Dalmatian

What is Dalmatian?

"Dalmatian" refers to an AI tool designed to streamline the operations of data teams by swiftly addressing ad-hoc queries, allowing more focus on strategic analyses. It features the Data Analyst Language Model (DaLM) that responds directly to user queries to provide fast and accurate results. DaLMatian integrates with systems such as Slack or Teams and learns from past queries by understanding the business logic behind each request. The tool operates fully on-premises, preserving data sovereignty by ensuring no data exits the user's internal environment. Additionally, it secures Personally Identifiable Information (PII) by not sharing actual data and masking PII in query codes.

Who created Dalmatian?

Dalmatian was founded by three friends who met at Princeton during their undergraduate studies. The team members had diverse experiences including analytics at Riskified, AI at Google Research, engineering at Google & Duolingo, and quant trading at Virtu. The technical team had led publications at top ML conferences like NeurIPS, and the CEO had a background as a data analyst. Dalmatian was launched on January 13, 2024.

What is Dalmatian used for?

• Streamlining data team operations
• Swiftly addressing ad-hoc queries
• Saving time for strategic analyses
• Responding to non-technical queries
• Integrating with Slack or Teams
• Learning from past queries
• Understanding business logic
• Enhancing efficiency with use
• Operating on-premises and locally
• Maintaining data sovereignty
• Integrates with Slack and Teams to respond to non-technical user queries
• Learns from past queries to enhance efficiency over time
• Enhances productivity and workload management for data teams
• Operates fully on-premises and ensures data sovereignty
• Swiftly addresses ad-hoc questions from business stakeholders
• Aids in managing workload of data teams
• Handles past user queries effectively
• Assists in setting up quickly by opening a file of past queries
• Respects user privacy by not sharing actual data or PII
• Aids in driving revenue growth by enabling focus on strategic analyses
• Enhanced productivity for data teams
• Efficient workload management
• Optimum data security
• Swiftly addressing ad-hoc questions from business stakeholders
• Responding to non-technical user queries directly
• Integration with systems like Slack and Teams
• Improving efficiency over time through learning from past queries
• Managing workload by addressing ad-hoc queries swiftly
• Aiding in strategic, revenue-boosting analyses
• Ensuring data sovereignty by operating fully on-premises
• Integrates with Slack and Teams for responding to non-technical user queries
• Learns from past queries to enhance efficiency
• Ensures data sovereignty by operating fully on-premises
• Secures Personally Identifiable Information (PII) by not sharing actual data
• Allows non-technical users to pose questions in systems like Slack or Teams
• Manages workload by swiftly addressing ad-hoc queries from business stakeholders
• Respects user privacy by not sharing PII or actual data
• Learns from past queries to improve efficiency over time
• Enhances productivity for data teams by Swiftly addressing ad-hoc questions
• Aids in managing workload of data teams, enabling focus on strategic analyses
• Ensures data sovereignty and maintains data security by operating on-premises
• Handles past user queries effectively and can deal with a variety of queries
• Allows non-technical users to use the tool effectively by posing questions in Slack or Teams
• Respects user privacy by not sharing actual data or Personally Identifiable Information (PII)
• Assists in query optimization and driving revenue growth for businesses
• Streamlines data team operations by rapidly addressing ad-hoc inquiries

Who is Dalmatian for?

• Data Analysts
• Data Teams
• Business stakeholders
• Business analysts
• Data scientists

How to use Dalmatian?

To use Dalmatian, follow these steps:

1. Set Up Dalmatian: Open a file containing past queries to initiate the AI tool. Dalmatian learns from these queries to understand the underlying business logic, making the setup uncomplicated regardless of your database size or complexity.

2. Ask Questions: Non-technical users can directly pose questions in tools like Slack or Teams. The Data Analyst Language Model (DaLM) within Dalmatian responds instantly to these queries, making it accessible to a wide range of users.

3. Benefit Data Teams: Utilize Dalmatian to streamline operations of data teams. It swiftly addresses ad-hoc queries from business stakeholders, allowing data teams to focus on strategic, revenue-driving analyses.

4. Enhance Efficiency: Dalmatian improves its efficiency over time by learning from past user queries. The Language Model within the tool understands and adapts to the business logic with increased usage within an Integrated Development Environment (IDE).

5. Ensure Data Security: Dalmatian maintains data sovereignty by operating fully on-premises, ensuring that no actual data or Personally Identifiable Information (PII) leaves the internal environment. The tool masks any PII in the query code, thus respecting user privacy and data integrity.

By following these steps, you can effectively leverage Dalmatian to streamline your data team's operations, enhance efficiency, and ensure data security.