Data management covers a broad variety of disciplines that use data as an invaluable resource. Data management includes a wide range of disciplines that handle data as an important resource. It also covers the management of how the data is formatted for use within operational and analytical systems.
Effective data management is crucial for success, whether your goal is to optimize the experience of customers across all channels or to provide real-time analytics. Your team can meet its goals through structuring the vast amounts of data that your business generates every day by using the proper tools, processes and strategies.
To organize the data your business relies on to make decisions, start by connecting it to specific business objectives. This will allow you to determine the most pertinent information sets for your business and ensure that the information is accessible to the people who require it.
Having defined business objectives will also help you manage and maintain your data infrastructure. This includes making sure you have enough storage space, implementing backups, and ensuring that all your data is safe.
Some of the most important aspects of data quality are relevance, consistency as well as timeliness, uniqueness and relevance. Relevance refers to whether the data you’re collecting is actually helping your business make decisions that affect growth and profitability. Consistency is about whether the data’s values are the same from one system to system. Uniqueness is the ability to identify duplicate records and eliminate them.