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Are you prepared for the AI era? Let us assess your data consistency and synchronisation!
As data lifecycles become more intricate, Datagusto ensures effective and accurate data for AI systems, eliminating inconsistencies and preventing costly failures.
and many more
Charting Your Data Landscape
Imagine your data as a vast territory. Our AI processes raw values and SQL queries from each system to create a detailed data catalogue, mapping out the various regions of your data environment.
Navigating Data Connections
Just like understanding how different locations are connected, we analyse pipeline code and the data dictionary to reveal data lineage. This helps you navigate the paths between your data points and understand how they interact.
Travelling with Confidence
As you embark on your data journey, Datagusto ensures a smooth ride. We continuously monitor for inconsistencies, alerting you to changes and maintaining data integrity across your architecture, so you can travel confidently without disruptions.
A financial services company relies on data from an external data source to train and update its ML models. Recently, changes in the data quality went unnoticed, leading to degraded model performance and unreliable decisions.
Here’s how the situation looks from different roles.
Without Datagusto
The CDO constantly monitors Slack channels, checking updates and status reports from engineers. When data from the external data source changes unexpectedly, issues are only discovered after model performance drops. Even after engineers address the problem, there's lingering uncertainty about data accuracy and potential impacts on executive reports. Recovery from such issues incurs high costs and time.
With Datagusto
The CDO receives instant alerts about changes in data quality directly from Datagusto. The impact on key metrics is clear, enabling quick action to prevent further disruptions. Recovery is faster, with reduced costs and more time for strategic priorities.
Without Datagusto
The ML engineer manually checks each data update from the external data source, a tedious and time-consuming process. Data quality changes are often missed, resulting in degraded model performance. Fixing the issue requires manual validation, delaying projects and creating frustration.
With Datagusto
The ML engineer gets automated alerts when data changes, with insights into what’s different. Inconsistencies are quickly identified and resolved, reducing manual work. Data quality issues are addressed before they impact models, allowing the focus to shift to optimisation.
Imagine having a complete, unified view of your data systems without lifting a finger. Datagusto intelligently matches source to target systems, giving you seamless integration and management across your data lifecycle. It doesn’t just map your pipelines—it actively identifies hidden issues, such as silent failures, and ensures consistency across systems. Say goodbye to guesswork and hours of manual tracking—Datagusto delivers everything in one clear, actionable view.
Manually hunting for inconsistencies and silent failures can be a time-consuming headache. Datagusto takes care of this for you by automatically identifying, flagging, and resolving both visible mismatches and unseen issues that quietly disrupt your pipelines. With real-time alerts, you can address problems before they spiral into costly errors. Datagusto ensures data integrity at every step, giving you peace of mind and saving you from hidden surprises.
Say goodbye to outdated documentation and endless searches. Datagusto automatically updates and organises your data system catalog, keeping it accurate and accessible. It ensures your catalog reflects the current state of your systems, giving you a clear, comprehensive view of your data landscape. You’ll spend less time digging through disconnected tools and more time confidently leveraging reliable data for AI-driven insights.
Are you prepared for the AI era? Let us assess your data consistency and synchronisation!