Product
Conduct deep data analyses to quickly adapt in an ever-changing market by leveraging analytic flexibility.
D&B Analytics Studio is a cloud-based platform with the flexibility to meet your analytical needs. Combine your own data sources with Dun & Bradstreet data or alternative data sources. Built-in advanced analytics enable you to conduct deep analyses using predefined functions or your own code.
The volume of data can be overwhelming. A rapidly changing market, shrinking data resources, and a flood of automation tools that play different roles within your tech stack all contribute to a lack of flexibility to collect, assess, and analyze your data.
Accurate and timely analysis requires identifying the right data sources, correctly collecting data, and using the right tool to analyze and create actionable insights.
Access thousands of business insights to analyze, model, and quickly adapt to market changes.
Analytics Studio offers a depth and breadth of business insights and recency of business signals to deliver accurate models. Bring your own data, use 10 years of historical Dun & Bradstreet data that's updated regularly, or use one of our partners — all connected by our live business identity: the D‑U‑N‑S® Number.
Writing code and reading query returns isn't for everyone, and that's okay. Analytics Studio Visual Designer lets you drag and drop to easily build models or workflows and create dynamic dashboards.
Each organization, team, and individual are at a different point of their analytical journey. Leverage quick start options, robust modeling tools, and support for multiple programming languages, including Python, R, and SQL.
Data and analytics is an evolving space with frequent compliance changes. Feel confident building models in a secure sandbox that is SOC 2 compliant, ISO certified.
Explore data with point-and-click visualizations or build your own programming. Collaborate and share insights with interactive dashboards.
Build drag and drop models, workflows, and interactive dashboards with robust insight in a low code environment.
Build and manage models from experimentation to production, deploy for batch or real-time inference at scale, and monitor production workloads.
Build Robust data pipelines, automate and monitor production jobs using Scala, Java, and built-in notebooks and APIs.
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