Business

Larger businesses handle data across multiple systems, each built to serve distinct business functions. While basic data preprocessing focuses on cleaning and standardization, core business systems reality reveal deeper challenges that technical solutions alone cannot solve. Key takeaways: Using data preprocessing as a downstream replacement for data quality and standardization is asking for problems. Cleaning […]

Data mapping, understood as mapping records and fields between systems is not an easy task. It’s way more than that. This process accompanies post-M&A integration in acquisition-heavy industries as well as reconciliation of data between regional business entities (e.g. independently functioning plants), or third-party sources of data (vendors, suppliers, etc.). It will also be a common

Entity resolution fundamentally transforms how organizations handle data matching and standardization. Manual processes and rule-based systems fail to address real-world complexity the more so, the larger the scale. Machine Learning enables automated, adaptive matching that grows more accurate over time. While technology is a part of the equation, you should understand how central to the