Colin’s help has been indispensable. He has provided us with a wide range of advice and training – not just in data visualisation, where he excels, but also in data prep and modelling. He has helped us unlock the potential of Tableau Prep, build robust relational databases in Tableau, and transition from using unpivoted data in Excel to pivoted (i.e. columns to rows) data in Tableau.
Creating a data visualization culture requires many different factors including people, technology and processes. But a good starting point is to consider how data is currently being consumed within your organisation. Then apply some visualization to the data incrementally. Showing your audience the before and the after is an effective way to show them the potential power of data visualization:
Colin is more than a data analyst – his work helps to tell an impact story. Colin provided quantitative expertise to help us make sense of baseline and endline survey data. Colin understood the evaluation methodology and supported us as evaluators to tell the best story using the available data. Our quantitative data was triangulated with qualitative data and Colin was instrumental in this triangulation process. Colin was an excellent communicator throughout the project, offering different options for presenting the data.
Appropriate questions lead to an effective survey which provides accurate customer insights. Easy to complete questionnaires lead to higher response rates.
Data visualisations often need to answer multiple business questions. Engaging with stakeholders leads to an understanding of what they would like to see and know.