Augmented Data Quality

DQLabs.ai is an augmented data quality platform to manage your entire data quality life cycle. With ML and self-learning capabilities, organizations can measure, monitor, remediate and improve data quality across any type of data – all in one agile, innovative self-service platform.

With a Data Quality First approach and higher degree of automation, both business and technical stakeholders can improve ROI and enrich customer experiences by discovering trustable data and business insights in minutes.

We have an out of the box platform that provides immediate data quality metrics for Data Quality Stewardship, Active Metadata Management, Catalog, Governance and DataOps monitoring and alerts.

Modules

DQLabs platform module is categorized to span across the entire life cycle of Data Quality. Furthermore, the platform has both API and a rich UI portal with self-learning capabilities that can integrate and work well with any existing products in your landscape.With a prime focus towards Data Quality, DQLabs modules are categorized into

Smart Connectors

Connect to unlimited data sources in any form, shape, location

Semantic Discovery

Auto discover rules by semantic identification and classification

Measure Data Quality

Evaluation of all attributes across subjective and objective data quality dimensions

Monitor Drift and Behavior Analysis

Continuous DQ monitoring using different types of anomaly detections across length, pattern, null and blank

Remediate and Improve Data Quality

Remediate Data Quality Issues by cleaning, enriching and merging good records using ML based Smart Curation and Self Learning

Business Dashboards and Insights

Outcome focused measurement using KPI, metrics and performance measures

With these modules, you can now configure the platform however you want depending upon your data maturity cycle irrespective of whether you are just starting out or already working with an ecosystem full of data governance, catalog, and modern data management products.

What our customers say

[sp_testimonial id="3574"]

What our customers say

" DQLabs handed us the real automation that we were looking for, along with connecting, discovering, profiling, cleansing and more. Now we trust the quality of the data we use to project our business outcomes."

" The impact that we are making with DQLabs is profound. Inventory of data assets is maintained through the semantic discovery and organization of distributed datasets."

" Finally, with the help of DQLabs we were able to enrich geospatial data to aid anyone interested in affordable housing with more accurate location information about the funded projects."

" DQLabs was chosen by the value proven through Proof-Of-Concept engagement and it certainly made an impact over the rivals in the area of DQ. Now the entire Data Quality life cycle is automated!"

" DQLabs has played a tremendous role in collecting and sensing valuable information with out-of-the box self-learning capabilities. A data quality-focused approach of reporting and analytics helps boost in forecasting efficiency and operations."

" In order to gain customer insights, first we needed a platform with superior data integration capabilities to create single customer views using customer data from a wider variety of internal systems."

" Transparency and accountability are high priorities for the City of Spokane. DQLabs and Azure Databricks enable us to deliver a consistent source of cleansed data to address concerns for high-risk populations and to improve public safety and community planning."

" We evaluated multiple products for automated data quality and governance and finally integrated DQLabs with our platform which empowered our customers with self-service capabilities."

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.