Disclaimer
The data associated visualizations presented on this website is based on anonymized and aggregated dataset collected from 1000+ data sources. While we have taken care to ensure the integrity and accuracy of this dataset, there are several inherent limitations to consider when interpreting information:
1. Sample Size and Data Completeness:
Given the available data in the dataset, it may not fully capture trends or details that require larger or more diverse datasets to achieve statistical significance. Anomalies or unexpected patterns can occur and should be understood in the context of the dataset’s scope and limitations.
2. Data Source and Context:
The dataset is derived from contract records as identified within Professional Services Automation (PSA) systems. This means the data reflects what is represented in contract line items, not necessarily how widely or fully a product or service is deployed in practice.
3. Adoption Metrics:
When referring to product “adoption,” we are specifically indicating the percentage of records in the dataset that list a product as a separate contract line item. For example, if a product or service category product shows a 28% adoption rate, this reflects the percentage of instances where that service explicitly listed that service category as a distinct contract line item. It does not account for cases where it may be deployed but not separately itemized in a contract.
4. Interpreting Anomalies:
Any data anomalies or inconsistencies should be understood as part of the limitations of sampling and aggregation. We encourage users to view this information as a directional guide rather than a precise or exhaustive representation of actual usage patterns.
5. Continuous Improvement:
We are committed to improving the quality, accuracy, and value of this information over time. Our systems are continuously reviewed and enhanced to better account for anomalous data, and we actively encourage user feedback to help identify areas for improvement. Your insights are invaluable in refining our datasets and providing more actionable insights.
By accessing and using this information, you acknowledge these limitations and understand that the data is provided “as is.” We recommend consulting additional sources or performing further analysis if detailed accuracy is critical to your decision-making process.