Win with accurate data
Ensure that you’re using accurate usage data when deciding where to invest in your product’s future.
Technology Vertical Webpage
Monte Carlo for Technology
Use reliable data to run internal analytics and develop products more quickly and efficiently.
Leading data teams in technology choose Monte Carlo
Learn how Prefect, a leader in dataflow automation software, saved 50% of engineering time with Monte Carlo
Benefits
50%
engineering time saved in triage and resolution of data quality issues
16X
faster implementation time compared to building an in-house solution
“It’s really easy for us to propose and make big changes upstream in the data warehouse and know exactly what is going to be impacted by the change. We’re able to explore specific fields and how they move through our data transformation steps—and to see what dashboards are going to be impacted and where they’re going to end up.”
Data Stack
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Lean two-person data team
-
Lack of understanding where data quality issues were across their entire stack
-
Significant time spent troubleshooting existing issues
-
Field-level lineage to show data flows and incidents between related objects
-
Integration with Slack to route incidents to the affected stakeholders
-
Automated data quality issues discovery across their entire data stack without requiring domain knowledge
Benefits
50%
engineering time saved in triage and resolution of data quality issues
16X
faster implementation time compared to building an in-house solution
-
Lean two-person data team
-
Lack of understanding where data quality issues were across their entire stack
-
Significant time spent troubleshooting existing issues
-
Field-level lineage to show data flows and incidents between related objects
-
Integration with Slack to route incidents to the affected stakeholders
-
Automated data quality issues discovery across their entire data stack without requiring domain knowledge
Data Stack
“It’s really easy for us to propose and make big changes upstream in the data warehouse and know exactly what is going to be impacted by the change. We’re able to explore specific fields and how they move through our data transformation steps—and to see what dashboards are going to be impacted and where they’re going to end up.”
Use cases for SaaS
Tailor the user journey
Use high quality data to create high quality feature recommendations for current users.
Attract and retain customers
Reliably report on product metrics, segmented by accounts, to understand potential areas of customer growth and churn.
Data observability is the first step before any data incident management steps, including incident response and escalation, can happen.
Use cases for hardware + networking
Improve ROI on Research
With lengthy and costly development cycles for hardware products, ensure that data stemming from your testing platforms is always within acceptable thresholds.
Solve HARDware problems
Identify whether gaps in manufacturing and inventory numbers are truly business issues or actually data issues.
Consolidate Field and Cloud
Use information from your devices in the field to proactively maintain or replace faulty hardware for a seamless production experience.
Learn more about our product
Detect
Find the data quality blockers across your entire stack that are preventing you from being fully confident in your product build decisions.
Resolve
Save time finding and fixing data issues across all of your product tracking objects
Prevent
As one of the fastest evolving industries, your data strategy is always changing – use our recommendations to mitigate future data disasters
