Data Cleansing Steps You MUST Follow for Better Data Health
According to a survey, data will increase tenfold by 2020. So it's no surprise that many organizations are struggling with data health. This article outlines the essential data cleansing steps to reduce the risks of bad data. Your team could be spending as much as sixty per cent of their time on doing anything but developing new features or products because they're so focused on dealing with your companies garbage code and bad database schemas! As more junk gets pumped into your database, developers find that traditional – and often very manual – database cleansing techniques are no longer up to the task. The problem becomes harder when non-developers, who don't have the requisite tools or skills, try to work with bad data or clean it up themselves. So here are five key database cleansing steps you should follow for better data health. Standardize Your Data As your business grows, manual data entry tasks become prohibitively expensive. There's no scalability i...