Narrative BI

Narrative BI is a sophisticated automated business intelligence platform designed to function as an AI data analyst for your entire team. It revolutionizes how businesses interact with their data by moving beyond traditional, complex dashboards. The platform connects seamlessly to a wide array of data sources, including marketing, advertising, sales, and product analytics tools. It then employs Generative AI and Large Language Models (LLMs) to proactively analyze this data, identify significant trends, anomalies, and key drivers, and translate them into clear, human-readable narratives and actionable insights. This approach democratizes data analytics, making it accessible to everyone in an organization, from marketers and product managers to C-level executives, regardless of their technical background.

How to use Narrative BI

Getting started with Narrative BI is a straightforward process designed for efficiency:

1. Connect Your Data Sources: Begin by securely connecting your business applications. Narrative BI offers a wide range of native integrations, including Google Analytics 4, Google Ads, Facebook Ads, HubSpot, Salesforce, and more. The Enterprise plan also supports connections to data warehouses like Snowflake, BigQuery, and Redshift.
2. Automated Analysis: Once connected, Narrative BI's AI engine gets to work immediately. It continuously monitors your data in the background, automatically detecting statistically significant changes, patterns, and outliers that would be time-consuming to find manually.
3. Receive Insights: The platform delivers insights in various convenient formats. You can view them on the main dashboard, receive them as automated reports in your email, or get real-time smart alerts via Slack. These insights are presented as simple narratives, such as "Your user acquisition from Google Ads increased by 35% last week, driven by the 'Summer Sale' campaign."
4. Ask Questions in Plain English: Utilize the 'AI Data Analyst' feature to interact with your data conversationally. Simply type questions like "What were our top-performing ad campaigns last month?" or "Why did user engagement drop yesterday?" and receive instant, data-backed answers.

Core Features of Narrative BI

• AI Data Analyst: A chat-based interface that allows users to query their connected data sources using natural language, receiving immediate answers and visualizations.
• Generative BI & LLM-Powered Insights: The core of the platform, this feature automatically generates concise, easy-to-understand summaries and explanations of complex data trends.
• Automated Monitoring & Smart Alerts: Proactively monitors your key metrics 24/7 and sends timely notifications via Slack or email about important events, anomalies, or achieved goals, so you can act fast.
• Data Narratives: Translates raw numbers and charts into compelling stories that explain the 'what' and 'why' behind your data, making it easier for teams to understand performance.
• Extensive Integrations: Seamlessly connects with popular platforms like Google Analytics 4, Google Ads, Google Search Console, Facebook Ads, Instagram Ads, LinkedIn Ads, HubSpot, Salesforce, and major data warehouses for enterprise clients.
• Automated Reports: Schedule and customize regular reports (daily, weekly, monthly) that are automatically sent to stakeholders, including advanced features like Year-over-Year (YoY) comparisons.
• Slack Integration: Delivers crucial insights and alerts directly into your team's Slack channels to foster a data-driven culture and facilitate quick collaboration.

Use Cases for Narrative BI

Narrative BI is versatile and provides value across various business functions and industries:

• Marketing Agencies: Efficiently manage and report on multiple client accounts. Quickly generate performance reports and identify optimization opportunities across ad campaigns and marketing channels without getting lost in data.
• SaaS Companies: Product and marketing teams can track user acquisition, engagement, and retention. Understand feature adoption, identify user behavior patterns, and get alerts on sudden drops in activity to proactively address potential churn.
• E-commerce Businesses: Monitor sales performance, track advertising ROI from platforms like Facebook and Google Ads, and analyze the entire customer journey from first touch to final purchase.
• Enterprise: Democratize data access across large organizations. Enable departments like sales, marketing, and finance to self-serve their data needs and gain insights without relying on a centralized team of data analysts, fostering agility and informed decision-making at scale.

Advantages of Narrative BI

The platform offers significant advantages over traditional BI tools:

• Accessibility: Its user-friendly, no-code interface empowers non-technical team members to confidently work with data.
• Speed and Efficiency: It automates the time-consuming tasks of data gathering, analysis, and reporting, freeing up teams to focus on strategy and execution.
• Proactive Insights: Instead of requiring users to find insights in dashboards, Narrative BI pushes the most important information directly to them.
• Deeper Understanding: By focusing on outliers and providing narrative explanations, it helps users understand the root causes behind performance changes, not just the surface-level metrics.
• Centralized Data Hub: It acts as a single source of truth by consolidating data from disparate systems, providing a holistic view of business performance.

Pricing and Plans

Narrative BI offers a tiered pricing model to suit different business needs, with a 7-day free trial available for Pro and Growth plans.

• Pro Plan: Starting at $30 per source/month. Ideal for startups and small teams. It includes unlimited seats, 1 workspace, 10 GB data volume, 6-hour data sync, 12 months of historical data, and 30 AI Analyst requests per day.
• Growth Plan: Starting at $40 per source/month. Designed for fast-growing businesses and agencies. It offers unlimited seats, 50 workspaces, 20 GB data volume, 4-hour data sync, 3 years of historical data, 100 AI Analyst requests per day, and adds features like YoY reports and impact event tracking.
• Enterprise Plan: Custom pricing. Tailored for large organizations with advanced needs. It includes unlimited workspaces, custom data volume, hourly data sync, unlimited historical data, and unlimited AI Analyst requests. This plan adds premium integrations (Snowflake, BigQuery, etc.), a dedicated API, and custom insight models.