Every effective enterprise data strategy should consist of an analysis of the organization’s people, processes, technology, and organizational structure – and follow proven implementation steps. Introduction Along with understanding the concepts of a data strategy, it is important to know
Communication and miscommunication affect projects and so much more. There are simple steps anyone can take to improve all communications Introduction Most people have witnessed situations where two project team members start out talking calmly, then quickly escalate to a
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
Although the need for regulatory compliance may seem to negate the ability to become or remain agile, many organizations have discovered they can adopt and use LEAN and / or agile techniques and sustain their compliance activities successfully. Introduction In
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
