Build Your Data Copilot on AWS S3

What is a data copilot?

1. Democratizing Data Usage: The data copilot eradicates conventional barriers to data access, enabling every enterprise member to leverage data effortlessly, thereby nurturing a robust, data-driven organizational culture.
2. Enhancing Data Management: Going beyond mere data access facilitation, the data copilot fine-tunes the usage of vital data assets, amplifying their business worth.

Capabilities of A Data Copilot

1. Conversational Data Analysis: This feature allows for swift, natural language-based data queries, streamlining the analysis process without the use of complex BI systems.

2. Insight Discovery: Employing advanced analysis techniques like root-cause analysis, it uncovers deeper insights and narratives within the data, explaining the 'why' behind trends.

3. Dashboard Generation: The copilot crafts user-friendly dashboards, making the sharing and interpretation of data insights more efficient.

4. Business KPI Evaluation: It plays a vital role in assessing key performance indicators, aiding in informed strategic decision-making given current and future status of core business goals.

Building Your Data Copilot with AWS S3

1. Get Your Data Ready in AWS S3: Integrating systems and storing data in popular formats like CSV in S3 is simple. You only need to grant access to Kyligence Zen and connect it according to this guideline: https://zen-docs.kyligence.io/en/connect-data. For newcomers, Kyligence Zen offers sample data to explore without loading your own data.

2. Defining Business Metrics: Tailor metrics in Kyligence Zen to align with your business logic. For example, setting up GMV metrics is a user-friendly process.

3. Natural Language Interaction: The Kyligence Copilot interface allows business users to extract insights using natural language. Users can ask questions like "How many sales qualified leads are contributing to pipeline in Q1?"