Coty Employs DX AIOps to Gain Service-Centric Visibility

Broadcom Vendor Case Study 

About Coty

Coty is one of the world’s largest beauty companies, with around 20,000 employees and $9 billion in annual revenue, selling products in over 150 countries. Its portfolio spans cosmetic brands such as COVERGIRL and Max Factor, luxury fragrance brands including Calvin Klein and Burberry, and professional beauty lines such as Wella Professionals and Sebastian Professional.

The Challenges

  • Explosive growth in the size and complexity of an IT infrastructure spanning 4,000 servers and 2,000 network components.
  • A 100% virtualised, fully redundant environment generating a growing volume of event data.
  • Increasing reliance on cloud services and container-based environments.
  • The need for enough agility to keep innovating and competing in Coty’s markets.
  • Scaling IT operations to support product, brand and market growth without a corresponding increase in budget or staffing.

The Solution

Coty’s IT operations team implemented DX AIOps (formerly CA Technologies, now part of Broadcom) for its combination of machine learning optimised for IT environments, seamless integration with the Broadcom tools already in use, comprehensive intelligent automation, and automated topology mapping for a complex network.

High-performance data aggregation fed a data lake that supported the platform’s machine learning.

Business Outcomes

  • Supported continued global growth across a 150-country footprint without a corresponding rise in IT budget or headcount.
  • Reduced operational risk, giving staff the ability to act on problems proactively rather than reacting after service was already affected.
  • Improved agility, letting IT respond faster to changing business requirements.
  • Gave executives clear, service-level visibility into IT health, supporting more confident decision-making at the top of the business.
  • Strengthened customer service through faster issue tracking and resolution.

By harnessing AIOps tools, we can start to add more context around the data delivered. By providing this additional intelligence, we can we can help staff members continue to do their jobs better, without jeopardizing ongoing operations.

Dan Ellsweig  |  Enterprise Management Architect
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Frequently Asked Questions

By combining machine learning optimised for IT environments with automated topology mapping and a high-performance data lake, giving Coty’s IT operations team the ability to cut through event noise and manage a growing, complex global estate proactively, without adding budget or headcount to keep pace.

Continued global growth supported without a corresponding rise in IT cost, reduced operational risk through proactive rather than reactive management, greater agility to respond to changing business requirements, and clearer executive-level visibility into service health.