Data scientists and other data professionals need a combination of education, practical experience, and soft skills to succeed and have a positive impact Introduction Gone are the days of the Wild, Wild West for data scientists. In those heady days,
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 even lives of many people Introduction It is no secret that people are bullied, harassed,
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. Context is free and natural and just comes with data. Right? When we look into
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 development approaches are used currently in most software organizations at least some of the time.
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 human interaction Introduction No matter what job anyone has, the person has to know how
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 perform many common activities, including developing and maintaining data domain values, creating and managing business
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 insurance for many years. Introduction In Part One of this series, we spoke of how
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 one style over another for successful project management. Introduction Many project management professionals inquire about
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 models will reduce time, costs, and effort needed to perform the migration successfully. Introduction Migrating
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 results Introduction Chaos! Stress! Everyday mess! Isn’t this an everyday situation for a business analyst
