Whitepaper
The path to smarter, faster data-driven decisions
Today’s organizations need to make decisions at the speed of business. This means data users need quick access to relevant, timely data. They need a discovery platform that enforces trust, as well as human guidance to wield what they find effectively. How is self-service business intelligence analytics evolving to meet these needs?
See why the next chapter in data management is self-service data intelligence.
Download this white paper to learn:
How democratizing access enables the business user to wield data – and drive results
Why confidence in data begins with a data catalog that supports data governance
A four-step process for establishing a self-service data intelligence initiative
Connect your business to your data teams with self–service data intelligence. Get your complimentary copy of this white paper today.
Alation Brief
Join us to explore how Alation Anywhere brings the power of data intelligence directly to your fingertips - right in your browser. Our integrations now extend beyond Excel, Teams, Slack, Tableau, and Google Sheets to include Chrome. With the Alation Anywhere Chrome Extension, you can search, preview, and trust critical data without leaving Chrome, enabling faster, more informed decisions across your organization and seamlessly fitting into your workflow.
Webinar On-Demand
In today’s rapidly evolving digital landscape, effective data governance is critical for organizations striving to manage diverse and numerous data types. Ensuring the trustworthiness of AI/ML models requires robust governance of both inputs and outputs.
Webinar On-Demand
As AI becomes increasingly integral to business operations, effective governance is essential to ensure innovation remains safe, auditable, and compliant. According to IDC research, the two top concerns for organizations investing in generative AI solutions are: the lack of GenAI skills or expertise within the organization and the accuracy of AI-generated outcomes. Building AI literacy and leveraging accurate, trusted data are crucial for driving successful AI initiatives.