Thought leadership

Day One Dispatch: Gartner Data & Analytics Summit 2026

Four key themes and where to get started.

Thought leadership

Why Data Reliability Needs An Operating Model (Not More Alerts)

Gaurav Rastogi shares a smarter model for scaling data trust.

Product

How Lineage Works: A Bigeye Product Walkthrough

How end-to-end data lineage works within Bigeye.

Product

Introducing: Lineage for Financial Services

Audit-ready lineage for financial services.

Thought leadership

The 5 Reliability Metrics Every CDO Must Improve Quarterly

A quarterly data reliability report card.

Company

Onsites and Remote Life: Swimming Together While We Work Apart

Balancing remote work, distributed teams, and in-person bonding time.

Product

Architecting AI Trust: The Role of Sensitive Data Scanning

Sensitive Data Scanning powers AI-safe access to enterprise data.

Thought leadership

Webinar Recap: Insights from 400+ Enterprise AI Initiatives

A quick recap of our top takeaways.

Thought leadership

Webinar Replay: Insights from 400+ Enterprise AI Initiatives

What the data reveals in 2026.

Product

How Sensitive Data Scanning Works: A Bigeye Product Walkthrough

How and when to use Sensitive Data Scanning in Bigeye.

Thought leadership

Live Keynote: Ensuring Trust Through Governed Agentic AI

A talk from The AI Summit New York on scaling AI safely without slowing innovation.

Thought leadership

Speed vs. Safety: The AI Dilemma Enterprise Leaders Are Facing

Enterprise AI leaders feel trapped between moving fast and staying safe.

Product

Introducing: Bigeye's AI Guardian

The AI Guardian acts as a data access gateway that evaluates every AI request against policies.

Thought leadership

The Data Quality Crisis Killing AI Projects (and Other Hard Truths.)

What BARC's new research uncovered about AI's biggest production challenges.

Product

Introducing: Sensitive Data Scanning

Today, we’re announcing Sensitive Data Scanning capabilities within Bigeye

Product

How We Turn Customer Needs into Product Features

Behind the scenes of working with customers to build their dream features.

Company

Life at Bigeye: Drew Stark, Head of Sales

Meet Drew, Head of Sales at Bigeye.

Product

How Does Bigeye Handle Your Sensitive Data? Our Field CTO Breaks It Down.

A technical breakdown of what data Bigeye stores, which features access raw data, and security configuration options.

Product

Inside Bigeye: How We Use AI to Solve Enterprise Data’s Biggest Problems

Machine learning, patent-pending tech, and automation built for enterprise data.

Thought leadership

Your GPAI Compliance Strategy Has a Vendor-Shaped Hole

How to audit your AI vendors (before they become regulatory nightmares,)

Company

Life at Bigeye: Tyler Jones, Senior Staff Software Engineer

Meet Tyler, Senior Staff Software Engineer at Bigeye.

Thought leadership

The CISO's Guide to Not Getting Blindsided by EU GPAI Rules: Part I, Foundations

If your understanding of EU AI Act compliance stops at "we use OpenAI Enterprise," you're about to have a problem.

Thought leadership

So You Want to Buy a Data Observability Tool– Now What?

You’re ready to buy a data observability tool, but are you aware of these considerations before you do?

Product

How NOV Built Data Confidence Across Eight Data Warehouses with Bigeye

Data observability success in the oil and gas industry.

Thought leadership

In Conversation with EY Park and Rahim Hajee: The 4 Pillars of Enterprise AI Success

A recap of the Toronto roadshow conversation with EY and Rahim.

Product

Monte Carlo vs Bigeye: An In-Depth Feature Comparison

Explore how Monte Carlo and Bigeye stack up across key features and use cases.

Company

Life at Bigeye: Alex Nouhan, Customer Success Engineer

Meet Alex, Bigeye's Customer Success Engineer.

Thought leadership

From Unaware to Operational: The 5 Stages of AI Trust Maturity

Explore the five stages of AI Trust maturity and what it takes to continue advancing.

