With Dash, teams can create beautiful digital reports in any format directly from Python or R.
The future of reporting is digital. Ready?
Reports are foundational to how businesses run. They enable the sharing of valuable insights and information both internally and externally.
And with the growing complexity of data and underlying models, reports stand to deliver significant business value - either in terms of direct revenue impact or efficiency gains by having direct on-the-fly access to the right information at the right time.
Traditional report building can be a labor intensive process that requires multiple error prone spreadsheets, VBA scripts and the infamous cut and pasting. And complexity only increases when teams need multiple report formats for distribution and sharing. This often relegates reporting to the output of specialized team members with specific deliverables that are highly defined and difficult to modify.
To be truly effective at supporting business outcomes and delivering value, reporting needs to be more agile and iterative.
Digital reporting solves this by enabling Data Science and Analytics teams to programmatically build digital reports that are directly connected to underlying models and data. Digital reports give everyone on demand access to interactive web-based reports, PDFs, email or slide decks.
Share valuable insights across the organization.
With a direct connection to the underlying models, end users can be exposed to input parameters through a web application, and generate pixel perfect reports on demand.
Digital reporting with Dash.
Dash enables Data Science and Analyst teams to design, build and deploy custom digital reports directly from Python or R. With Dash, teams can create beautiful reports in any format while giving end-users the ability interact with and explore the data in ways cut and paste charts can never deliver.
See Dash in action.
Sign up for our next Dash Live Weekly demo session to learn more about our Dash Enterprise offering, including industry applications and all the latest tips and features on how to operationalize your data science models.