Augmented Data Quality

Use DQLabs to scan various types of data sources and data sets in real time. Generate your data quality score with the ability to track, manage and improve data quality over time.

Overview

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.

Data Quality Features

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.

Assure consensus in understanding data quality

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.

Improve data quality on any types and/or forms of data anywhere

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.

Highly interactive visual learning environment

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.

User driven interactive profile execution

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.

Out of the box catalog with quality scorecard

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.

Trend Analysis

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.

Data Quality

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.

  • Obtain a consensus regarding data quality understanding requirements
  • Improve data quality on any types and/or forms of data
  • Reduce start up and training time with the highly interactive visual learning environment
  • Employ user driven / interactive profile execution
  • Reduce time with DQLabs Out-of-the box catalog with quality scorecard
  • Understand your data lifecycle with trend analysis

Best Practices

See what DQLabs can do

Smart Cities MDM Initiatives

The City is one of the top-ranked metropolitan areas in the United States. The City’s regional economy is versatile and spread across various verticals, with a robust emphasis on life sciences, agribusiness education and research, logistics, manufacturing, aerospace, and professional services.

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