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"Graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions after the design of data capture" - Gartner.
Graph Database and analytics are forecasted to grow 100% annually by Gartner. By organizing data in a graph format, graph databases overcome the big and complex data challenges that other databases, such as relational and NoSQL, cannot.
Selecting graph software is an important decision that can shape the success of your organization. Unfortunately, buyers often struggle to reconcile the conflicting claims made by different graph software vendors.
By watching this webinar, you will:
• Know where the graph database & analytics market is going and how to benefit from it;
• Be able to decide if it’s time to upgrade your existing data analytics solution;
• Learn about the latest graph functionality, including no-code graph analytics;
• Understand how to lower hardware costs by 50% or more and drive lower cost of
ownership for the graph database & analytics.
We will also cover use cases & client case studies for graph analytics including real- time fraud detection at four of the top 5 global banks, personalized offers for 300 million consumers & care path recommendations to improve well being for 50 million patients.