Brighthive + BrightBot
With BrightBot every team member is a data person. BrightBot tasks of team of autonomous AI agents with special skills tuned for each stage of the data journey. Ask it a question of your data, and get an answer. Ask it to write a data strategy, create data documentation, tag PII, or create a visualization.
Key Features Inside BrightBot
BrightBot acts as a cohesive conversational interface, guiding users through different phases of the data lifecycle and streamlining data processes. Below are some of its key capabilities:
Strategy
BrightBot can provide guidance on best practices, help identify key data sources, and facilitate decision making based on data insights.
Connection
It can connect to various data sources, enabling seamless data ingestion and synchronization. This includes structured and unstructured data, cloud-based or on-premise data sources.
Governance
BrightBot helps maintain high data quality by enforcing data governance policies. It can manage metadata, ensure data privacy and compliance, and monitor data usage.
Exploration
BrightBot allows users to explore their data in an intuitive manner. It can help users comprehend their data, perform statistical analysis, and derive valuable insights.
Engineering
It can automate data processing tasks, including data cleaning, transformation, and integration. This helps ensure that data is in the right format and quality for analysis.
Visualization
BrightBot can generate interactive visualizations to help users better understand their data and uncover patterns. These visualizations can be easily shared or embedded.
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Plug and play with your data lake, warehouse, database, or spreadsheets. Connecting your data wherever it lives.
Unify and enrich your data
Easily integrate with a multitude of connectors
If it’s open source, we support it and integrate with it
Simplifying the administration of data strategy, quality, and security.
With AI assisted governance choose who in your network has access to what data and what they can do with it
Turn folk knowledge and disparate documents into a coherent data strategy
Automate monitoring of data policies critical to sharing, including privacy, quality, usage, transparency, and bias
Create and manage data projects, from inception to execution.
Create collaborative data projects using templates or from scratch
Analyze data with built-in analytics tools
Search across pooled metadata to easily find the right data, no matter where it's stored
Activate your data for end users with AI.
Present insights in front of stakeholders with dashboards, reports, and visualizations
Prioritize security with pre-sharing compliance checks
Seamless table-to-API and SQL-to-visualization transitions
