Creating Effective Data Management Processes

The avalanche of data that engulf businesses require effective management strategies to capture data, process, and use them to create value. Businesses can get drowned in useless data without a sound strategy and miss out on opportunities to increase efficiency and make better choices.

Data management is broad term that covers many different disciplines. It covers everything from data collection and storage, to ensuring accuracy, and establishing guidelines on how data should be used. Here are some tips for establishing a solid system of processes to handle your business’s data:

Establishing the roles and responsibilities

It is crucial to ensure that everyone understands their responsibilities. Assigning a group to capture certain data types, for example could help to avoid the inadvertent deletion of duplicate data, or missing data. Additionally, establishing guidelines for nomenclature is a crucial element of establishing standards for data.

Processing and analyzing data

The massive amount of structured and non-structured data that businesses generate has led to the development of new databases, advanced processing techniques and cloud-based storage solutions. These technologies allow data teams to extract insights faster, but it’s vital to have the proper analytics capabilities to make the most of these valuable resources.

Your data environment needs be constantly updated and expanded in line with the demands of your organization. Maintaining these changes can be a challenge but tools such as DataOps (a model of collaboration inspired by DevOps) can help you automate processes and streamline communication between your teams working on data and the end users to reduce delivery times and ensure your data is always up-to date.