新万博移动客户端Collibra获得预测数据质量供应商OwlDQ

OwlDQ uses machine learning to detect anomalies in data, to generate data quality rules automatically and to reconcile replication errors. The company helps leading organizations like Constellation and VillageCare make their data cleaner every day. The integration of OwlDQ into the Collibra Data Intelligence Cloud introduces a new offering, Collibra Data Quality, which will allow organizations to centralize and automate data quality workflows to comply with global regulations and streamline their data and analytics processes across the enterprise. 

“Data quality is integral to Data Intelligence, and poor data quality is a key reason why organizations don’t trust their data,” said Jim Cushman, chief product officer for Collibra. “Together, Collibra and OwlDQ will provide organizations with a single, cloud-based system of engagement to unify data governance, data privacy, data catalog, data lineage and now continuous data quality so teams can more easily and confidently get to trusted business insights and become data informed.”   

Many companies lack the enterprise data quality foundation necessary to respond to regulatory and business analytics demands in a scalable way. Without one, organizations are often trapped in manual rule writing and management, limited data connectivity, and a siloed view of data quality. This can result in massive productivity loss and costly fines due to regulatory risk and non-compliance, along with significant potential revenue loss.

“We’ve developed some of the most advanced machine learning to address comprehensive data quality challenges, such as profiling, rules, data reconciliation and discovering hidden data relationships. With OwlDQ’s predictive data quality, companies can reduce complex and error-prone manual rule writing, streamline their data and analytics processes and expedite trusted business outcomes,” said Kirk Haslbeck, founder and CEO of OwlDQ, who will serve as vice president of engineering at Collibra. “We are so excited to bring OwlDQ together with the Collibra Data Intelligence Cloud to provide a unified, scalable solution across diverse databases, files and streams with continuous and comprehensive self-service data quality through ML-powered, auto-discovered and adaptive data quality rules.”

The acquisition is the latest milestone for Collibra, which reached a $2.3 billion valuation with its Series F funding in April 2020. The company also added more than 100 new customers in the past year, and today works with nearly 500 global companies, including seven of the 10 largest pharmaceutical companies, 70% of the 10 largest U.S. banks and several of the world’s largest retailers. Recently, Collibra was named a Leader in both the Forrester Wave for Machine Learning Data Catalogs (Q4 2020) and the 2020 Gartner Magic Quadrant for Metadata Management.  

Supporting Quotes

\"The addition of OwlDQ to the Collibra portfolio makes continuous data quality a reality, and bolsters the company's leadership in data intelligence,\" said Stewart Bond, research director for data integration and data intelligence software at IDC. \"This acquisition further reinforces how critical data quality is in data intelligence, and will provide Collibra customers with a single system of engagement for trusted, contextual data that is necessary to make data-driven business decisions.\"

“OwlDQ is a game changer in data quality,” said Ku'uipo Curry, director of IT data management at VillageCare. “When we found inconsistencies in our data we turned to OwlDQ to help us fix these complex issues. Owl helped us to safeguard and protect from these mishaps in the future. In addition, we were able to pull the results into a Tableau dashboard for our users to incorporate data cleaning into their workflows.”

About Collibra

Collibra is the Data Intelligence company. We accelerate trusted business outcomes by connecting the right data, insights and algorithms to all data citizens. Our cloud-based platform connects IT and the business to build a data-driven culture for the digital enterprise. Global organizations choose Collibra to unlock the value of their data and turn it into a strategic, competitive asset. We have a diverse global footprint, with offices in the U.S., Belgium, Australia, Czech Republic, France, Poland and the U.K. For more information, visit collibra.com.

新万博移动客户端Collibra,数据情报公司,今天宣布收购OwlDQ,预测数据质量软件的领先供应商。

OwlDQ使用机器学习来检测异常数据,自动生成数据质量规则和调和复制错误。公司帮助领导组织像星座和VillageCare天天数据清洁。OwlDQ进入的集成新万博移动客户端Collibra数据智能云引入了一个新的产品,Collibra数据质量,这将使组新万博移动客户端织集中和自动化数据质量工作流程遵守全球规则和简化整个企业的数据和分析流程。

“数据质量积分数据情报和数据质量差是一个关键的原因组织不信任他们的数据,”吉姆说Cushman, Collibra首席产品官。新万博移动客户端”在一起,Collib新万博移动客户端ra OwlDQ将为组织提供一个单一的、基于云的系统的统一数据治理、数据保密、数据目录、数据沿袭和现在连续数据质量团队可以更容易地,自信地去信任的商业见解和成为数据通知”。

许多公司缺乏必要的企业数据质量的基础来应对监管和业务分析需求可伸缩的方式。没有一个,组织经常被困在手工规则编写和管理,有限的数据连接,和一个孤立的数据质量。这可能导致巨大的生产力损失和代价高昂的罚款由于监管风险和违规行为,以及重要的潜在的收入损失。

“我们已经开发了一些最先进的机器学习解决全面数据质量的挑战,如分析、规则、和解和发现隐藏的数据关系。OwlDQ的预测数据质量,企业可以减少复杂且容易出错的写作手册规则,简化他们的数据和分析过程和加快可信的业务成果,”柯克Haslbeck说OwlDQ的创始人兼首席执行官,他将作为Collibra的工程副总裁。新万博移动客户端“我们很兴奋将OwlDQ Collibra数据智能云一起提供一个统一的、可伸缩的解决方案在不同的数据库、新万博移动客户端文件和流连续的和全面的自助服务通过ML-powered数据质量,数据质量规则和自适应这里用处不大。”

Collibra收购是最新的里程碑,达成23亿美元估值的F系列资助在2020年4月。新万博移动客户端该公司还增加了100多个新客户在过去的一年中,今天工作近500年全球公司十大制药公司,包括7名,70%的美国前十大银行和一些世界上最大的零售商。最近,Collibr新万博移动客户端a被任命为一个领导者的Forrester波为机器学习数据目录(2020年第四季度)和2020年Gartner的魔力象限元数据管理。

支持报价

“添加OwlDQ Collibra组合使连续的数据质量成为现新万博移动客户端实,在数据和支持公司的领导智慧,”斯图尔特说债券,研究主管在IDC数据集成和数据智能软件。“这次收购进一步关键数据质量数据情报,并将提供Collibra接触的客户提供一个系统信任,上下文数据,使数据驱动业务决策是必要的。”新万博移动客户端

“OwlDQ是一个改变游戏规则在数据质量,“说Ku 'uipo咖喱,VillageCare它数据管理主管。“当我们发现在我们的数据不一致我们转向OwlDQ帮助我们解决这些复杂的问题。猫头鹰帮助我们维护和保护从这些未来的灾难。此外,我们可以把结果为我们的用户表仪表板数据清理合并到他们的工作流程。”

关于Coll新万博移动客户端ibra

新万博移动客户端Collibra是情报公司的数据。加快可信业务成果通过连接正确的数据,所有数据公民见解和算法。我们的云计算平台将IT与业务连接到数字企业构建一个数据驱动的文化。全球组织的价值选择Collibra解锁他们的数据并将其转新万博移动客户端化为战略性、竞争性资产。我们有一个多样化的全球足迹,在美国设有办事处、比利时、澳大利亚、捷克、法国、波兰和英国的更多信息,请访问新万博移动客户端collibra.com。