If you haven't taken a close look at your articles database lately, you aren't alone.
Between cleaning your inbox, your suppliers database and your articles list, there are lots of physical and digital assets that need to be taken care of and maintained in everyday business.Even for those who devote their career to working with data, renewal isn't necessarily one of the joyous of tasks. A Forbes.com survey found that 57% of data scientists state that cleaning and organizing data is the least enjoyable part of their work.
But you don't have to be working with big data sets to have a need for "clean data." What makes for "clean data," anyway?Do missing or not fully filled article names, missing article translations into local or foreign languages, missing units or list of vendors behind them – sound familiar? All of these can make it almost impossible to build up an efficient Vendor Management system.
In order to understand "clear data", let's start with "bad data". There is rule at BVM: ” Data that fails to help in making decisions is not worth in keeping”.We can use a real-life example to help you better understand what this means. Consider how outdated contacts in your phone prevent you from communicating with someone. Would you wish the same fate to befall the members of your purchasing or warehouse team?