Database management systems and query engines may seem to be suited for analytics. However, it is important to understand the technical and business requirements for the solution before choosing. Introduction As we travel through life, we are constantly assessing our
There are many parallels between America’s favorite pastime and data governance, since both are governed by rules, require action, and need excellent communication. Introduction While peanuts and cracker jacks may not be readily available in data governance meetings, and you
Continuing Professional Development is important in every data management person’s career, since it enables life-long learning, offers opportunities for growth in skills and knowledge, and contributes to personal satisfaction. Introduction In any profession, the term professional development may be used
Every organization needs a set of roles that are responsible for managing the quality of the data and metadata that are used in the enterprise’s operations and analytics. These roles are the “data quality heroes.” Introduction Data management entails the
The concept of enterprise information management includes all the disciplines that allow an organization to manage data and information as assets for a variety of purposes. Introduction Enterprise information management is one of the hottest topics in information technology (IT)
Project risk assessment and management are important project management activities. All project managers should assess risk for every project and manage it appropriately. Introduction Risk assessment is often one of the most neglected yet most important areas of project management
Ethical challenges to data usage can arise from many sources, including “inappropriate curiosity.” All organizations should enforce good ethical data management behaviors. Introduction Early reports have been disheartening. Several contractors for the Federal Government Department of State have been disciplined
A shift in technologies will expand traditional methods of data generation, data storage, and data analysis capabilities that will reduce friction and costs, while streamlining processes in many data-intensive industries like insurance. Introduction Part One of this series presented topics
Every organization needs a data strategy to develop and use the value of its data and information assets. Developing a data strategy requires executive commitment and perseverance to an enterprise view of data’s capabilities. Introduction If you speak with many
The Business Analyst meets with stakeholders, but does the Business Analyst manage stakeholders? The successful BA should engage in stakeholder management to ensure the correct user provides requirements. Introduction A stakeholder is an individual who has an interest in your
