Sprint the last mile of data science
Analytical apps deliver insight and value; they capture imagination and promote inspiration. They are the human sensory layer for data, analytics, and ML. Our clients choose Plotly for analytical apps because we’re unbeatable in 3 core areas:
⏱Speed and efficiency of delivery: Our customers are consistently blown away by our beautiful and responsive analytical apps delivered in days, not months.
📚Expertise: We have worked on hundreds of projects in the finance, tech, oil & gas, manufacturing, and government sectors. Your project can’t be in better hands.
🏆Future Proof: We use Open Source technologies and utilize frameworks like Python and R that data scientists already use and understand.
Plotly’s Consulting & Training empowers data scientists to become one-person armies, cutting out full-stack multi-team engineering efforts and boosting productivity enormously. Our workshops are fully remote and customized to your use case. Here are a few results from recent “empowerment” workshops:
💻Replacing Spotfire: We recently upskilled a data analytics team with little programming knowledge to replace static Spotfire views with dynamic, mission-critical Dash applications.
📊Going Beyond Excel: We enabled a lean team of analysts to migrate a heavy Excel workbook into a beautiful, interactive Dash application, streamlining their workflow.
Plotly develops and maintains the fastest growing, most popular open source visualization and application development libraries like plotly.js, plotly.py, and Dash. By engaging with Plotly, organizations can ensure that the features they need will be available when they need it. Here are a few examples:
📈New Chart Types: Scattermapbox, Choroplethmapbox, Carpet, Splom, and WebGL-enabled scatter plots are just some of the charts we're working on.
🚜Performance: Plotting millions of scatter points, rebuilding SVG-based charts with WebGL, and server-side pagination—funded directly for customers.
📋Interactive DataTable: Dash’s DataTable project was funded directly by three public & private organizations as an MIT licensed, Dash-native spreadsheet.
Orica - BlastIQ
Orica was looking to improve the blasting and drilling process for their mining operations. They needed to better visualize the execution of actual vs modelled blast data. Plotly's Consulting & Training delivered a Dash app that provided valuable information on the mining tolerances and established a benchmark for improvement.
Dex Clothing - MNIST Explorer
Dex Clothing needed to optimize their garment-sorting process. Plotly's Consulting & Training helped Dex implement an AI visual search system to better categorize their garment images. The result of this Dash app was an automated image categorization process and streamlined supply chain operations.
S&P - Trucost
Plotly's Consulting & Training helped S&P transition to Python and build rich interactive reports through Dash Enterprise, streamlining their workflow.
“It was a pleasure working with Plotly. The Trucost team is excited to have expanded capabilities that support conveying insights to companies and institutions on how the private sector is impacting and contributing to global progress towards sustainability.” —Rochelle March (S&P)
Major Canadian Retailer - Demand Transference
A major Canadian retailer wanted to elevate their inventory management system. They needed an automated way to analyze seasonality, location, and consumer buying behaviour. Plotly's Consulting & Training created a Dash app that utilizes Sankey data vis to solve the demand transference problem and optimize their retail operations.
Meet some of our experts!
As the creator of Dash, Chris leads development efforts to make the framework the easiest, fastest language-agnostic way to build, test, and deploy interactive analytic applications. As data science teams become a standard, Chris wants to ensure that even the most advanced analytics insights are accessible by everyone—whether or not they know how to code.
Alex Johnson, PhD
Nicolas leads Plotly's Graphing Libraries group. He is the author of the Plotly Express, react-pivottable and PivotTable.js data analysis tools. He studied Engineering at the University of Toronto, and previously worked in travel demand modelling, econometrics, telecommunications, ad technology and healthcare analytics.
Emmanuelle Gouillart, PhD
Emmanuelle is the maintainer of Scikit-Image, Dash-canvas and plotly.py open-source libraries and a leader in the Scientific Python community. She has a PhD in Fluid Dynamics from Université Pierre et Marie Curie. At Plotly, she is leading the "Interactive image processing with Scikit-Image and Dash" open-source project funded by the Chan-Zuckerberg Initiative and its Essential Open-Source Software for Science program.
Jose is a Systems Engineer with experience in infrastructure, application development/deployment, and multiple programming languages (Golang/PHP/Python/Ruby/Shell). He holds a degree in Computer Science and Software Engineering. At Plotly, Jose works closely with customers on project integration to ensure that Dash Enterprise fits and elevates their company’s existing data framework.
We’re here to help.
Does your product have an ancient charting tool that needs to be replaced? Would you like to upskill your ML and data science team through a remote Dash workshop? Are your end users asking for more advanced data visualization? Let's talk!