Safetica Intelligent Data Security protects sensitive enterprise data wherever your team uses it.
Safetica is a global software company that provides Data Loss Prevention and Insider Risk Management solutions to organizations.
✔️ Know what to protect: Accurately pinpoint personally identifiable information, intellectual property, financial data, and more, wherever it is utilized across the enterprise, cloud, and endpoint devices.
✔️ Prevent threats: Identify and address risky activities through automatic detection of unusual file access, email interactions, and web activity. Receive the alerts necessary to proactively identify risks and prevent data breaches.
✔️ Secure your data: Block unauthorized exposure of sensitive personal data, trade secrets, and intellectual property.
✔️ Work smarter: Assist teams with real-time data handling cues as they access and share sensitive information.
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DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.
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Qrvey
About Qrvey
Qrvey pioneered multi-tenant self-service analytics for SaaS companies and now leads the evolution toward AI-driven, autonomous analytics. With over 20 years of experience, we provide industry-leading guidance and support, ensuring our clients achieve their analytics goals. Our deep understanding of multi-tenant SaaS architecture and comprehensive services make us the partner of choice for SaaS leaders.
About Qrvey Platform
Qrvey is the embedded analytics platform designed specifically for SaaS companies. Qrvey offers insight, agility and growth.
Insight for your customers
· True self-service with unlimited customization
· AI-driven insights
· No-code workflow automation
Agility for your product team
· End-to-end embedded analytics platform
· Native multi-tenant security
· Flexible multi-cloud deployments
Growth for your business
· Flat-rate pricing for scale
· Unmatched monetization opportunities
· Embedded services
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Hitachi Content Intelligence
Enhancing productivity through intelligent data discovery and transformation allows for quicker insights, ultimately making your business more astute. A solid solution framework facilitates thorough discovery and rapid exploration of your critical business data and storage operations. Regardless of whether the data is on-premises, off-premises, in the cloud, or consists of structured or unstructured formats, Hitachi Content Intelligence optimizes data value to provide the essential information necessary for informed business decisions. By addressing your industry’s challenges related to data growth and sprawl, you can swiftly locate the data you require. Additionally, by enriching your data, you can ensure that your organization receives the most pertinent information to remain updated. Moreover, you can aggregate data from various sources, uncover new insights, and enhance productivity with powerful search capabilities that streamline the entire process. This comprehensive approach allows businesses to adapt and thrive in an ever-evolving data landscape.
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