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纽约
2018年6月22日

新万博移动客户端Collibra公认的领先的独立研究报告机器学习数据目录

Collibra Receives Highest Possible Score in the Stewardship and Governance, Security, Planned Enhancements, Research and Development, and Regional Coverage Criteria

New York, June 22, 2018 – Today, Collibra, the leader in enterprise data governance and catalog software, announced it was cited as a leader by Forrester Research in The Forrester Wave™: Machine Learning Data Catalogs, Q2 2018. Collibra received the highest possible scores in the Stewardship and Governance, Security, Planned Enhancements, Research and Development, and Regional Coverage criteria. Collibra also tied for the second highest score in the Collaboration criterion.

“Collibra has long posited that true data value can only be unlocked by empowering everyone across the enterprise – every data citizen -- to easily find, understand and trust that data for business advantage,” said Felix Van de Maele, Collibra co-founder and CEO. “The Collibra data governance and catalog solution gives organizations an offensive data tool to solve critical business challenges by automatically interpreting and optimizing the use of data from disparate sources. This is especially critical today as organizations are looking to derive value from their many big data initiatives, as well as comply with data protection and security regulations, and drive new technology trends like AI.”

According to the Forrester report, “The Machine Learning Data Catalog (MLDC) market is growing because firms want to scale data to the masses through self-service. However, back-end data management technology can’t support tribal knowledge, provide a good user experience (UX) for data consumers, and scale across a highly federated data ecosystem. MLDCs solve this and scale elastically by leveraging their machine learning (ML) capabilities.”

The report states, “The growth of data is outpacing organizations’ ability to get value from it. The two biggest challenges our respondents reported in using systems of insight were, 1) merging existing business processes to source data to analyze it and implement insights, and 2) sourcing, gathering, managing, and governing the data as it grows. For EA professionals, relying on people and manual processes to provision, manage, and govern data simply does not scale. Enterprises are waking up to this fact and turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”

In reference to Collibra, the Forrester report states, “Known for its data governance prowess, Collibra now goes beyond semantic metadata management, business glossary functionality, and stewardship cockpits. Adding support for systems and logical metadata into its core catalog, Collibra better manages data models, schemas, classification, tagging, and certification. Adding a data shopping environment makes Collibra a hub for data democratization and activation.”

The report also states, “Collibra customers provide strong reviews on a business user and analyst friendly environment to search, understand, and gather data. Collaboration is at the core of the product through social mechanisms, workflows, and usage analytics. Enterprises seeking to turn on self-service data sourcing but still maintain oversight will find that Collibra fits the bill.”

* The Forrester Wave™: Machine Learning Data Catalogs, Q2 2018 by Michele Goetz with Gene Leganza, Elizabeth Hoberman, and Kara Hartig, June 21, 2018.

About Collibra

As the leader in data governance and catalog software, Collibra helps organizations across the world gain competitive advantage by maximizing the value of their data across the enterprise. Collibra is the only solution purpose-built to address the gamut of data stewardship, governance, and management needs of the most complex, data-intensive industries. Our flexible and configurable cloud-based or on-premises solution puts people and processes first – empowering every data citizen to find, understand and trust the data to unlock business value. Learn more at www.dapouch.com.

Media Contact:
Colleen Irish
617-842-1511
cirish@tieronepr.com

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新万博移动客户端Collibra获得尽可能高的分数在管理和治理、安全、改进计划,研究和开发,区域覆盖标准

纽约,2018年6月22日——今天,新万博移动客户端,领导者在企业数据治理和目录软件,宣布将引用作为一个领导者Forrester研究Forrester波™:机器学习数据目录,2018年第二季度。新万博移动客户端Collibra得分最高的的管理和治理、安全、改进计划,研究和开发,区域覆盖标准。新万博移动客户端Collibra也并列第二得分最高标准的合作。

“新万博移动客户端Collibra早就提出,真正的数据值才能解锁赋予每个人都跨企业——每个数据公民——很容易发现,理解和信任,数据业务优势,”菲利克斯Van de Maele说,Collibra联合创始人兼首席执行官。“Coll新万博移动客户端ibra数据治理和目录解决方案提供组织进攻数据通过自动翻译工具来解决关键业务挑战和优化使用来自异类数据源的数据。这是尤其重要的今天组织正在寻求从他们的许多大数据项目中获取价值,以及符合数据保护和安全法规,并推动新技术趋势像人工智能。”

根据Forrester报告”,机器学习数据目录(MLDC)市场增长,因为公司想扩展数据通过自助服务群众。然而,后端数据管理技术不能支持部落知识,提供良好的用户体验(UX)数据消费者,在高度和规模的联邦数据生态系统。MLDCs解决这个和规模弹性利用机器学习(ML)的能力。”

报告指出,“数据的增长超过组织的有价值的信息的能力。两个最大的挑战我们的受访者表示在使用系统的洞察力,1)源数据合并现有的业务流程分析和实现的见解,和2)采购,收集、管理和管理数据。EA专业人员,依靠人们和手动流程规定,管理和控制数据根本不规模。意识到这个事实,把企业数据目录民主化访问数据,使部落知识来建立信息数据,应用数据政策,迅速激活所有数据业务价值。”

参考Collibra, Forr新万博移动客户端ester报告指出,“数据治理能力而闻名,现在Collibra超越语义元数据管理,业务术语表的功能,和管理驾驶舱。支持系统和逻辑元数据添加到其核心目录,Collibra更好的管理数据模型、模式、分类、标签、和认证。新万博移动客户端购物环境使得Collibra添加一个数据中心数据民主化和激活”。新万博移动客户端

报告还说,“Collibra客户提供强有力的业务用新万博移动客户端户和分析师评论搜索友好环境,理解,和收集数据。合作是通过社会机制的核心产品,工作流,和使用分析。企业寻求打开自助数据采购但仍保持监管会发现Collibra适合该法案。”新万博移动客户端

* Forrester波™:机器学习数据目录,2018年第二季度通过与基因Leganza米歇尔Goetz,伊丽莎白霍伯曼,和卡拉Hartig, 2018年6月21日。

关于Coll新万博移动客户端ibra

在数据治理和编目软件,Collibra世界各地帮助组织获得竞争优势通过最大化他们的数据在整个企业的价值。新万博移动客户端新万博移动客户端Collibra是唯一解决方案专用地址的数据管理、治理和管理最复杂的需求,数据密集型行业。灵活的和可配置的基于云的或本地解决方案使人们和过程——赋予每一个公民的数据发现,理解和信任数据解锁业务价值。学习更多在www.新万博移动客户端collibra.com

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cirish@tieronepr.com

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