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Your interpretation is accurate! The self service connectors we build are mostly marketing/ sales data sources, so the narratives we generate are focused on growth insights and recommendations. Feel free to try: would love to hear your feedback!
> Feel free to try I will, but not yet. I am building a product, slowly. But my only user so far is myself :p
Hey folks, I'm a free customer here and a big-big fan of their project. I've been using narrative.bi for my project and sharing the results on Twitter [1] lately. How I'm using narrative.bi: - A high-level report of WoW, and MoM changes on our website traffic that land in my email. - Alternative to GA4 UI, which drives me nuts. What I don't get yet and I want to see implemented (I'll definitely pay for this): - Dimen…
We actually improved our drill-downs recently. Check it out: https://www.narrative.bi/product-updates/purchase-insights-g...
It's totally OK to use Narrative BI in a no-UI way via email or slack, but our web UI provides more advanced insights so you may want to check it from time to time. Simply click on an insight in your email and you'll be redirected to a more detailed view.
Can you share some examples of what people are using this for today?
You can learn more about our solutions here https://www.narrative.bi/solutions But let me describe the most popular use cases: 1. Report automation. People connect their marketing data sources and get automated reports on key metrics 2. Anomaly detection. We generate alerts when we see unusual patterns that affect your key business metrics 3. Natural language insights: we uncover interesting patterns and correlations…
> We started as a freemium product and built a unique business data set. We used this dataset to launch NBI.AI - a Generative BI platform that can be connected to virtually any structured data source
it sounds as if you have done so in the past.
Can you unpack: "Drive growth with AI-generated data narratives." Superficially, that sentence reads as fluff corporatespeak
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You can learn more about our solutions here https://www.narrative.bi/solutions But let me describe the most popular use cases: 1. Report automation. People connect their marketing data sources and get automated reports on key metrics 2. Anomaly detection. We generate alerts when we see unusual patterns that affect your key business metrics 3. Natural language insights: we uncover interesting patterns and correlations…
Do you use that data for training? Given this: > We started as a freemium product and built a unique business data set. We used this dataset to launch NBI.AI - a Generative BI platform that can be connected to virtually any structured data source it sounds as if you have done so in the past.
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Do you use that data for training? Given this: > We started as a freemium product and built a unique business data set. We used this dataset to launch NBI.AI - a Generative BI platform that can be connected to virtually any structured data source it sounds as if you have done so in the past.
We don't use customers' data (eg data from your data sources) for training purposes. What we use is meta-data like objectives, behavioral data, preferences and feedback loop (was it helpful y/n) to personalize the insights.
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We don't use customers' data (eg data from your data sources) for training purposes. What we use is meta-data like objectives, behavioral data, preferences and feedback loop (was it helpful y/n) to personalize the insights.
"we don't literally steal your data but we surveil you to harvest data from you like a skinner box."
Can you share some examples of what people are using this for today?
You can learn more about our solutions here https://www.narrative.bi/solutions But let me describe the most popular use cases: 1. Report automation. People connect their marketing data sources and get automated reports on key metrics 2. Anomaly detection. We generate alerts when we see unusual patterns that affect your key business metrics 3. Natural language insights: we uncover interesting patterns and correlations…
I'm an ad management agency that does google ads for 200x ecommerce companies. Every month I have my marketing specialist create a powerpoint presentation with graphs of their performance + a narrative about it (ROAS was up 23.5% but this was mostly due to on-brand search). Instead of my marketing analyst creating this presentation, I just generate it with nbi.ai.
Do I have that right?
Earlier quoted context omitted.
We don't use customers' data (eg data from your data sources) for training purposes. What we use is meta-data like objectives, behavioral data, preferences and feedback loop (was it helpful y/n) to personalize the insights.
"we don't literally steal your data but we surveil you to harvest data from you like a skinner box."