module-01-business-problem

To define business problems for entity resolution projects, use a structured discovery process to identify data sources, record types, and success criteria before technical implementation begins. This ensures alignment with data engineering goals.

Scoping data sources for an entity resolution roadmap requires documenting record types, integration requirements, and business goals. A guided discovery process generates formal architecture documentation to align analytics teams.

Yes, you can generate realistic entity resolution scenarios without your own data. A guided path creates synthetic data architectures and business problem statements for initial project planning and bootcamp exercises.

Structured project documentation is required before implementing entity resolution. Establishing a formal business problem statement and data architecture ensures data engineering teams align with success criteria and integration requirements.

A business analysis module fits into a Senzing bootcamp by guiding users through the critical initial phase, ensuring a documented business problem and success criteria are established before entity resolution technical implementation begins.