Product

Bigeye Expands Data Quality Capabilities with Three New Features

Introducing: customizable data quality dimensions, join rules, and asset linking.

Thought leadership

How to Overcome AI Fear in Your Organization

Four strategies to overcome organizational AI anxiety.

Thought leadership

3 Enterprise Leaders on Building AI Agents That Actually Work

Enterprise leaders from Improzo, Frontdoor, and GlobalLogic share their experiences building AI agents.

Thought leadership

5 Hard-Won Lessons from the Frontlines of Enterprise AI Leadership

5 lessons from enterprise leaders who have been in the AI trenches.

Company

Life at Bigeye: Diane Worthington, People and Engagement Manager

Meet Diane, Bigeye's People and Engagement Manager.

Product

Enterprise Software Accessibility: Bigeye’s Approach to Inclusive Data Tool Design

Accessibility is deeply integrated into our development process. Here's how we approach it.

Thought leadership

AI Risk Management: The Gap Nobody Wants to Talk About

If you're not managing AI risk, you're not managing AI: you're chasing hype.

Company

Life at Bigeye: Riley Gercak, Event Marketing Manager

Meet Riley, Bigeye's Event Marketing Manager.

Thought leadership

We're Launching The AI Trust Summit

The AI Trust Summit in 2026 will bring together the leaders solving the biggest AI challenges.

Thought leadership

Understanding Data Profiling: A Foundation for Better Business Intelligence

Learn how data profiling creates a solid foundation for reliable business intelligence and analytics.

Thought leadership

5 Questions to Pressure-Test Your AI Foundation

Five critical questions every data leader should ask to assess where your org is at with AI.

Thought leadership

AI Readiness Audit: The 5 Questions Every Data Leader Should Be Asking | Video Webinar

A practical framework for assessing whether your data is helping (or hurting) your AI strategy.

Thought leadership

Bridging the AI Hype Gap: Real-World Insights From Data Leaders On What It Takes To Succeed

Real talk from data leaders on closing the gap between AI hype and reality.

Product

Introducing Bigeye's AI Trust Platform

Bigeye is building the first AI Trust Platform for agent data usage.

Company

From My Seat: What Makes Bigeye a Great Place to Work

What our People & Engagement Manager sees behind the “Great Place to Work” badge.

Product

How Enterprise Data Teams Stay Ahead of Issues with Bigeye

A 20-minute walkthrough showing how Bigeye helps data teams succeed.

Company

Introducing Bigeye’s Matillion Connector

One of the world’s largest industrial tech companies needed Matillion lineage. So we built it.

Company

Bigeye is Great Place to Work-Certified™

Bigeye is now officially Great Place to Work-Certified™

Product

Introducing Bigeye’s Azure Data Factory Connector

Bigeye now integrates with Azure Data Factory.

Product

bigAI Is Now Generally Available

bigAI uses generative AI to do what most observability tools can’t.

Before You Build a Data Observability Tool, Read This

You know you need observability, but the next big question is: should you build your own?

Thought leadership

SLAs: Not Just for Software Engineers Anymore

SLAs have left the software engineering chat (and joined the data team.)

Thought leadership

Get AI Ready with Governance & Data Observability

A real look at how enterprise organizations use observability and governance to scale data trust.

Thought leadership

AI for Data Observability: Designing for Privacy, Access, and Risk

AI observability introduces new risks, here’s what you should know.

Thought leadership

AI is Reshaping CDO Leadership: What You Need to Know

This recap breaks down what CDOs need to know to stay ahead.

Product

Data Leaders Are Tired of Firefighting—Here’s How AI Can Help

We built bigAI to assist incident responders to rapidly understand data issues and fix them faster.

Company

Our 2025 Data Observability Trends and Predictions

Based on industry movements and customer conversations, here’s what we expect in the year ahead.

Thought leadership

Data Leaders’ 2025 Toolkit: Must-Have Observability Resources

With the complexity of enterprise data pipelines, ensuring trust in data is crucial. But where do you start?

Product

Achieving Data Transparency at Scale: Freedom Mortgage’s Success with Bigeye

We spoke with Eric Chesebro, executive vice president of data governance at Freedom Mortgage, to discuss how they’ve transformed their data governance strategy using Bigeye.

Company

Transforming Data Governance at Scale: Freedom Mortgage's Journey with Bigeye

In this video case study, see how Bigeye empowers Freedom Mortgage to achieve data transparency and efficiency at scale.

Thought leadership

Data Observability vs. Data Quality: Key Differences

Discover the critical roles of and key differences between data observability and data quality.

Engineering

How To Evaluate Data Observability Platforms (With Downloadable)

So you’re considering a data observability platform, but want to make sure you’re choosing the best one for your business. We’ve got some tips to help you run a thorough evaluation process.

Thought leadership

What is Data Quality Testing?

Discover what data quality testing is, why it matters, and techniques to ensure your data is accurate, consistent, and reliable.

Company

The Next Chapter for Bigeye: Realigning Our Leadership Team for the Future

Moving into the role of Chief Product Officer is a chance for me to focus entirely on what I’m most passionate about: solving our customer’s most critical problems with unmatched technology and design.

Product

Introducing Bigeye’s Looker Connector: Lineage-Enabled Observability for Looker Workflows

Tracking lineage in BI tools can often be a complex and manual process. The Looker Connector changes that.

Thought leadership

To Succeed In 2025, Data Engineers Need to Become More Lazy | The Jam Session feat. Kyle Kirwan

What does it mean for data engineers to "be lazy"? It’s about working smarter, not harder. Industry leaders—including Bigeye CPO Kyle Kirwan—discuss live.

Product

Introducing Bigeye’s New Lineage-Enabled Workflows: Helping You Resolve Data Incidents Faster

Powered by Bigeye’s lineage graph, these workflows use downstream impact to prioritize issues, helping data engineering teams focus on what matters most.

Thought leadership

Only 28% of Organizations Trust Their Data: How Data Observability is Transforming Enterprise Reliability

Only 28% of organizations trust their data—here’s why two-thirds of enterprises are turning to automated observability to change that.

Thought leadership

The Future of Data Observability: Trends and Predictions for 2025 | Webinar

Thought leadership

What is Data Reliability?

Explore the essentials of data reliability and why it matters to enterprise organizations.

Thought leadership

A Quick Guide to Data Observability Tools: Finding the Best Fit for Reliable Data

Looking to improve data quality and reliability? This quick guide explores top data observability tools, from specialized solutions to built-in features, helping you find the best fit for monitoring and optimizing your data pipelines. Discover the tools that can elevate your data observability strategy.

Thought leadership

How to Measure the ROI of Your Data Observability Platform: Five Key Metrics

If you’ve made the investment in data observability, the next challenge is figuring out how to measure whether it’s actually working.

Thought leadership

The Four Pillars of Data Observability

Discover the core pillars of data observability and how they provide the essential insights needed to monitor, manage, and improve data health.

Product

Introducing Bigeye’s SSIS Connector: Bringing Data Observability to SSIS Workloads

Discover how Bigeye’s SSIS Connector brings data observability to SSIS packages.

Company

USAA Backs Bigeye with $5M Investment

This investment underscores USAA’s confidence in Bigeye's vision to enhance data quality and reliability.

Thought leadership

From Data Analyst To Founder | Bigeye Co-Founder Kyle Kirwan on Leadership in Tech

Bigeye Co-Founder Kyle Kirwan speaks on his journey from Uber's data team to build a leading data observability platform

Thought leadership

Monitoring vs. Lineage: Why You Need Both For Data Observability Success

Why can't I just pick monitoring or lineage for my data strategy? Isn’t one enough?

Product

Announcing Bigeye Scorecards

Scorecards offer a high-level overview of your data’s health by data quality category, with the added benefit of historical data.

Thought leadership

Standalone vs. Embedded Tools for Data Observability: Choosing the Right Approach

Both approaches offer unique benefits and challenges, impacting everything from implementation speed to long-term scalability. 

