Plotly's open-source graphing library, Plotly.js, powers the charting capabilities of many insurance and reinsurance analytics platforms. Plotly 's collaborative analytics platform serves teams building internal dashboards and reports in Python, MATLAB, R, and Excel.
Car insurance provider Goji uses Plotly Enterprise and the Plotly Python client for all their internal dashboards on sales performance. By switching to internal tools built on Plotly Enterprise, they were able to save over a hundred thousand dollars in BI infrastructure because they no longer needed to pay for traditional data warehouse functionality. Read more in the full customer story linked below.
Plotly is used for stochastic simulations and Monte Carlo methods in MATLAB, R, and Python. Graphs from these analyses are embedded in web dashboards and reports for easy sharing.
Plotly allows financial analysts to use the languages that they know - R, Python and the MATLAB Finance Toolbox - but draws publication-quality graphs using D3.js.
Plotly choropleth and bubble maps are ideal for comparing regional sales performance. Plotly maps are drawn in D3.js, but can be made in Excel or a language familiar to financial analysts such as R, Python, or MATLAB.