In the data-driven world where real-time decision-making and innovation are not just goals but necessities, global data analytics and technology companies like Equifax must navigate a complex environment to achieve success. Equifax sets the standard for operational excellence by enabling real-time decision-making, accelerating innovation, scaling efficiently, consistently achieving service level agreements (SLAs), and building reliable data pipelines. Let’s delve into the strategies that lead to such a resounding transformation, with a spotlight on the pivotal role of data observability and FinOps.
When Speed Meets Precision: Revolutionizing Credit Scoring
Kumar Menon, the Equifax CTO for Data Mesh and Decision-Making Technologies, faced a formidable challenge: enabling sub-second credit scoring. And he is not alone. “Many organizations find it challenging to turn their data into insights quickly enough to generate real and timely results” (Deloitte). With Unravel’s data observability and FinOps platform, Kumar’s team overcame this hurdle to deliver faster insights and decisions while fortifying Equifax’s competitive edge.
Unifying Data with Vision and Strategy
The necessity to integrate data across six cloud regions cannot be overstated for a company operating at Equifax’s scale. Gartner discovered that many organizations struggle with “high-cost and low-value data integration cycles.” Kumar Menon and his team, leveraging the tools and methodologies of data observability and FinOps, streamlined this intricate process. The result? Faster and more economical products capable of satisfying the needs of a constantly shifting market.
Mastering the Data Deluge
Managing over 10 petabytes of data is no small feat. IDC noted enterprises’ need for “responsiveness, scalability, and resiliency of the digital infrastructure.” Equifax, with Kumar Menon’s foresight, embraced the power of Unravel’s data observability and FinOps frameworks to adapt and grow. By efficiently managing their cloud resource usage, the team was able to scale data processing with the appropriate cloud resources.
Delivering Real-Time Decisions
The Equifax team needed to support 12 million daily inquiries. Operating production services at this scale can be overwhelming for any system not prepared for such a deluge. In fact, Gartner uncovered a significant challenge around the ability to “detect errors and lower the cost to fix and shorten the resulting downtime.” Data observability and FinOps serve as Kumar Menon’s frameworks to not only confront these challenges but to ensure that Equifax can consistently deliver accurate, real-time decisions such as credit scores and employment verifications.
Streamlining Massive Data Ingestion
The Equifax data team’s colossal task of ingesting over 15 billion observations per day could potentially entangle any team in a web of complexity. Again, Gartner articulates the frustration many organizations face with “complex, convoluted data pipelines that require toilsome remediation to manage errors.” Unravel’s platform provided Kumar’s team the means to build and maintain reliable and robust data pipelines, assuring the integrity of Equifax’s reliable and responsive data products.
The Path Forward with Unravel
In a data-centric industry, Equifax exemplifies leadership through precision, agility, and efficiency. The company’s journey demonstrates their capacity to enable real-time decision-making, accelerate innovation, and ensure operational scale and reliability.
At Unravel, we understand and empathize with data teams facing substantial challenges like the ones described above. As your ally in data performance, productivity, and cost management, we’re committed to equipping you with tools that not only remove obstacles but also enhance your operational prowess. Harness the power of data observability and FinOps with Unravel Data through a self-guided tour that shows how you can:
- Deliver faster insights and decisions with Unravel’s pipeline bottleneck analysis.
- Bring faster and more efficient products to market by using Unravel’s speed, cost, and reliability optimizer.
- Scale data processing efficiently with Unravel’s correlated data observability.
- Achieve and exceed your SLAs using Unravel’s out-of-the-box reporting.
- Build performant data pipelines with Unravel’s pipeline bottleneck analysis.
Ready to unlock the full potential of your data strategies and operations? See how you can achieve more with data observability and FinOps with Unravel Data in a self-guided tour.