For data warehouses, data marts, and other analytical applications to give the maximum return on your investment, you must first understand your data needs. A comprehensive storage catalog will support data extraction of current and historical data. This helps you and your business develop extract, clean, transform, and load (ECTL) information processes efficiently and effectively.

Extract, Clean, Transform, and Load

Our information architects work with you every step of the way to ensure you understand the critical data needed for an application or business process. We do everything we can to understand your business’s unique needs as well as the consistency and validity of data. Once established, the ECTL process is ready for design and implementation. This is how the process typically works:

  1. Extract data from the source system and make it accessible for further processing. The “Extract” step’s goal is to access source data as quickly and efficiently as possible.
  2. Clean the data to ensure quality. The “Clean” step makes sure the data is subject to basic unification rules, like making identifiers unique and implementing third-party resource validation.
  3. Transform the data from the source to the target. The “Transform” step converts measured data to common dimensions. This enables data to have various processes worked on it later.
  4. Load the data to make sure there are no snags in the loading process. The ‘“Load” step also maintains the data’s integrity (accuracy and trustworthiness of the information) through ETL processes and tools, keeping it consistent.

Businesses in today’s day and age are handling more data than they ever have, so it makes sense to start seriously thinking about information management. Learn more about information management and how netlogx can help your organization. Request a consultation to get started.