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.
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.collibra.com.