PASADENA, Calif. | December 21, 2020
DQLabs, Inc., a visionary in augmented data quality management, today announced it has been recognized as a vendor using AI-enabled methods in helping organizations deliver quality data in the December 2020 Building Automation into Your Data Quality Initiatives report, by leading research and advisory company, Gartner.
“We’re thrilled Gartner has recognized DQLabs,” said Raj Joseph, CEO, DQLabs, Inc. “We strive to provide organizations the ability to manage data smarter through our autonomous, continuous learning AI/machine learning product. For us this recognition is a testament to our commitment and effort to offer industry leading data management capabilities to help our client partners maximize and realize their full revenue potential.”
According to the Gartner report, “With the growing volume and complexity of datasets entering organizations, automation is required to scale data quality practices.
“We believe DQLabs’ augmented data quality platform provides these critical capabilities to help organizations manage data smarter,” continued Mr. Joseph.
With evolving consumer behaviors and impact of COVID-19, organizations are forced to change strategies faster than ever before and leverage data as produced even with growing challenges of data growth and disparate location, types of data format. CIOs, Leaders in Data Governance, Data Management and stakeholders are taking this opportunity to reassess their data management governance, processes and technology environments to identify areas where augmented capabilities can increase efficiencies and provide immediate ROI.
“In today’s data world, traditional methods of data management take time, cost and effort,” said Raj Joseph, CEO, DQLabs, Inc. “Not only that but when organizations change strategies, the underlying data shifts forcing to revisit rules, procedures created and play a constant catch up game of trying to understand data. DQLabs’ augmented data quality product combines data catalog, governance, lineage, data quality and data privacy capabilities with a focus towards data quality enabling organizations to leverage good data immediately”.
The report continues to say, “Using AI, the process is greatly accelerated… Data quality issues do not just occur from bad and erroneous data. Changes in business practices that generate new data or changes existing data patterns can break assumptions about the data in downstream processes. AI-enabled systems that can look for anomalies, detect functional dependencies and account for time-based variations in data automatically, without human input, can greatly improve technical professionals’ capacity to detect and adjust to potential data quality problems before they impact data driven processes.”.
DQLabs was named as a data preparation/data fabric vendor that utilizes AI-enabled methods to deliver quality data. The report also recommends organizations to seek Data-Driven AI-Enabled Data Quality Tools for Complex and Rapidly Changing Data Problems and Metadata-Driven, Top-Down Data Quality Solutions for Analytics Governance and MDM Use Cases. DQLabs with its comprehensive integrated modules support both root cause and data remediation efforts with fully transparency, auditability of automated data quality processes.
About DQLabs, Inc.
DQLabs, Inc. is a visionary in augmented data quality management providing organizations a simple way to manage data and handles issues around data quality, governance, preparation/curation, master data management effectively. With the use of AI and Machine Learning – the sophistication of the technology is blended carefully with the art of simplicity and usability. All complex tasks around data ingestion, data catalog, data profiling, data preparation, data curation, data governance, master data management and reporting is all done in few clicks by any non-technical business user.
For more information, visit: www.dqlabs.ai.