A pet peeve of mine, as someone who has been in the BI domain for a few years. There is no such thing as data driven decisions. What is there, is decision driven data, i.e. what you monitor indicates your desired decision making toolset.
This comment is not specifically targeted against this product, as other than that marketing part the rest of claims are very expected and valid. I do have reservations about whether generative AI produces much more value in this context than older rule-based NLG approaches. I.e. I would not expect the divergence between rule-based and statistical inference narratives to be significantly different in the context of traditional BI, where data unexpectedness is hamstrung in rigid data models.
Hi HN, Yury and Michael are here to answer your questions.
2 years ago, we launched Narrative BI to make data analytics available for everyone. Since then we helped 2,500+ teams get insights from their marketing data.
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 (unlike our previous version designed for specific data connectors).
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):
- Dimensional analysis: Which dimensions contribute to the topline change the most. I.e. Say unique users increased by 30% WoW, what top 5 dimensions have contributed to this change? Country? Device? Etc
- Global event correlation: are there any global events that influence the metrics change? Maybe a holiday in the Country?
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.
Historically, we've been focused on growth use cases (marketing, sales, PLG). "Data narratives" is how we call our natural language written insights (AI generated). So it might sound like a corporate jargon but actually describes our value proposition. Will think how to make it more clear. Thanks!
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!
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 in your data and provide recommendations on how you can improve/optimize your campaigns
> 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
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.
Not a customer nor have I used the app, but I think one use case you're hitting is the following:
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.
When will there be an Automator-like tool which will allow a user to create basic workflows?
I have a stack of several hundred invoices with checks which I take photos of and then need to rename to match the Invoice ID.
If I could also have it find the check #, amoutn, and date of the check and some other information and use all that to construct a filename --- that would be ideal, but just getting the Invoice ID would be a nice start.
This comment is not specifically targeted against this product, as other than that marketing part the rest of claims are very expected and valid. I do have reservations about whether generative AI produces much more value in this context than older rule-based NLG approaches. I.e. I would not expect the divergence between rule-based and statistical inference narratives to be significantly different in the context of traditional BI, where data unexpectedness is hamstrung in rigid data models.