Data Management
Data management is a key component in making data available to the business and shortening the time needed to find and use data. Data management involves identifying available data sources and making them accessible. The result is the availability of relevant data that can be used in data-driven decision-making models to make decisions and improve efficiency.
Data Management
Data is an increasingly important business asset, used to make informed decisions, improve marketing campaigns, optimise operations, reduce costs and more. Data management has become an integral part of extracting business value from data.
Companies collect a huge amount of data, and data is increasingly coming from sources such as sensors, system transactions or customers. The data is stored in various unrelated databases, leading to missed potential that needs to be managed. Sometimes companies decide to use a data lake to store large amounts of data from different sources, to enable advanced analytics using machine learning or predictive modelling.
Data management is critical to make data available for business use, and to manage security, regulations and legislation covering data integrity and protection, such as GDPR.
What You Get
Data management is the process of turning data into a valuable business asset. Data needs to be managed effectively and covers everything from data structures, databases, security, integrity and how to clean and prepare data for use in a structured way.
- Automated data pipelines
- Accessible and structured data for further analysis
- Mapping the data assets and data need in the organization
- Impact analysis of relevant legislation such as GDPR