Join data.world’s Juan Sequeda, Principal Scientist & Head of our AI Lab, Dean Allemang, Principal Solutions Architect, and Bryon Jacob, CTO & Co-Founder, to see how a Knowledge Graph can improve the accuracy of LLM responses by 3X; and learn how a data catalog built on a Knowledge Graph can increase trust in LLMs with clear explainability and governance.
Save data engineering time by automating communication about data quality, lifecycle status, and context to data consumers. Increase transparency into data pipelines, dashboards, and reports to empower data consumers, increase trust in the organization’s data, and scale your data operations across your data assets and data tools.
Eliminate tedious, manual tasks for data teams by automating data pipeline updates, enhancing stakeholder communication, and automating data workflows. Provide real-time updates to data consumers so they always know the freshness of data feeding their reports and dashboards.
Grow your organization’s data culture and increase trust in your data across data analysts, data scientists, business users, and more. Surface trust signals and contextual insights directly in BI, communications, and collaboration tools that data consumers use.
Accelerate your root cause analysis and issue resolution for data pipelines by using column-level lineage to see upstream and downstream dependencies. View metrics of dashboard and report usage, monitor status history, and more to prioritize and optimize data teams' projects.
Improve DataOps efficiency by using data.world’s BB Bots and Hoots to monitor orchestration tools and broadcast updates to data users. Surface updates directly in their everyday data analytics tools, like Tableau and Power BI. Instead of creating more noise with mass emails or general Slack channels about data pipeline issues and outages, Hoots reach the relevant consumers in the reports and dashboards they rely on.
Empower data consumers to trust and understand their data for richer insights and analysis through seamless data freshness and report life cycle communication. Serve up context about their data, reports, and dashboards from the data catalog via Hoots. Provide links to business terms, metrics, and lineage for consumers to dig in deeper to make data-driven decisions.
Troubleshoot broken data pipelines with data.world’s native lineage, which helps data teams trace data visually from data sources to analytics and BI tools. Query the lineage graph to find all the tables, reports, people, queries, and more that are connected to a certain dataset.
See how your DataOps team can set et up automated data quality and data freshness updates in data.world’s DataOps application. Broadcast these updates to data consumers in the BI, communication and collaboration tools where they work.