Crayon Data

How Crayon Data reduces cloud costs and gains visibility with Economize

Discover how Crayon Data leveraged Economize, to monitor, track, and optimize their AWS and Azure cloud expenses, achieving enhanced cost visibility and significant savings.

“Economize platform helped us in bringing visibility of cloud spent with its insightful recommendations in a single platform for multi cloud workloads (AWS / Azure) and resulted in increased visibility with significant decrease in the cloud cost.”

Borus RJ

Senior DevOps Manager @ Crayon Data

About

Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a local presence in India and the UAE. Backed by Jungle Ventures and the family offices of Kris Gopal and Ratan Tata, the company was founded in 2012 with the vision of simplifying the world’s choices. Their flagship platform, maya.ai, helps enterprises across the Banking, Fintech, and Travel unlock the value of their data and personalize customer engagement. maya.ai is driven by 3 AI patents off a cloud agnostic, flexible, and scale platform.

Challenges

  1. Lack of unified visibility: Managing multiple cloud environments (AWS and Azure) made it difficult to gain a consolidated view of overall cloud spend.
  2. Unoptimized cloud workloads: Inefficient resource allocation led to unnecessary costs and underutilized resources across workloads.
  3. Complex cost analysis: Identifying actionable insights from raw cloud usage data was time-consuming and error-prone.

Solution

  1. Comprehensive cost visibility: Economize provided a unified platform to track and monitor cloud expenditures across AWS and Azure.
  2. Actionable insights: The platform delivered tailored recommendations to optimize workload configurations and reduce waste.
  3. Automation of cost tracking: Automated reporting and real-time alerts minimized manual effort and improved responsiveness to overspending.
  4. User-friendly dashboard: A simple, intuitive interface made it easy to analyze trends and take proactive cost-saving actions.

Outcomes

  1. Enhanced cost transparency: Centralized visibility into multi-cloud spending improved decision-making.
  2. Significant cost reduction: Optimized resource allocation led to a measurable decrease in overall cloud costs.
  3. Improved operational efficiency: Automation and actionable insights saved time and reduced manual intervention.
  4. Scalable cloud management: The platform empowered Crayon Data to manage costs effectively as their cloud usage scaled.

Industry

Technology, Information and Internet

Company Size

150+ employees

Location

Singapore

Website

https://crayondata.ai/