The modern data stack in every company can be complex, making it difficult to get a complete overview of your data's quality. This hinders making real-time data-informed decisions.
This is why we created Validio - a platform to give you full control over your data.
One way we give you control is through our Data Quality & Observability solution, which harnesses machine learning, segmentation, and rapid backfilling. This blend provides easy-to-configure and customizable monitoring that autonomously adapts to your unique data patterns—no manual intervention or expertise required.
In the event of something unexpected, Validio promptly identifies the cause, assesses potential impacts, and offers quick resolution guidance.
Our approach empowers data consumers and business users with real-time insights into the data's health, eliminating the need for them to be data engineers to gauge data trustworthiness.
So how does it work?
Our Data Quality & Observability solution is meticulously designed around three core features, all working together - Rapid Backfilling, Dynamic Thresholds, and Segmentation.
Each component plays a critical role in achieving unquestionable trust in your data in an automated manner:
1. Rapid Backfilling: Instant feedback for detailed fine-tuning
Every business is unique, and Rapid Backfilling allows you to tailor your anomaly detection specifically for your business needs. It ensures that your historical data informs your present insights without delay. Fine-tune your monitoring setup and get instant feedback on how it impacts your business metrics without having to wait days, hours, or even minutes.
2. Dynamic Thresholds: Self-adjusting validation rules
Most businesses have seasonal patterns reflected in the data, which means monitoring rules need to be constantly adjusted to match the changing patterns. Validio’s Dynamic Thresholds uses machine learning to adapt in real-time as your business landscape evolves. This removes the burden of manual oversight, ensuring you can trust your automated monitoring to be accurate even as your data changes.
3. Segmentation: Deep & automated anomaly detection
Segmentation allows you to deep-dive into your data, enabling precision in anomaly detection at the most granular level. This guarantees that the data you are using won’t be contaminated by hidden issues that impact your business metrics and slowly erode data trust over time.
By combining Rapid Backfilling, Dynamic Thresholds, and Segmentation, we deliver business-ready data. Our comprehensive approach saves you time and provides trustworthy insights for critical decision-making.