Simply put, data cleaning or data cleaning is an art of standardizing a data set, be it inventory or vendor lists or employee listing, etc. Data Cleaning also goes by several other names such as inventory rationalization, de-duplication, data cataloging, data standardization, data normalization, etc.
Some of these like rationalization or de-duplication are benefits of data cleaning while others such as cataloging or normalization are synonyms to data cleaning depending on the nature of data being cleaned. When an organization is cleaning their inventory, it will be more often referred to as a data cataloging project. Data sets such as inventory, vendor lists, employee lists, etc. are also called as master data and management of this is referred to as Master Data Management.
Codasol is in business to help our customers significantly decrease their indirect material spending using methods that provide tangible return on investment (ROI). Our solution is comprised of processes, data, services, and technologies backed by the most knowledgeable and proficient consultants in the industry. Our clients span several industries and have operations around the globe. Our services around data are nearly endless – but all our projects are aligned with our clients’ business sponsors to make sure that it isn’t just a parsing and correcting exercise. Knowing the purpose and rules, the outcomes for where data fits – is how Codasol helps empower successful companies with high integrity data