Organizations that want to realize the value of their data and information as enterprise assets should consider forming and sustaining an Enterprise Data / Information Management Program Office or Center of Excellence. Introduction Many organizations decide that implementing some form
Preparing a data warehouse testing strategy can ensure the successful development and completion of end-to-end testing of any data warehouse, data mart, or analytical environment. Introduction Organizations need to learn how to build an end-to-end data warehouse testing strategy. This
Data services support the emergence of data offices and data-centric architectures to allow organizations to develop opportunities for improved data management and usage Introduction Data Service is a part of a data-centric architecture. A good data-centric architecture has many benefits
An Overview of Data Warehouse Testing Data warehouse and data integration testing should focus on ETL processes, BI engines, and applications that rely on data from the data warehouse and data marts. Introduction There is little that casts doubt on a data warehouse and BI project more quickly than incorrectly
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
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
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
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
