Data needs to be efficiently structured and stored so that it includes all the information needed for decision making, without duplication and loss of integrity. Here are top 10 qualities of good data.
Data should be:
1. Accurate: Data should retain consistent values across data stores, users and applications. This is the most important aspect of data. Any use of inaccurate or corrupted data to do any analysis is known as the garbage-in-garbage-out (GIGO) condition.
2. Persistent: Data should be available for all times, now and later. It should thus be nonvolatile, stored and managed for later access.
3. Available: Data should be made available to authorized users, when, where, and how they want to access ...