Affiliated with:
The Business Analyst is confronted with the stakeholder’s desire to modify features, functions and requirements “just because” resulting in scope creep. Why are the stakeholders
Data scientists and other data management professionals need guidance from mentors who have a combination of education, practical experience, and soft skills to support successful
The pervasive and anonymous use of social media has increased the rate and frequency of online harassment and cyber-bullying, endangering the data, safety, reputation, and
Context is essential to the meaning of any text. The value of context in textual data analysis cannot be overlooked. We take context for granted.
There is no difference between requirements for agile projects and those for traditional projects. Therefore, the preferred phrase should be “requirements for agile projects” Agile
Data-oriented positions and professions may be less vulnerable to disruption by automation and new technologies, due to data management’s reliance on critical thinking, analysis, and
Creating and maintaining business and technical metadata definitions are two common data stewardship activities. Doing them well is essential to data stewardship success. Data stewards
Data and business analytics, blockchain, data science, big data management, and other trends in data management and technology will enable efficiencies in risk management and
Waterfall and agile project management styles have strengths and weaknesses. Both are suitable in specific situations. Know the strengths and weaknesses, and when to use
When migrating data across platforms, it is critically important to have three full data models to support the effort, with the relevant metadata. Having these
Every business analyst should know the optimal tools and techniques to use in any situation. Having this skill reduces stress, improves performance, and enables better
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
© Since 1997 to the present – Enterprise Warehousing Solutions, Inc. (EWSolutions). All Rights Reserved
