Once the analysis has been carried out and results obtained, then everything needs to be correctly interpreted and reported for the right audience. It is important that the interpretation is decided through a discussion between those who understand the analysis and the results, as well as the data that was used, and those who understand the domain and the problem being addressed and how insights can be used. It can be easy to misinterpret results without the 2-way discussion. Once the results have been properly interpreted the project can be evaluated for success with respect to its original goals.
Reporting results of analysis can take many different forms depending on the stakeholder and it is important to get the presentation right. It is likely that there will be multiple outputs from a single analysis and can include technical reports, dashboards, presentations, posters, and demonstrators.
Interpretation requires discussion between various expertise involved in the project to ensure that the results of the analysis make sense in relation to the original goals and that insights are actionable.
Interpretation will look at what insights can be derived from the data and whether they are significantly different from chance.
There are many ways to report the results of analysis and the audience will define the best way. In all cases, a carefully chosen figure will be a powerful way to display the relevant information.
Reporting may be a written report or a verbal presentation with various levels of detail or more interactive such as a dashboard or user interface.
The project success will depend upon having suitable data, the required analysis and interpretation, as well as being able to present the results in such a way that the correct information reaches the correct people. The evaluation of the project will look at each of these areas and how they interact as well as how transparent and accessible that information is.
You will likely have to report the finding of your DCM project to various stakeholders. The way in which you do that will depend on the stakeholder. Some will want to know the details to evaluate how you have carried out the project, some will want results that they can use to make decisions with, and some will only want to know what decisions have been made and what they mean for the organisation, and more. We can provide support for presenting to the correct audience and have summarised some of the most important points below.
Understanding your audience is key to maximising the impact of your research. This document provides a stakeholder matrix template with key points to consider for a data-centric project.
All good things come to an end, and at some point throughout the workflow, your project will too. This template provides a conclusion point with key reflection prompts and items for closing down a data-centric project.
The DCM workflow contains a number of built-in coding tools to streamline your analytics process. Check out the guidance for building custom dashboards in Python with Plotly.