DASH ENTERPRISE
Production-Grade Data Applications for Financial Services Organizations
Rapidly build dynamic, flexible financial data applications with secure deployment. Share automated processes and insights in real time with your team and stakeholders.
How leading financial services companies use Dash Enterprise
“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
“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
“In an external application going to clients, everything from the engineering, to the models, to the UI, to performance testing requires a lot of effort and building. Dash effectively allows us to accelerate the process.”
Onik Kurktchian
Head of the S&P Global Marketplace Workbench, S&P Global Market Intelligence
Data science applications in finance
Dash Enterprise powers thousands of complex data science and financial analytics use cases for Fortune 500 companies in the financial services sector.
Banking and Investment Services
Build complex data applications — optimizing investment strategies, managing risks, and advanced predictive modeling — to serve you in the investment banking sector.
Investment and commercial banking
Help drive financial growth and business expansion for your clients with tailored investment and commercial banking data applications.
Wealth management
Build custom data applications capable of delivering personalized wealth management solutions, comprehensive financial planning, investment management, and estate planning services to individuals and families.
Capital markets
Track global financial markets with data science applications, to better tackle the ups and downs of capital markets with expert insights and strategies.
Mergers and acquisitions
Approach M&A with confidence backed by data — strategic planning, due diligence, negotiation — to capitalize on growth opportunities for better value creation for the org.
Financial Planning and Analysis
Budget allocation, forecasting, and advanced financial analytics require highly custom and collaborative reports and data apps — all possible with Dash Enterprise.
Quantitative analytics
Experience and build advanced quantitative analytics data applications for your organization to strategically use statistical models and machine learning algorithms for optimized operations.
Derivatives pricing
Build and share applications that optimize derivative investments with accurate pricing models for informed decisions and effective hedging strategies in volatile markets.
Risk management
Make it easier for your stakeholders to collaborate on mitigating investment risks and protecting shareholder value with interactive risk management applications.
Portfolio management
Manage diversified portfolios specific to your company's financial goals and risk management strategies, with proactive and continuous data analytics, monitoring, and reporting.
Sustainable and Commodity Finance
Apply data science to measure and report on the impact of sustainable investment strategies, to support your firm's environmental, social, and governance goals.
Sustainable finance
Explore sustainable financial solutions for socially responsible investing, integrating ESG factors for long-term value and positive social and environmental impact.
Commodity trading
Give your stakeholders access to deeper market insights for strategically executing commodity investments, ensuring sustainable and responsible resource allocation while capitalizing on price movements.
Financial regulation
Oversee and enforce the rules regulation of financial services and control risk, while managing consumer protection, trade safety, data governance, and more.
Why Dash Enterprise?
Granular security for trustworthy, secure financial insights — encrypted variables, platform-level SOC2 compliance, authentication integration, and more.
User-friendly, simplified front-end development to design beautiful application layouts.
Pixel-perfect reporting — create, annotate, and automate shareable PDF and email reports in real time.
Ability to scale hundreds of millions of data points and sources into actionable insights while retaining snappy performance.
Bespoke themes and templates for custom, branded data apps without writing a line of CSS.
Data integrity and user convenience by securely embedding data apps into password-protected sites.
Bring advanced analytics and interactive, production-grade data apps to your financial services org
Data science teams at leading financial services organizations are benefitting from going beyond basic reporting and legacy BI. These teams are quickly deploying custom data apps for complex use cases that support the entire org in better decision-making.
Sophisticated, good-looking, and production-ready data apps that integrate smoothly with your existing tech stack and secure infrastructure — contact us to see how you can bring the future of data science and analytics to your team and company.
Additional resources
Plotly was used to visualize the SHAP Clustering model powering local, global, and group-level credit risk management decisions of a machine learning model.
A technical workshop demonstrating how data professionals can streamline Excel workflows, processing large volumes of data with Python and Excel.
Dive into the world of data science in finance, where analytics and insights reshape the future of financial decision-making and innovation.
Financial data applications in action, with Dash
Quantitative analysis
- A quantitative analyst at Credit Suisse builds an interactive, machine learning approach to credit risk assessment.
NLP consumer complaints analysis
- Plotly’s own application applying natural language processing (NLP) and segmentation to analyze consumer complaints.
Financial forecasting
- The University of Sydney provides the latest economic and financial forecasts of commonly used time series.
See Dash in action.
Sign up for a live demo to learn more about our Dash Enterprise offering.
