As organizations use more data in distributed environments and face more complex business requirements, data and analytics leaders are challenged to employ effective data quality programs and tools to maintain high data quality. DQLabs augmented Machine Learning enabled platform performs all of the required data quality tasks with the use of efficient and effective automation that is transparent to business and technical users.
Leverage DQLabs AI/ML augmented data quality platform to scan all types of data sources and data sets in real time. Manage your data quality with scoring that tracks, manages and improves data quality over time.
Data quality can mean different things to various departments, their business user and their technical users. The DQLabs platform has made it possible for organizations to reach a consensus by providing the ability to compare scores form one source to another irrespective of the type or size of the organization.
Track, Manage and Improve your data quality over time using DQLabs Autonomous Data Quality profiling that can scan any type of data in real time and provide you with an immediate quality impact analysis.
The DQLabs visual learning environment allows business and technical users to interact with data and understand the root cause of any quality issues. The platform comes with prebuilt algorithms that are fine tuned to automatically discover patterns, insights, fraud, missing values and correlations across attributes, datasets and data sources within a fraction of minutes to improve data quality.
Discover, analyze and understand in minutes critical patterns and Insights by performing on demand or scheduled profiling as part of the integral UI. Recognize immediate ROI without requiring any advanced skills.
All integral metadata information and cataloguing of sources includes a data quality score (DQScore™), a simple intuitive way for data analyst, modelers, and business analyst to understand the impact of data usage via reports and analytics.
As businesses shift in strategy and data changes, DQLabs automatically discovers and monitors these changes employing autoconfigurations to improve data quality – all autonomously without any human intervention.
DQLabs offers an autonomous data quality platform that scans various types of data sources and data sets in real time and provides scoring with the ability to track, manage and improve data quality over time. It also discovers patterns, insights, fraud, missing values and correlations across attributes using all connected datasets and data sources within a fraction of minutes.
Demand for data drives collaboration. For many data leaders, the mandate is clear: use data to deliver business value. And, with new use cases and data-intensive analytic methods, demand for data has exploded. Innovative data leaders have begun to break down silos within their organizations, and realize that just having a modern data stack is not enough.
Join us on this webinar to learn how the DQLabs platform is the Modern Data Quality Platform eliminates critical data silos by centralizing Data Observability, Data Quality, and Data Discovery into a single, agile AI-driven platform.
12:00 pm: Welcome & Introductions
12:05: pm: Industry Insights: Data Collaboration in the Modern Data Stack
12:15 pm: DQLabs in Action: Top-Down Data Health with the DQLabs Platform
12:30 pm: Questions & Answers
12:45 pm: Close