Our Process
We use a high-touch, collaborative process to ensure your data is clean, accurate, and ready for deployment.
Step 1: Discovery and Review
- Dedicated Analyst: A dedicated Lead Data Analyst is assigned to the project.
- Initial Review: We conduct an initial call to review all data sources, the project timeline, and goals.
- Data Analysis: The analyst reviews the data’s condition, looking for typos, overlapping IP blocks, and other inconsistencies.
Step 2: Data Consolidation and Centralization
- Data Merging: We gather and merge all data sources, including spreadsheets, databases, router configurations, and text files.
- Problem Highlighting: Problematic records are highlighted for review, making it easy to focus on what needs attention.
Step 3: Verification and Import
- Secure Verification: The cleaned and normalized data is imported into our secure and private instance for verification.
- Real-Time Access: We provide unlimited user access to view and work with the data in real-time to ensure confidence in its accuracy.
Step 4: Deployment or Export
- Flexible Delivery: We deliver cleaned data in CSV format for download or enable you to manage it directly within the private instance we’ve created.
- Seamless Transition: We can optionally import your hosted instance data into the private instance for a seamless transition.