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“We chose Globalscape because it was the right level of functionality with plenty of scope for future improvements, while still fitting our available budget.”
“Our effi ciency improved 100% using Globalscape’s WAFS soluƟ on.”
Alation is the leader in enterprise data intelligence solutions, including data search & discovery, data governance, data stewardship, analytics, and digital transformation. Alation’s initial offering dominates the data catalog market. Thanks to its powerful Behavioral Analysis Engine, inbuilt collaboration capabilities, and open interfaces, Alation combines machine learning with human insight to successfully tackle even the most demanding challenges in data and metadata management. More than 500 enterprises drive data culture, improve decision-making, and realize business outcomes with Alation, including AbbVie, American Family Insurance, Autozone, Cisco, Draft Kings, Exelon, Fifth Third Bank, Finnair, NASDAQ, Parexel, Pfizer, Salesforce, Virgin Australia, and Vista.
BackOffice Associates is a worldwide leader in data migration, data stewardship and information governance solutions, with a concentration on enhancing data quality since 1996. BackOffice Associates range of products and services address the needs of business and IT users seeking to unlock the value of BackOffice Associates data assets. Whether monitoring ongoing information quality, or executing the most complex migration and governance initiatives, BackOffice Associates is the clear choice for customers requiring "Business-Ready Data Every Day.
Ontotext is a global leader in semantic technology and knowledge graph solutions. It helps enterprises lower data management costs by up to 30%, enable data fabric architectures, structure and integrate complex siloed data, making it accessible, interpretable, and reusable. Ontotext is the vendor of GraphDB - a highly scalable and performant RDF database engine used for building knowledge graphs - and a few other distinct products. This makes the company a suitable choice for handling large-scalce datasets, for powerful and cost effective text analysis, and for enterprise knowledge management, where deriving meaning and context from unstructured and semi-structured data is of prime importance.
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