An extended data dictionary can provide business requirements analysts with the ability to catalog and use many more attributes and metadata than an standard data dictionary Introduction One of the key goals of business analysis is to obtain complete solution requirements. Among the solution requirements, possibly the largest share falls to user interface requirements, since most applications have significant user
Every professional, in every field, must be ready and willing to learn continually so they can maintain their skills and develop new approaches to an ever-changing world Introduction In the 21st century, every professional must be ready to embrace continuous education, and develop a willingness to learn new skills to develop talents that enable them to contribute to the ever-changing
Communication, leadership, problem solving, influencing, and emotional intelligence are all critical skills in every workplace, in addition to the necessary position capabilities. Introduction Data is the prevailing buzzword for 21st century corporate reality, revolutionizing all industries and forever changing the way they operate. Effective data management and analytics help organizations improve efficiencies, lower costs and increase revenue. With the right
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 may actually care if you get back [home] at some point, the essence of baseball can be broken down into
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 in reference to a wide variety of specialized training, formal education, or advanced professional learning intended to help an individual
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 proper management of data as well as the corresponding data definitions or metadata. It aims at ensuring that data and
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) today. Many metadata management efforts have gone well beyond the scope of data warehousing / business intelligence and instead are
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 about the great volume of new data types, such as data generated by the Internet of Things (IoT), and how
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 CEOs, most will tell you they firmly believe data is a valuable corporate asset, which, if used properly, can deliver
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 application and provides requirements, processes, or other information. The Business Analyst (BA) has the sometimes difficult task of eliciting the
