When Anomalo’s co-founders left Instacart in 2018, they thought they could put machine learning to work to solve data-quality problems inherent in large datasets. Five years later, the company’s i
We all know how important data quality is. That’s where the timeless phrase “Garbage in, garbage out” came from. As the pace of data creation accelerates, and it gets used in a variety o
Data quality has been shaping up as a salient and increasingly critical part of the world of data science: Enterprises are sitting on growing troves of information, but it’s only useful if we ca
What really caught our attention is that Monte Carlo's and Cribl's deals were announced now, right in the middle of a broad startup downturn.
Data quality — the practice of testing and ensuring that the data and data sets you are using are what you expect them to be — has become a key component in the world of data science. Data
The company is investing in how to find data-quality issues faster and get to the root cause so that data outages can be prevented in the future.
With the evident need for solutions to ensure high data quality in the Big Data era, the space has received a lot of attention — especially during the past year.
Avo, a startup that helps businesses better manage their data quality across teams, today announced that it has raised a $3 million seed round led by GGV Capital, with participation from Heavybit, Y
Toro’s founders started at Uber helping monitor the data quality in the company’s vast data catalogs, and they wanted to put that experience to work for a more general audience. Today, the