Experience and expertise in customer insight research and data visualisation for business intelligence
Datawoj is an independent consultancy, utilising data visualisation to deliver critical insights from customer and market research for evidence-based decision making.
I can help you to make sense of your data, turning it into valuable business intelligence to help make your decision making more effective.
What can Datawoj do for your organisation?
I can provide additional capacity in best practice data visualisation to support quicker and better decision making. Bringing expertise in customer insight and market research to help you understand your stakeholder’s opinions and behaviours.
Some of the ways I can help your organisation include:
Customer Insight and Market Research
Data Exploration and Analysis
How can Datawoj add value to your organisation?
Insight and intelligence help businesses and organisations make better evidence-based decisions. This helps them to be more efficient and effective leading to improved business performance.
Some of the ways that I can help your organisation to achieve insight through research, analysis and data visualisation include:
Identify and act on emerging trends faster
Easy understanding of information
Bringing valuable insights to the surface, which allows for quicker and more accurate decision making.
Engage your target audience
Who is Datawoj for?
Businesses and organisations who wish to operate more efficiently and effectively through evidence-based decision making.
Organisations who want to understand their stakeholders’ opinions and priorities. I have been able to help clients through designing engaging online surveys the results of which I have analysed and presented.
Businesses who want to monitor and improve their performance. I have helped clients make quicker and better decisions through visualising their data and designing insightful dashboards.
Really knowledgeable and delivered a great session that will help us improve our questionnaire design and data viz.
Colin was proactive in researching and incorporating best practice data visualisation techniques and applying them in his dashboard designs. He was keen to engage with business stakeholders, communicating the art of the possible and listening to their feedback.
Colin was organised, proactive and flexible, and the outcome of this approach means we have not only delivery of the dashboards, but have undergone with Datawoj a rich process of learning through joint problem-solving – and we are delighted with the result.
We have come away from the survey part of the project with minimal fuss and some very valuable insights to carry us forward into next stage.
In terms of the data visualisation approach, Colin helped us to think about the art of the possible, while maintaining the highest levels of accuracy and quality – rooted in the outcomes we hope to achieve.
Throughout the project, Colin kept in close contact and checked with us regarding key elements of the analysis to make sure the outputs provided the intelligence we needed to support decision making.
Throughout, Colin has been an excellent communicator, diligent with the quality of work and bringing additional value to the work that we do.
Latest From The Blog
A challenge social research analysts quite often face is how to effectively communicate data which will inform the solution to a particular social problem or issue. Decision makers quite often feel over whelmed by the wealth of information available. We need to reduce the time it takes for them to understand an issue and make an informed choice of how to resolve it. How do we go from a list of numbers to a clear message, which can inform a business decision such as where to target resources?
We have seen how the human brain processes visual information through iconic, short and long term memory. Pre-attentive attributes such as colour, length and position are visual properties that are processed very quickly in the sub-conscious memory. As data visualisers we can leverage pre-attentive attributes to focus our audience’s attention to highlight key performance issues.
Building different views allows our audience to see different insights from the same data. This means being able to quickly ask and answer business questions. This is important to be able to see the underlying cause of problems. It also means that we can go exploring in detail different paths of analysis, which is a great way to engage our audience’s curiosity.
Quite often we will see data visualisations which try to stand out by using too much colour. The problem is that this can lead to cognitive overload as there is too much to process. Additionally when everything is the same colour then nothing really stands out.
Analysing the data as aggregate bar charts and individual points on a line made me think about different ways I could improve my average step count.
Set actions are versatile: the metric calculation can be used to change the chart, title and colour of the measure selector!