Narrative BI

Features

Natural Language Generation

Narrative BI employs generative AI to transform complex analytics into clear, easy-to-understand narratives in plain English. This feature makes insights accessible to non-technical users, eliminating the need for manual interpretation of dashboards. By shifting the focus from static charts to actionable, context-rich stories, teams can quickly grasp critical information, enabling rapid decision-making without requiring data science expertise.

Automated Anomaly Detection

This feature continuously monitors data streams to identify significant changes, spikes, or unusual patterns in real time. Users receive automated notifications, allowing teams to proactively address issues or seize opportunities as they arise. This capability enhances operational agility, ensuring that businesses can respond swiftly to dynamic market conditions rather than relying on periodic manual reviews.

Automated Scheduled Reporting

Narrative BI automates the delivery of customized reports to stakeholders via email or Slack, consolidating key metrics and narratives without manual intervention. This feature ensures continuous alignment across teams and keeps decision-makers informed with minimal overhead. It is particularly beneficial for agencies and enterprises managing multiple clients or departments, enhancing overall efficiency.

In-Narrative Collaboration

This feature allows team members to discuss and annotate directly within the generated data narratives. By fostering collaborative analysis and knowledge sharing, it accelerates decision-making and centralizes insights and feedback. Unlike traditional tools that separate analytics from communication, this integrated approach enhances teamwork and ensures that everyone is on the same page.

Effortless Data Integration

Narrative BI seamlessly connects with major platforms like Google Analytics, Salesforce, and HubSpot in just a few clicks. This feature centralizes data from diverse sources, removing technical barriers to unified analytics. Non-technical teams can derive cross-platform insights without needing IT support, making data analysis more accessible and efficient.

Generative BI & Chat with Data

Users can interact with their data by asking questions in natural language and receiving AI-generated answers, visualizations, and strategic recommendations. This self-service approach empowers users to explore data dynamically, moving beyond static dashboards to uncover deeper insights. It democratizes data access, allowing all team members to engage with analytics effectively.

Role-Based, Context-Aware Insights

This feature delivers real-time, automated analysis tailored to each user’s role and data context. By ensuring that insights are relevant and actionable, it helps teams focus on what matters most to their function. This personalization reduces noise and increases the speed of informed decision-making, making it easier for users to act on critical information.

Proactive Insight Delivery

Narrative BI prioritizes the automated delivery of insights, ensuring that critical information reaches users without requiring them to search for it. This proactive approach marks a significant shift from traditional BI tools that rely on user-driven querying and dashboard navigation, enhancing the overall user experience and ensuring timely access to vital data.

Contextual Explanation of Data

This feature generates contextual commentary about key metrics, fluctuations, and anomalies within the data. By providing actionable explanations rather than just raw numbers, it improves decision-making by clarifying the ‘why’ behind data changes. This capability elevates Narrative BI beyond simple reporting tools, offering deeper insights that drive strategic actions.

Customizable Narrative Templates

Users can tailor the style, tone, and complexity of generated narratives to suit different audiences, such as executives, analysts, or external stakeholders. This flexibility enhances communication effectiveness across varied business functions and user proficiency levels, ensuring that insights resonate with the intended audience.

Real-Time Data Updates and Reporting

Narrative BI dynamically updates narratives as new data flows in, providing up-to-date insights without manual intervention. This feature supports timely, data-driven decisions, especially in fast-paced environments where lagged analytics can hinder responsiveness.

Visual Data Synchronization

This feature pairs automated narratives with relevant charts and visualizations, allowing users to correlate text explanations directly with graphical data. This integrated approach strengthens comprehension by catering to multiple cognitive preferences in data consumption, making it easier for users to grasp complex insights.

Natural Language Querying

Users can ask questions about their data in plain language and receive narrative answers, reducing the need for specialized query skills or coding. This feature enhances self-service analytics adoption among non-technical users, accelerating the discovery of insights and fostering a data-driven culture within organizations.