Enhance your AI predictions by preparing your data for optimal AI performance.
Use case
You are strategizing to harness AI capabilities and aiming for a successful deployment.
Structure on offering
Two weeks including workshops and analysis plus one week of producing outputs that can be leveraged to enhance data quality.
Description
Use AI effectively by getting your historical data in order. Past behavior remains the most reliable predictor of future actions.
Maximize the value of your AI investment by implementing thorough data maintenance practices to guarantee the ongoing integrity and quality of your data.
Output and what we will assess
- User stories to navigate the process of cleaning your existing data and maintaining its cleanliness, ensuring it is ready for AI integration.
- Data maintenance such as field metadata completeness, duplicate management, quality control, Data Quality Analysis Dashboards and Optimizer.
- Data cleaning processes such as removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data and removing data.
- Data enhancement processes such as fixing or validating incorrect, corrupted, incorrectly formatted, or incomplete data.
