Crowdsource your company knowledge
Businesses thrive when everyone joins the conversation. Crowdsource your documentation and build a common language around your data.
Collective Intelligence
Capture knowledge from every angle
Data is collected every day, team members turn over, and through all of that institutional knowledge gets lost. As a result, business teams often struggle to understand data, new team members miss essential context, and knowledge isn’t preserved when people leave. When everyone participates in documentation, teams break down silos and build a shared understanding of data to codify collective intelligence.
U.S. business decision-makers aiming to improve insights-driven decision making. - Forrester, 2022
Data is better with everyone
Don’t let company knowledge stay trapped in siloed teams or domain experts. With CastorDoc, every team is empowered to be an active player in data documentation. Capture insights from domain experts, preserve knowledge, and speed up documentation with company wide adoption.
Crowdsource documentation
Collaborative documentation and feedback loops
Comment, request, and report issues with data
Easy to use interface for company wide adoption
Curate and preserve knowledge
Tag assets, assign ownership, create user teams
Let subject matter experts fill in documentation gaps
Standardize and build a shared understanding of organizational knowledge
Build shared understanding
View frequently users and asset popularity
Create knowledge pages to document domains, metrics and KPIs
See how your knowledge works together with knowledge map
Streamline Data for Decision-Making
See the exactly where your data flows from with full lineage
Identify previous work and reduce duplication
Sync back documentation to tools where the work happens
Get in Touch to Learn More
“[I like] The easy to use interface and the speed of finding the relevant assets that you're looking for in your database. I also really enjoy the score given to each table, [which] lets you prioritize the results of your queries by how often certain data is used.” - Michal P., Head of Data