A performance gain of 3 hours down to 30 seconds is impressive and what’s even more remarkable is that it was only one minor change to an existing dataflow that was responsible for the gain.
A RACI is a matrix that summarises who is responsible for what on a project. It also defines who approves a deliverable, who is involved in the production and who is the target audience of the deliverable.
The matrix is constructed by placing the project roles in columns and the tasks and deliverables in rows and then in the intersect the letters R, A, C and I are used to indicate the involvement of the role on the deliverable.
An important consideration when producing project documentation is to know who the target audience is and therefore who should approve the document. For example, consider a report functional specification produced by a business analyst. The specification should be read, understood and approved by the Business Representative as they need to be sure that the report meets their requirements. In addition it should also be read, understood and approved by the report developer as they need to make sure that the functional specification doesn’t contain any features that cannot be implemented.
Having worked on and delivered many BI projects I have realised that one of the factors of a successful project is to have clearly defined roles and responsibilities for the project team members. This ensures that everyone knows what they and everyone else is responsible for and are required to do – no more “that’s not my job”.
This article describes a set of key roles for a BI project that is building a data warehouse and providing a set of reports and analytical capabilities to an organisation.
This article lists some of the deliverables that are produced as part of a BI project. It is not a fully comprehensive list and the descriptions of the deliverables are brief but the aim is to give an overview the main deliverables so that you have a starting point for your BI project.
This article is a companion article to the BI Project Roles and Responsibilities article which defines the roles and responsibilities on a project.
FICO, company that provides analytics and decision making services—including credit scoring, have published a new infographic summarising the key skills and attributes required by a Data Scientist.
Of course there are skills in statistics, data analysis and application to real world business problems but what other skills should a Data Scientist have?
Check out the infographic to find out and see if you have what it takes to be a Data Scientist.