Alchemize is a data migration tool that is designed to greatly improve resources and results for the IT staff for data projects. These projects may be a one-time need for data migration or archiving, or one that requires constant data governance. Alchemize provides great value for both types. The unique Alchemize abilities to automate data mapping, scripting and data transformation are the secret to its proven results for reducing the time and risks of data projects. This automated process results in a significant reduction in the demand on IT resources and IT budgets enjoy the same benefits.
The videos below will guide you through the four phases of a typical data migration project completed using Alchemize. They will help explain and demonstrate how the system can accomplish the process so efficiently. The phases we will use for the process are:
- Initiate Alchemizer and Interrogate the System
- System Mapping and Rulesets
- ETL (Extract, Transform and Load) Monitoring in Real Time
DATA MIGRATION PRE-CONFIGURATION
- Automates most manual processes
- Manage data at multiple phases throughout the project lifecycle
- Replace Excel-based data mapping processes
- Reduce the demand on IT resources and cost
- Simplify, standardize and reduce the time and risks involved in data projects
INITIATE ALCHEMIZER – INTERROGATE
These associations also enable Alchemize to be used in many types of data projects: archiving, data migration, data governance, system updates and more.
SYSTEM MAPPING AND RULE SETS
The automated system mapping and establishment of reusable rulesets by Alchemize takes only a fraction of the time of these manual processes. The rulesets also can be used again and again for continuous and automated data governance.
ETL MONITORING IN REAL TIME
Alchemize capabilities of automated intelligence, data mapping and processing, combined with the establishment of reusable rulesets, make Alchmize a vital component of any data project.
Data owners will dramatically increase their accuracy, efficiency and speed in completing their data projects using Alchemize.