Narrative BI is a generative analytics platform designed for growth teams, specializing in turning raw data into actionable narratives automatically. It offers features such as data analysis, generating insights in natural language, integration with popular tools like Google Analytics 4, Google Ads, Facebook Ads, and HubSpot, along with providing personalized insights for marketing teams, aiding in data-driven decisions, and supporting comprehensive user understanding. Narrative BI utilizes AI technology, particularly Generative AI, to automate the generation of marketing insights, anomaly detection, and scheduled reports. Users do not need coding skills to use Narrative BI, allowing easy connection to data sources.
Narrative BI was founded by a diverse group of tech entrepreneurs with successful exits in the past. The co-founder and CEO of Narrative BI is Michael Rumiantsau. The company aims to make data analytics accessible to everyone and offers tailored solutions for growth teams. Narrative BI was launched on July 2, 2023, and operates as a Silicon Valley-based company with a team of seasoned engineers and serial entrepreneurs dedicated to transforming complex data into actionable insights for businesses globally.
To use Narrative BI effectively, follow these steps:
Platform Access: Sign up on the Narrative BI platform to start your journey. Visit the Narrative BI website and create your account.
Data Integration: Connect your data sources effortlessly. Narrative BI allows for easy integration with various sources such as Google Analytics 4, Google Ads, Facebook Ads, and HubSpot.
Generate Insights: Let Narrative BI automate the generation of actionable insights from your data. Benefit from personalized insights tailored for marketing, clear natural language generation, and comprehensive user understanding.
AI Technology: Explore the power of AI technology within Narrative BI. The platform utilizes Generative AI to transform raw data into meaningful narratives, detect anomalies, and provide scheduled reports.
Collaboration: Engage in team collaboration using the in-narrative collaboration feature. Mention team members directly in insights to enhance discussions and decision-making processes.
Scheduled Reports: Benefit from automated reports of key metrics via email or the integrated Slack feature. Stay updated on your KPIs effortlessly.
Support: Narrative BI offers various support options, including in-chat support, 24/7 support for growth plans, and dedicated support for enterprise clients.
Explore Pricing Tiers: Choose the pricing tier that aligns with your needs, whether you are a startup, a fast-growing business, or an enterprise looking to democratize data. Explore customization options for personalized pricing packages.
By following these steps, you can effectively harness the capabilities of Narrative BI to transform raw data into actionable insights, enhance collaboration, and make data-driven decisions seamlessly.
Paid plans start at $30/month and include:
I appreciate how Narrative BI can generate insights in natural language, making it easier for our marketing team to understand complex data without needing deep technical knowledge.
The interface feels a bit clunky at times, and I wish there were more customization options for the reports generated.
It significantly reduces the time we spend analyzing data. By automating insights, we can focus more on strategy rather than data crunching, which ultimately benefits our campaign effectiveness.
The integration with tools like Google Analytics and HubSpot is seamless. It allows us to pull data from multiple sources effortlessly.
Sometimes, the insights generated can be too generic, and I would love to see more specific recommendations tailored to our unique data.
It helps our team quickly identify anomalies in our marketing data, enabling us to react promptly to any issues, which is crucial for maintaining our competitive edge.
The AI-driven insights are helpful for someone who isn't deeply versed in data analysis.
The pricing seems quite high for the features offered, and there are limitations on the number of reports you can generate monthly.
It simplifies the process of data interpretation, but I find that it doesn't always provide actionable insights, which is a drawback for us.
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