Data collection is important but the quality of data for a restaurant enterprise is key to ensuring that it is used in the most productive way. Inaccurate and outdated data can affect overall productivity. When multiple sources of data are getting pulled into one database, duplicate and/or erroneous information can be inevitable.
Data cleansing is the process of finding and correcting flawed information from your restaurant company’s database. The process is mainly used where incorrect, incomplete, or irrelevant details are identified and then modified, swapped or cleared out. Data cleansing is important because it improves the quality of your data and in doing so, increases productivity, while simultaneously doing away with potential expenses, and helping to improve ROI. Managing and ensuring that the data is clean can provide significant business value and making decisions without being able to weigh them against a strong, valid set of data can hurt a restaurant business.