A Data Office has become a reality as part of many organizations’ enterprise architecture frameworks. A data office can support moving the organization toward a data-centric view for enterprise services and solutions.. Introduction Data Office, data service, data-centric architecture, data governance, chief data officer, etc. are some terms that have become part of the language of data management professionals. More
It is important to connect program-level agile frameworks with data and analytics delivery and the variety of application programs that will benefit from agile, flexible development Introduction As many organizations move beyond agile for individual projects, they make a transition to program-level agile frameworks. Although these frameworks provide some guidance on how to support agile programs with shared services provided by
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 asking for changes and what can a Business Analyst do about it? Introduction Project scope defines the extent of the project; “scope creep” is the tendency to add features, functions, business rules or other requirements which
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 job search process for entry-level data scientists and beyond was relatively painless. No more. As the profession has
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, and threatened over the internet, to the point where, if someone disagrees with another person, death threats often are the
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 this proposition we find out that it is anything but true. Context is necessary but it does not come free
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. With the rise in popularity of agile methods, business analysts and product owners often use the term “agile requirements” to
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 to do that job. That is, after all, the reason the candidate was hired. Simple enough, right? Not really. The
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 the great volume of new data types, such as data generated by the Internet of Things, will be a catalyst
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 “agile project management”. Since Agile is a bit difficult to describe by itself, it is better to outline the more
