Knowi Blog
Stay ahead with expert insights on analytics, AI, embedded BI, healthcare data, and the databases that power modern businesses.
Come As You Are (aka no ETL required)
Knowi’s nifty natural language and machine learning capabilities mean we just may have stumbled upon the answer to everyone’s dreams and one that supersedes the ETL relic of old.
The Six Steps of Creating a Machine Learning Model in Knowi
Creating a Classification Model for Breast Cancer Screening The UCI Machine Learning Repository contains many full data sets that can be used to test and
5 Smart Takeaways from Our Webinar with Skratch
Curious to see how mobile application development company, Skratch, is making sense of silo’d data with augmented analytics technology? Scott Bennet, CEO of Skratch, and
Native Analytics on MongoDB Atlas – Tutorial
This is a 10 minute, hands-on tutorial of setting up connectivity to MongoDB Atlas and building visualizations from it using Knowi. The end result is
Add Predictive Analytics on Your Dataset in 3 Steps
Knowi Predictive Analytics brings machine learning capabilities to every Data Engineer. Integrate machine learning into your analytics workflows and drive data directed actions. The platform
Augmented Analytics: What It Is and Why You Need It
You hear it everywhere that business teams are hungry for analytics. They crave accurate predictions and forecasts to allow them to make better business decisions,
Tableau and MongoDB Analytics: Why It’s a Bad Marriage
The Challenges of MongoDB Analytics (or any other NoSQL analytics) with Tableau First off, we are not here to bash Tableau. Tableau is an excellent
How Boku Successfully Transitioned to a Data-Driven Enterprise Using Knowi
We had a chance to sit down with our friends at Boku recently and talk about how they are using Knowi to provide business analytics
Will Cockroaches and Data Silos Be the Only Things Left? Part II
Data Services is the Answer! Yes, but… In our last post, we talked about using a data warehouse strategy as one of the ways to
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Connect your databases, run cross-source joins, and ask questions in plain English. No warehouse required.