Data Executive

Scale Your Data Strategy with Confidence and Clarity

Bigeye delivers reliable data insights at scale, keeping your data safe and your business on track.

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Bigeye helps us bridge the gap between our data strategy and business goals, ensuring our data assets are reliable, compliant, and driving true value for the company.

Chief Data Officer & Bigeye Customer

Drive Return on Your Data Investments

Seeing the long-term impact of data initiatives is critical. Bigeye helps you track improvements in data reliability over time, providing high-level insights through tools like Scorecards that show how data quality is steadily improving. By automating data quality checks and scaling your efforts efficiently, you can ensure that your data remains consistent, trusted, and ready to support key business decisions.

Problem: Data quality improvements are difficult to measure and track over time.

Solution: Bigeye provides clear, high-level insights into continuous improvements in data reliability, helping you demonstrate progress and ROI.

Problem: Scaling data certification across large organizations is resource-intensive.

Solution: Bigeye automates data quality checks, allowing you to more easily scale certification efforts and ensure consistency across your data ecosystem.

Scale Your Data Strategy with Out-of-the-box Visibility

Scaling your data strategy means navigating the complexities of modernizing infrastructure while maintaining visibility into both legacy and cloud systems. With Bigeye, you can efficiently consolidate your data stack while supporting business-critical operations, allowing your team to drive innovation, implement AI strategies, and leverage real-time insights across all data environments.

Problem: Scaling data operations across modern and legacy systems creates operational complexity.

Solution: Bigeye provides out-of-the-box, unified visibility across your entire data stack, for comprehensive monitoring and control across both modern and legacy environments.

Problem: Consolidating data systems often leads to gaps in visibility and operational risk.

Solution: Bigeye ensures a clear, real-time view of your entire data environment, helping you scale efficiently and reduce operational risks as you modernize.

Data Observability That’s Security-first

When choosing a data observability platform, trust and security are non-negotiables. Bigeye is built to meet critical enterprise-grade security standards, including SOC II and ISO 27001 compliance, ensuring your data is protected at every step. With experience serving some of the world’s largest enterprises, Bigeye understands the complexities of managing data at scale. Our robust monitoring and security measures give you the confidence to focus on delivering business value, knowing that your data is safe, reliable, and always accessible.

Problem: Finding a data partner that understands complex enterprise needs is challenging.

Solution: With a proven track record in supporting large-scale data environments, Bigeye brings the expertise needed to help you scale your data strategy confidently.

Problem: Trusting third-party tools with sensitive data can be risky.

Solution: Bigeye’s SOC II and ISO 27001 compliance ensure a secure environment for your data, meeting the stringent requirements of modern enterprises.

See Bigeye in Action

Get Hands-On with Enterprise-Grade Data Observability

Experience how Bigeye can help drive return on your data investments through clear, dashboard level insights and actionable alerts that improve data quality and trust. 

Try Bigeye’s Interactive Demo for Data Executives  

Get hands-on with our platform and see how it works, all at your own pace.

Find out how Bigeye helps you improve data quality and reliability across your organization with powerful scorecards, dashboards, and ML driven anomaly detection across your entire data environment. 

Take a guided tour through Bigeye's features on your own. Simply enter your email to begin.

See how Bigeye can transform your data strategy. Get a hands-on demo today.

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