A preeminent provider of analytics whose predictive modeling, decision analysis, intelligence management, decision management systems, and professional services power more than 25 billion mission-critical customer decisions a year, was looking for a more cost-effective real-time database and decision engine. After significant analysis of the current state as well as review of long-term roadmap requirements, our recommendations ended up saving more than $10m/yr on licensing and more than $3m/yr on infrastructure.
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