For over a decade, businesses have been trying to replace HiPPOs (highly paid people’s opinions) with “data-driven” decision-making. Most are failing. Few people have the math and coding skills to develop machine learning (ML) models that turn data into credible, reproducible insights. Moreover, businesses routinely use analytics that can’t be verified or vetted—, and therefore, they can’t be trusted. – There’s simply no record of how they were made.
But what if the people who know your business best could do data science just by asking what they want to know, in plain English? What if your team could answer high-stakes questions in minutes instead of waiting days or weeks for a Ph.D. to run the analysis?
That’s what DataChat offers: the chance to inform every conversation and decision with data.
What is DataChat?
A no-code, generative-AI analytics platform that makes complex data science accessible to everyone, regardless of technical background or experience.
How does it work?
Upload your data or connect to an enterprise data source. Perform all your data prep and blend and ask questions of your data in plain English. DataChat translates your words into Python and SQL and then returns with straightforward answers and helpful generated insights and visualizations and how they were generated.
What makes DataChat different from other analytics solutions?
Reproducibility
DataChat automatically documents every step in the analysis.
Spreadsheet or Chat
It can look like Excel or look more like gen AI. You choose.
Built-in Data Science
DataChat selects the best ML model for the question.
Who’s it for?
DataChat is for everyone who manages and uses data. The Platform: Gives data scientists time back by automating rote data processes and analyses. Empowers business users and experts to run complex analyses on their own. Enables executives to get insight into strategic decisions before making them.
How do actual businesses use DataChat?
A Fortune 50 tech company uses DataChat to identify the device brands perform best and last longest. This saves the company millions in purchases.
The database engineer at an AgTech startup uses DataChat to eliminate 12+ hours of data wrangling every week.
Consultants for a global energy company use DataChat to determine which oil wells should be retired and which should continue to operate.
What’s the potential ROI?
Improve productivity, margins, and customer experience with untapped data.
Ensure continuity, validity, resilience, and trust with documentation of every analysis.
Make data-driven decisions, even if you can’t hire another 10 data scientists.