How do we set about improving the quality of data governance within an organization? What are the priorities? Data Governance is generally considered to mean providing clear roles, responsibilities, policies, principles, and organizational structures that can ensure that data is managed well, in a way that benefits the whole organization. Where do you start? Read more
Every organization must perform data governance. This requires planning, oversight, and control over the management, security, resilience and quality of data and over the use of data by the organization. In larger organizations, it can be a complex task. William Brewer explains what's involved. Read more
A data catalog allows an organization to discover and record the facts about its data, where that data is held and how it used. William Brewer explains the details. Read more
William Brewer explains how to make data governance a continuous organizational activity, based on well-established standards and practices, rather than a knee-jerk response, and which skills and tools will help you achieve compliance, including SQL Data Catalog for discovery and classification of data held in SQL Server. Read more
In the event of a breach of personal data, any organization must produce proof that they understand what data they hold and where, and how it is being used, and that they have enforced the required standards for access control and security. To make all this possible, it is essential to build a complete model of the data and its lineage, and a data catalog is the first step in this process. Read more
Nowadays, it isn’t just banks and multinational corporations who have to be rigorous about data. Even modest organisations who would previously been unable to afford the storage, tooling and processing power required, now have sophisticated data processing capabilities within their reach. Like the superhero of the comics, with such power comes responsibility; companies soon reach Read more