What is a production-grade data application?
Data science and analytics have become an indispensable part of business strategy. Well-made decisions are rooted in actionable insights derived from good data. In the drive to boost efficiency, productivity, and revenue, data applications are becoming a key tool in the data science tech stack. Data and AI firms, such as Plotly and Databricks, are helping data teams gain a competitive edge through futuristic solutions.
Data applications breathe life into static visualizations and reports, allowing business users to see and interact with data to better generate key insights. As companies employ data applications at scale, data teams need to consider security, performance, and customization when sharing interactive insights with the wider org. In other words, data teams around the world are increasingly employing production-grade data apps to style, share, and scale data-driven insights.
Download this white paper to read more about:
- What is a data app and what makes one production-grade?
- How to use Plotly to develop, share, and scale production-grade data apps
- How the Plotly × Databricks partnership is powering AI apps, IoT time series at scale, and advanced analytics apps
- Real-life examples of production-grade data apps developed by S&P Global, CIBC Capital Markets, Uniper, and more