Project Management using Agile methodology is an effective and
adaptable approach for IT projects. There are also many challenges involved in
making sure all involved parties have a clear understanding and are in
agreement with the project scope and process. Pacific Big Data uses a structured project
management approach that addresses possible miscommunications and workflow
impediments. Without a structured project and process plan meetings and
workflows can be dominated by Crisis of the Week/Day (C.O.W.) instead of
focused on problem solving. This delays task completion, leads to missed
deadlines and negative interpersonal interactions between team members and an
overall lack of project progress.
Project stakeholders, sponsors and others invested in the Business Intelligence
(BI) project are typically unaware of how much of an IT project’s time and
resources are consumed by infrastructure issues and data integration. Ralph
Kimball and Joe Caserta state that the ETL portion consumes upwards of 70% of
all resources required to build a data warehouse. The lack of
understanding on part of the stakeholders regarding the importance and time
consuming process of implementing ETL (Extract, Transform, Load), data warehouse
management and accurate service integration and reporting on a typical Business
Intelligence (BI) project can be a barrier to effective project management and
completing project goals.
Pacific Big Data’s project Management process follows best practices
and starts the project development process by working one on one with our
clients to define project goals and create a project charter. We listen to our clients’
needs and identify barriers, strengths and solutions during the project
planning phase. To reduce possible future confusion and workflow impediments we
create and finalize a clear project definition, scope, tasks and project plan
with the client. We also take the time to educate our clients on the
process of agile methodology and the time and resources needed to complete
their projects. This helps reduce friction between BI stakeholders,
Project Managers and Team members which is essential to effective project
management.
Want to learn more about Project Management specific to
deploying, implementing and managing data warehouses?
Contact us at:
Project stakeholders, sponsors and others invested in the Business Intelligence (BI) project are typically unaware of how much of an IT project’s time and resources are consumed by infrastructure issues and data integration. Ralph Kimball and Joe Caserta state that the ETL portion consumes upwards of 70% of all resources required to build a data warehouse. The lack of understanding on part of the stakeholders regarding the importance and time consuming process of implementing ETL (Extract, Transform, Load), data warehouse management and accurate service integration and reporting on a typical Business Intelligence (BI) project can be a barrier to effective project management and completing project goals.
Want to learn more about Project Management specific to
deploying, implementing and managing data warehouses?
Contact us at:
