DQLabs’ AI augmented analytics data quality platform does more than just save you the hassle of scrutinizing all your data sources separately. Today the data preparation team is more focused on preparing the data by either writing programs or ETL functions or custom solutions . By the time they finish, business strategies are changed resulting in change in data landscape and putting this cycle in a circle of never ending realization. DQLabs was created to solve this and use the innovation of AI/ML to power the decisioning. Over time, the platform reads the data and discovers patterns that make it better and more effective in quality leakage and resolution by auto cleansing.
Regardless of the size of your company and the amount of data you have to deal with daily, an automated data quality platform can help you manage data vs. you managing another data management platform. You will be able to detect, interpret, and resolve data issues within your company’s system without actually “doing” it. Further you as a data stewards, data analysts or leadership team can intervene
With the help of a comprehensive data quality platform such as DQLabs, organizations can make quicker decisions as well as perform ingest multiple data sources and still maintain and improve higher quality with immediate ROI and shift with sudden disruptive changes in market conditions.
Choosing the Right Data Quality Tools
Impacts of Poor Data Quality
Steps to collect High-Quality Data
How to Build Your Data Quality Team
PUBLIC, GOVERNMENT & NON-PROFIT
The City is one of the top-ranked metropolitan areas in the United States...
FINANCE & WEALTH MANAGEMENT
One of our customers is a leading U.S. based Asset Management service provider...
AUTOMOTIVE & MANUFACTURING
A major automotive software provider is in the business of consolidating data from...