What is the Data Journey?
A new data journey begins every time there is a critical business question that needs answering.
It ends with a set of actionable insights and answers that enables effective decision making.
It is a process of capture, structure, analysis, visualisation, and decision.
When working without clear methods and analytical rigour, it is all too easy to make errors, resulting in unreliable outputs and lost confidence in your decisions.
The data journey has no ‘standard path’, but with our vast experience of each step, we can guide, support and undertake any or all of the steps with you.
Whether it is sourcing and reconciling the data required, ensuring that the data is fit for use (and what to do if it isn’t), undertaking the analysis, or shaping the output to ensure the wider business community understand the actions required.
What stage of the data journey is your business question?
Data Capture
It’s impossible to do a good job without accurate information.
Ensuring that you are capturing the right data is critical to forming credible answers to business questions.
Data Structuring
Without structure, your data is inconsistent and meaningless.
If set up right, data can be used to benefit and empower teams across your business, but without structure it can simply cause more inaction.
Data Analysis
Getting your hands on the right data can be invaluable to any business.
Transforming and modelling data is critical to discover useful information, inform conclusions, and support decision-making.
Data Visualisation
Great visualisation is absolutely key to effective communication of ideas.
Visualisation uses techniques to graphically represent analysis, allowing stakeholders to easily understand data insights.
Let’s Talk Data.
Send us a message or request a callback for an informal chat.
See how we can help your business operations.
Get Inspired…
Recent projects that highlight the data journey:
Understanding growth forecast implications
Translating the impact of business projections on complex operations into actionable insights.
Determining best practices statistically
By creating a consolidated dataset, analysis of different hypothesis could be undertaken in minutes, rather than days.