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.

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FluentHQ was manually vetted by our editorial team and was first featured on March 23rd 2024.

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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

Q&A

What is Fluent?

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.

How does Fluent interpret natural language inquiries?

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.

In what ways does Fluent promote shared data understanding among teams?

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.

How does Fluent support remote work?

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.

How does Fluent integrate with communication platforms like Slack and Teams?

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.

What is 'Intelligible SQL' offered by Fluent?

'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.

How does Fluent ensure data consistency?

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.

What major data warehouses and common file formats does Fluent integrate with?

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.

How does Fluent secure data?

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.

Does Fluent provide options for user-owned data storage?

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.

What kind of multi-factor authentication does Fluent support?

Fluent supports multi-factor authentication from major identity providers, including but not limited to Okta, Google, and Microsoft.

What kind of on-premise deployment options does Fluent offer?

Fluent offers on-premise deployment options, allowing Fluent to be deployed in user's own data center or Virtual Private Cloud (VPC).

What's the method Fluent uses to clarify questions asked by users?

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.

Does Fluent support self-serve data insights?

Yes, Fluent supports self-serve data insights, enabling users to directly ask data-related questions and receive immediate responses.

How does Fluent handle the definition and disagreement of metrics?

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.

Can you integrate Fluent with other data analysis platforms?

IDK

What's involved in the real-time collaboration feature of Fluent?

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.

How can users benefit from Fluent's shared data dictionaries?

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.

What is Fluent's approach to AES-256 encryption for data warehouse credentials storage?

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.

How can Fluent enhance my company's data integrity and access management?

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.