Why is it so hard to use data to make decisions?

Once upon a time we built the best retail dashboard I’d ever seen—real-time insights, killer product gaps, market share shifts—completely free. We launched it with fanfare... and nobody used it. So we went digging for answers

Turns out not everybody loves spending hours digging for insights on dashboards. It's just a few of us… Most people don't have the time, interest or experience to make dashboards "talk".

We've built Nivii for all of you who aren't data nerds. An AI assistant to whom you can ask business questions (not a data request) and get data driven business answers (not another chart)

The data shows we have a problem

85%

of "succesful" data projects fail to bring value to their companies

Source: Gartner 2024

9 of 10

dashboards are never used after the first month

Source: Traditional BI lore

47%

of Chief Data Officers believe this is due to lack of analytical talent

Source: Accenture CDO survey 2024

Want to know what the data says about your question? Ask Nivii

1. Understands business language

Not only you can ask in natural language, you don't need to know what data you want

Instead of asking for "sales for the past four weeks by day of the week, one line per product in a line chart", focus on your true business question in business language

An assistant that understands "human"

2. Tailored to you

Two areas of the same company, or the same area across companies in the same industry may look at data differently

What is the best comparison for current data? versus the forecast or the previous week? What does stock mean for supply chain and accounting?

We start with the best AI models and train them specifically to how you look (or want to look) at data

3. Answers with insights

It figures out what needs to be done, runs the data and does the analysis

Watch a demo

How are sales coming along?

Watch a demo

How are sales coming along?

1. Understands business language

Not only you can ask in natural language, you don't need to know what data you want

Instead of asking for "sales for the past four weeks by day of the week, one line per product in a line chart", focus on your true business question in business language

An assistant that understands "human"

2. Tailored to you

Two areas of the same company, or the same area across companies in the same industry may look at data differently

What is the best comparison for current data? versus the forecast or the previous week? What does stock mean for supply chain and accounting?

We start with the best AI models and train them specifically to how you look (or want to look) at data

3. Answers with insights

It figures out what needs to be done, runs the data and does the analysis

Planning…

- I'm assuming you are asking about the first three days of this week: November 18th to 20th…

- Defined that best comparison is same period last week…

- Identified a 22% drop week over week…

- Analyzing stock… detected stockout of the best selling product

Found the answer:

Sales this week were 22% lower than last week, mainly due to less products sold, particularly on Monday

Monday's lower sales happened due to it being a holiday in Argentina (with reduced hours of operation) and the fact that your best seller, product A, run out of stock since Saturday

What else would you like to know about Nivii?

We've found different roles have different questions about Nivii, so it seemed better to let you choose your own adventure*

What if my data isn't clean?

Not a problem. To workaround the quality issues we build Data Domain Products using proprietary AI Agents and a methodology learnt at Google

Is it like ______'s model?

Not quite. Most tools assume you’re a data expert. Nivii doesn’t. This means that it has to be much smarter and friendlier than just an AI model connected to your data

Who's the team building it?

Our founders are 100% dedicated with the right experience, ambition and will to make this into a success