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Qlik Acquires Mozaic Data: Leveraging Data Products to Simplify Data Management for Enterprise

PHILADELPHIA, Dec. 19, 2023 (GLOBE NEWSWIRE) -- Qlik©, a leader in data integration and analytics, today announced the acquisition of Mozaic Data (Mozaic), an innovative AI-driven data management technology. This timely acquisition marks an advancement in simplifying data handling for businesses, focusing on a data product-oriented approach for better data quality and governance.

Integrating Mozaic into Qlik's portfolio brings a transformative approach to managing data as a product. "Organizations are increasingly seeking to create domain-centric data products that transcend data integration and quality. There's an elevated expectation within the industry," explained Stewart Bond, Vice President, Data Intelligence and Integration Software at IDC. "The focus of Qlik's data quality and governance offerings to embody the concept of data products highlights a maturity that resonates with today's customer needs."

Sharad Kumar, founder of Mozaic, joins Qlik as the Regional Head of Data Integration and Quality. His expertise will further enhance Qlik's innovative capabilities, aiming to develop a next-generation Data Product Catalog solution and allowing customers to extract more value from their data quickly and effectively.

Drew Clarke, General Manager, Data Business Unit at Qlik, emphasized, "The acquisition of Mozaic and Sharad's expertise is a pivotal step in reshaping the data landscape, and is a significant contribution to our ongoing work for 2024. Customers recognize the importance of treating data as a product—a strategy that aligns with the need for a SaaS-based Data Product Catalog, offering a more efficient and user-friendly experience in data lifecycle management, while also reinforcing a solid foundation for AI-driven data management."

Mozaic’s innovative Data Product Experience approach is designed following the principles of decentralized architecture. Mozaic enabled organizations to build, secure, govern, deploy, and manage domain-centric data products in the cloud. These data products can be discovered through a data product marketplace, and accessed through a broad spectrum of consumption patterns, enabling diverse business use cases.

This acquisition is set to accelerate data deployment and utilization across enterprises, especially in cloud platforms like Amazon Redshift, Databricks, Google BigQuery, Microsoft Fabric and Snowflake. The Harvard Business Review notes that treating data as a product can speed up the implementation of new use cases by 90% and reduce total cost of ownership by 30%.

Sharad Kumar commented, "Joining Qlik is a significant milestone for Mozaic Data. We share a vision to improve data consumption by maximizing value from data investments. This is an opportunity to advance the efficiency and innovation in data management driven by AI, integrating seamlessly with Qlik's upcoming projects."

With this acquisition, Qlik reinforces its commitment to providing end-to-end data solutions, seamlessly integrating Mozaic’s technology to enhance the overall data consumption experience for businesses.

About Qlik 
Qlik, with the recent addition of Talend®, delivers an industry-leading portfolio of solutions for data integration, data quality and analytics. This includes advancements in real-time data, AI, ML and automation. The most successful organizations are investing in data to make sense of the increasing amounts and varieties of data from diverse sources. The challenge is to effectively integrate, analyze and act on the data while ensuring its trustworthiness. With more than 40,000 active customers in over 100 countries, Qlik’s solutions work with virtually any data source, target, architecture, or methodology, to ensure customers have the data they need, whenever they need it.

Media Contact:
Keith Parker
keith.parker@qlik.com
512-367-2884

© 2023 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated. 


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