The provision and use of data is a matter of course for data-driven companies. Data Governance ensures that data is used securely and openly at the same time. It creates the organisational framework for handling data, structures roles and responsibilities and thus supports the use of data in the company - and at the same time sets rules for handling data.
Data governance as an enabler of digital transformation
Data Governance can be a successful management framework if it includes the strategy and organisation for dealing with data as well as the necessary roles, processes and tools and metadata management.
Why do I need Data Governance? Your benefits at a glance
The data catalogue as the basis for your benefits
The data catalogue forms the basis for a successful Data Governance initiative. This is where the knowledge about the data, its origin and use, its technical content and the responsibilities for origin and use come together. With this metadata, your company gains additional support in the evaluation and use of your data.
Data quality: Tools and concepts for your data quality management
Besides metadata management, data quality management is the second immediately beneficial product of the Data Governance initiative. The role and organisational models of Data Governance, e.g. with the data stewardship concept, ideally support the management and operational implementation of data quality. Optimally implemented, the data catalogue and data quality monitoring interlock and ensure transparency and excellent data quality management (DQM).
Big Data systems and Data Governance - a contradiction?
To organise the quality and life cycle of data, you depend on professional metadata management. Data protection can hardly be guaranteed without defined responsibilities. The provision of your metadata determines the efficiency of the work of data scientists, but also the acceptance of your users.
Big Data systems are supposed to provide you with the desired information agilely and quickly. At first glance, data governance seems like an irreconcilable contradiction to this goal. In fact, Data Governance and Big Data systems complement each other perfectly: a data catalogue with information about your data and with good data quality dramatically increases the speed of data-driven tasks and projects.
Agile Data Governance Initiative
In b.telligent's Data Governance pilot project, you will turn your prototypical data catalogue into the minimal viable product (MVP) of the Data Governance initiative and include all fields of action in the project. The creation of the data catalogue thus becomes a reality check for all fields of action of the initiative. In a short time, you will gain indispensable insights into the opportunities and procedures, but also into the intelligent limits of a Data Governance initiative in your company and lay the foundation for the agile introduction of Data Governance.