In the rush to implement AI solutions, many organizations don’t realize that even the best AI models will fail if they’re fed poor quality data. It’s the difference between AI that transforms your business and AI that actively misleads it.
As AI adoption accelerates across the Salesforce ecosystem and beyond, there’s a critical gap between AI ambitions and the state of a lot of companies’ data. That’s why Trifecta has developed a comprehensive data assessment offering specifically designed to prepare your data for successful AI implementations.
AI models learn from patterns in your data. When that data is incomplete, inconsistent, or inaccurate, the AI will not function correctly. It’s the classic garbage in, garbage out phenomenon. A customer service AI agent trained on outdated knowledge articles will mislead customers. A predictive sales model built on duplicate records will not provide an accurate forecast. The quality of your data directly determines the quality of your AI outcomes.
Six Dimensions of AI-Ready Data
Trifecta’s data assessment evaluates your data across six distinct dimensions that directly impact AI performance.
- Completeness – Is all necessary data available? AI models need full context to make accurate predictions. Missing data creates blind spots that lead to incorrect outputs. When key fields are empty, AI can’t learn the patterns that matter most.
- Uniqueness – Are records distinct? When models train on duplicates, they overweight certain patterns, and your predictions will not be accurate.
- Consistency – Is the data uniform across different systems? When the same information is formatted differently across systems, AI can struggle to recognize patterns. If your Salesforce instance has a field called “Customer Start Date” while your ERP uses “account_creation_date”, AI may treat these as unrelated data points.
- Timeliness – Is the data up to date and available when needed? AI trained on stale data produces outdated insights. Knowledge bases that haven’t been updated in years lead to AI providing incorrect information. Regularly updated data ensures your AI solutions remain relevant.
- Validity – Does the data conform to standards and rules? Data that doesn’t conform to business rules or standards causes AI models to learn incorrect patterns. This can lead to a bevy of operational errors.
- Accuracy – Does the data correctly represent its real-world or reference entities? If your data doesn’t correctly represent reality, neither will your AI.
Trifecta’s Approach
Unlike competitors who focus solely on Salesforce or offer generic one-click health checks, our assessment is purpose-built for AI readiness.
- Use Case-Driven Analysis – We don’t analyze all your data. Instead, we focus specifically on the datasets that will power your AI initiatives. If you’re building a customer service AI agent, we assess your knowledge base and case data, not necessarily your opportunity history. This targeted approach ensures every finding directly impacts your AI success and will help you to get up and running quickly.
- Multi-System Coverage – While other partners stop at Salesforce, we can assess data across your entire ecosystem using tools that are not dependent on Salesforce. AI doesn’t respect system boundaries, and neither should your data assessment.
- Actionable Roadmap – Our assessment doesn’t just identify problems. It also provides clear remediation steps prioritized by business impact.
- Built-in Scalability – You can go with a one-time assessment, but we can also help you get set up to integrate real-time data and schema monitoring into your data pipelines, so that your data quality is guaranteed to remain high.
How You Can Get Started
Our discovery process begins by understanding your specific AI use cases and business objectives. We map out the data requirements, run automated scans looking at the six dimensions of data quality, and present it all to you in a detailed report. From there we can
work with you further to plan and make improvements or you can run with it on your own if you choose to do so.
The result is that you’ll know the state of your organizations’ key data points and be ready to successfully start your AI initiatives. Contact us to get started!
