Data Science Management
Project management unites clients and teams, creates a vision for success and gets everyone on the same page of what's needed to stay on track for sucess. When projects are managed properly, there's a postitve impact that reverberates beyond delivery of 'the stuff'.
Project management is imortant because it ensures what is being delivered is right and will deliver real value against the business opportuity. Understanding the data science side and the developers side is super important to ensure time is not wasted on developing models that will never be able to be implemented by the dev team.
Project management is important because it brings leadership and direction to projects. The leader needs to have a working knowledge of every aspect of the business to be trusted ad able to lead. Leadership allows and enables a team to do their best work. Project management provides leadership and vivion, motivation, removing roadblocks, coaching and inspiring the team to do their best work.
Clear Focus and Objectives.
Proper plan for executing on strategic goals. Break up a project into tasks for our team. Breaking up into smaller chunks of work enables teams to remain focused on clear objectives.
Realistic Project Planning.
Ensure proper expectations are set around what can be delivered. Set achievable deadlines. Create a clear process with achievable deadlines that enabbles everyone within the team to work within reasonable bounds.
Ensure output is quality tested at every stage