Company

Bigeye Named as a Representative Vendor in Gartner® Market Guide for Data Observability Tools

We're excited to announce that Bigeye has been recognized as a Representative Vendor in the Gartner Market Guide for Data Observability Tools.

Company

Announcing Bigeye's New Systems Integrator Partner Program

We’re excited to announce the launch of our new Systems Integrator Partner Program.

Thought leadership

Conference Recap: Key Trends from Snowflake and Databricks

A recap of key trends from the 2024 SnowBricks conference season.

Company

Announcing End-to-End Enterprise Lineage for Hybrid Data Environments

Column-level lineage support for ETL platforms, from legacy to Snowflake.

Company

Bigeye Achieves ISO 27001 Certification for Information Security

Bigeye earns ISO 27001 certification, reinforcing our commitment to top-tier data security for enterprises.

Thought leadership

Your Guide to Data Quality Metrics

Not all data is created equal.

Thought leadership

Top 3 Takeaways from the Gartner UK Data and Analytics Summit

The Gartner UK Data and Analytics Summit provided valuable insights into the current and future landscape of data and analytics.

Product

Keeping Tableau Dashboards Reliable with Bigeye

Reliable Tableau dashboards are essential for business users to make data-informed decisions.

Company

Announcing Bigeye's New FinOps Capabilities

Bigeye's new FinOps features can transform your data warehouse cost management.

Meet Bigeye’s New VPs: How Stewart Plumb and Tony Peck are Shaping Bigeye’s Future

Our new executive appointments, Stewart Plumb and Tony Peck, are set to transform Bigeye’s approach to data observability and customer success.

Product

Ensuring Reliable Analytics with Bigeye Dependency Driven Monitoring | Webinar Replay

Catch the replay to learn how Bigeye Dependency Driven Monitoring helps data teams!

What is Data Quality?

Data quality is more than just a trend —it's a critical factor that can make or break organizations.

Product

Announcing Bigeye Lineage Plus

Massive, complex, hybrid enterprise data environments have never looked so good.

Product

Announcing Bigeye Dependency Driven Monitoring

Optimized monitoring for every column that matters, and none that don't.

Thought leadership

Building Strong Relationships with Business Stakeholders | Webinar (Featuring Nik Acheson)

Join Egor and Nik in this insightful webinar as they delve into the importance of fostering strong relationships with business stakeholders in the realm of data leadership.

Product

How Zoom Prevents Three Outages A Month With Bigeye

By adopting Bigeye, Zoom has transformed its data operations, moving from reactive problem-solving to proactive data quality assurance.

Thought leadership

Data as a Value Center | Podcast (Featuring Katie Bauer)

Dive into the world of data team transformation in our latest podcast episode!

Thought leadership

Complete guide to understanding data observability in 2024

This is your one-stop shop for all things data observability. Learn what data observability is, who it’s for and who uses it, how it benefits organizations, how it works, key terms, use cases, and best practices.

Thought leadership

Three Essential Trends For Data Leaders in 2024: LLMs, Verticalization, and Consolidation

As we step into 2024, the data and analytics landscape continues to evolve, presenting data leaders new opportunities as well as new challenges.

Thought leadership

Building Strong Relationships with Business Stakeholders: A Data Leaders Guide

Data leaders can no longer focus only on the data itself, they must also build strong relationships with business stakeholders.

Thought leadership

Transforming Your Data Team: From Cost Center to Value Center

Data teams have often been perceived as cost centers, but does it have to be that way? We don't think so.

Thought leadership

Data Leadership 101: Tips and Tricks for New Leaders

For new leaders who were recently promoted or offered a new role, suddenly being responsible for the success of an entire team can be daunting.

Thought leadership

Navigating A Non-Modern Data Stack: Achieving Analytics Reliability and Data Observability

Unless you're a young startup, your data infrastructure is unlikely to be purely a modern data stack. So, how do you work with what you've got?