustworthy, secure financial insights for the whole organization through measures like encrypted variables, platform-level SOC2 compliance, authentication integration, and more.

How finance teams at leading organizations use Dash Enterprise

  • CIBC

    “Dash has been a valuable outlet to make the best use of people’s skills and creativity. It allows people to very quickly turn an idea into a useful tool that can be used by the rest of the team.”

    Gareth Stoyle

    CIBC

  • Plotly

    "User friendly, saves 50% of time, and we have a new business model by sharing the insights to customers.”

    Lex Knape, Manager Data Science

    Ortec Finance

  • Intuit

    “Dash Enterprise marries the strengths of many tools into one — design beautiful dashboards and apply statistical algorithms behind the scenes. Adopting Dash Enterprise allows us to create tools and services that everyone at the company can leverage without the typical development cycle."

    Russ Zaliznyak, Principal Data Scientist and Experimentation Team Lead

    Intuit

  • Medium Enterprise Insurance Company

    "I have been using Dash for app development, and it has helped me convince stakeholders by illustrating to them how the developed models would work in practice.”

    Manager

    Medium Enterprise Insurance Company

  • Large Enterprise Capital Markets Company

    "We can share code, and given that Dash is a Python library, extend and integrate it easily into our ecosystem.”

    Engineering and Data Lead

    Large Enterprise Capital Markets Company

Financial data applications in action, with Dash

  • Quantitative analysis

    Quantitative analysis

    • A quantitative analyst at Credit Suisse builds an interactive, machine learning approach to credit risk assessment.
  • NLP consumer complaints

    NLP consumer complaints analysis

    • Plotly’s own application applying natural language processing (NLP) and segmentation to analyze consumer complaints.
  • Financial forecasting

    Financial forecasting

    • The University of Sydney provides the latest economic and financial forecasts of commonly used time series.

Additional resources

  • SHAP Clustering model

    Plotly was used to visualize the SHAP Clustering model powering local, global, and group-level credit risk management decisions of a machine learning model.

  • Excel webinar

    A technical workshop demonstrating how data professionals can streamline Excel workflows, processing large volumes of data with Python and Excel.

  • Data science in finance

    Dive into the world of data science in finance, where analytics and insights reshape the future of financial decision-making and innovation.

See Dash in action.

Sign up for a live demo to learn more about our Dash Enterprise offering.

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JOIN THE THOUSANDS OF INNOVATORS THAT ARE ALREADY BUILDING WITH DASH ENTERPRISE.

CIBC
S&P Global
Liberty Mutual Logo
Northern Trust Logo
Bain and Company
Intuit
Deloitte
Chicago Trading Center
Principal financial
Societe Generale

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