Tool Information
Fluent is an AI data analyst tool designed to empower decision makers by facilitating self-serve data insights. The platform allows users to ask data-related questions directly, offering immediate insights. Fluent interprets natural language inquiries and works with the user to clarify questions, ensuring users receive the precise insights needed. It promotes team-wide understanding of data through real-time collaboration and shared data dictionaries, mitigating confusion and disagreement on metrics definitions. Fluent also supports remote work dynamics, integrating with communication platforms such as Slack and Teams to deliver insights directly within these chat interfaces. It enhances data integrity and access management by allowing users to curate tailored datasets with clear usage guidelines and quality control. Fluent is outfitted with 'Intelligible SQL', offering a visual display of the journey and AI logic behind each query. The platform further ensures data consistency by allowing the embedding of company-specific metrics, definitions, and terminology. Fluent is compatible with major data warehouses and common file formats, continually adding more integrations. Security is a key focus for Fluent, utilising AES-256 encryption for data warehouse credentials storage, and offering options for user-owned storage. It supports SSO and multi-factor authentication from major identity providers and provides on-premise deployment options.
F.A.Q (19)
Fluent is an AI data analyst tool designed to empower decision makers by enabling self-serve data insights. Users can ask data-related questions in natural language and receive immediate insights. Fluent also promotes team-wide data understanding, supports remote work dynamics, enhances data integrity and management, and ensures data consistency.
Fluent uses natural language processing (NLP) to interpret natural language inquiries. It works closely with users to clarify questions, ensuring they receive the accurate insights they need.
Fluent promotes shared data understanding among teams by facilitating real-time collaboration and providing shared data dictionaries. This process eliminates disputes over metrics definitions and ensures everyone on the team has the same understanding of the data.
Fluent provides support for remote work dynamics by integrating with communication platforms such as Slack and Teams. This allows users to receive insights directly within these chat interfaces, even when working remotely.
Fluent integrates with communication platforms like Slack and Teams by delivering insights directly within these chat interfaces. Users can simply ask questions and receive immediate insights while discussing with team members inside these platforms.
Intelligible SQL' is a feature offered by Fluent that provides a visual display of the journey and AI logic behind each query posed by the user. This increases transparency and understanding of how Fluent generates insights.
Fluent ensures data consistency by allowing the embedding of company-specific metrics, definitions, and terminology. These uniform responses ensure consistent understanding across different business users.
Fluent integrates with major data warehouses and common file formats, constantly adding more for robust compatibility. The website does not specify the names of these data warehouses or file formats.
Fluent employs several methods to secure data, including using industry-standard AES-256 encryption for data warehouse credentials storage. It also supports single sign-on (SSO) and multi-factor authentication from major identity providers, along with on-premise deployment options.
Yes, Fluent provides options for user-owned storage. By default, Fluent stores query results in its encrypted S3 bucket, but users can also opt to use their own S3, GCP, or Azure storage.
Fluent supports multi-factor authentication from major identity providers, including but not limited to Okta, Google, and Microsoft.
Fluent offers on-premise deployment options, allowing Fluent to be deployed in user's own data center or Virtual Private Cloud (VPC).
Fluent uses natural language processing to interpret and clarify questions asked by users. If a query needs further clarification, Fluent works with the user to refine the question until it can provide the required insights.
Yes, Fluent supports self-serve data insights, enabling users to directly ask data-related questions and receive immediate responses.
Fluent handles definition and disagreements on metrics by allowing users to embed company-specific metrics, definitions and terminology. This promotes consistent understanding across all business users and mitigates disputes on metrics interpretations.
Fluent supports real-time collaboration allowing team members to work together instantly on data analyses. This encourages a shared understanding of data within teams, reducing silos and confusion.
Users can benefit from Fluent's shared data dictionaries by ensuring everyone has a consistent understanding of data. These shared dictionaries mitigate disputes over metrics definitions and eliminate confusion.
For data warehouse credentials storage, Fluent uses AES-256 encryption, an industry-standard method known for its strong security. This greatly enhances the protection of users' stored data within Fluent.
Fluent can enhance your company's data integrity and access management by allowing users to curate tailored datasets with clear usage guidelines and quality control mechanisms. Additionally, it uses AES-256 encryption for data warehouse credentials storage, supports SSO and multi-factor authentication, and provides on-premise deployment options.
Pros and Cons
Pros
- Self-serve data insights
- Natural language insights interpretation
- Clarifies user inquiries
- Promotes real-time data collaboration
- Shared data dictionaries
- Supports remote work
- Integration with Slack
- Teams
- Curated tailored datasets
- Clear data usage guidelines
- Intelligible SQL feature
- Embeds company-specific metrics
- Consistent terminology usage
- Major data warehouses compatibility
- Supports common file formats
- Regularly adds new integration
- AES-256 data credentials encryption
- User-owned storage option
- SSO and multi-factor authentication
- Supports major identity providers
- On-premise deployment option
- Instant insight delivery
- Integrated communication platform
- Mitigates metric disagreement
- Quality control for data
- Enterprise-level security
- Bank-grade encryption
- BYOS (Bring Your Own Storage)
- Encourages company-specific terminology
- Real-time collaboration for understanding
- Data analysis decision-making support
Cons
- Limited integration options
- Natural language understanding issues
- Depends heavily on user input
- No predictive modeling capabilities
- Limited access control options
- Query results reliant on external storage
- No autonomous data discovery
- Requires 'Intelligible SQL' understanding
- Dependent on company-specific metrics embedding
- Inflexible in regards to data sources
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