Company
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May 13, 2024

Announcing Bigeye's New FinOps Capabilities

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

Kyle Kirwan

We're excited to introduce our new FinOps capabilities at Bigeye.

These innovative features, announced today at the Gartner Data & Analytics Summit in London, equip businesses with advanced tools to manage their data warehouse expenses effectively.

For the first time, users can leverage Bigeye's industry-leading anomaly detection and actionable insights to closely monitor and control their cloud data warehouse spending. The integration of cost monitoring with our renowned data quality monitoring enables businesses to clearly see and manage where their money is being invested in data warehousing.

"Our new FinOps capabilities empower our customers to understand their spending patterns, manage the cost of operating their data platform, and get near-real time detection of anomalies in their resource usage," said Kyle Kirwan, CEO of Bigeye.

"We’re now able to give them pre-packaged monitoring and alerting on resource usage and cost metrics for their cloud data warehouse, while preserving the high level of flexibility and customization that our enterprise customers have stressed is so important to them."

These tools include pre-packaged monitoring and alerting features for resource usage and cost metrics, tailored to fit the diverse needs of enterprise customers.

What sets Bigeye apart is its seamless integration into existing data ecosystems. Users won’t need to juggle additional dashboards or wrestle with complex integration tools. Everything they need comes packaged in one intuitive platform, providing deep insights into the actual costs of running data pipelines.

Bigeye is also expanding its support for European customers by launching hosting services for its platform in the EMEA region. Eleanor Treharne-Jones, COO of Bigeye, shared at the conference, “This expansion is in response to the growing demand we’ve seen this year and underscores Bigeye's commitment to enhancing service delivery and support for our global user base”.

With these enhancements, Bigeye continues to streamline the way businesses manage their data environments, making it easier than ever to control costs and optimize operations. Whether you're a current user or considering Bigeye for your data observability needs, these new capabilities are worth exploring.

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Resource
Monthly cost ($)
Number of resources
Time (months)
Total cost ($)
Software/Data engineer
$15,000
3
12
$540,000
Data analyst
$12,000
2
6
$144,000
Business analyst
$10,000
1
3
$30,000
Data/product manager
$20,000
2
6
$240,000
Total cost
$954,000
Role
Goals
Common needs
Data engineers
Overall data flow. Data is fresh and operating at full volume. Jobs are always running, so data outages don't impact downstream systems.
Freshness + volume
Monitoring
Schema change detection
Lineage monitoring
Data scientists
Specific datasets in great detail. Looking for outliers, duplication, and other—sometimes subtle—issues that could affect their analysis or machine learning models.
Freshness monitoringCompleteness monitoringDuplicate detectionOutlier detectionDistribution shift detectionDimensional slicing and dicing
Analytics engineers
Rapidly testing the changes they’re making within the data model. Move fast and not break things—without spending hours writing tons of pipeline tests.
Lineage monitoringETL blue/green testing
Business intelligence analysts
The business impact of data. Understand where they should spend their time digging in, and when they have a red herring caused by a data pipeline problem.
Integration with analytics toolsAnomaly detectionCustom business metricsDimensional slicing and dicing
Other stakeholders
Data reliability. Customers and stakeholders don’t want data issues to bog them down, delay deadlines, or provide inaccurate information.
Integration with analytics toolsReporting and insights

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