A plan that's right for you
step 1
assessment
“Garbage in, garbage out”, as they say. But we don’t want that. The first step in gaining data-driven insights into your business is making sure your data is reliable and complete. We will undertake an assessment of your current sources of data and advise on improvements to your data input processes that will result in quality information coming out of your business.
- Here's what we'll do:
- work with you to identify what's important to your business for growth
- review of your current accounting software and processes
- review of your other data sources and means of collection/collation
- identify areas for improvement
- project management to implement required improvements
step 2
analysis
Once you’ve got the data, what do you do with it? In step 2 we deal with the data gathering, cleaning, sorting, querying, modelling, mashing…. yes, mashing! Your data isn’t just limited to financial data. There is a wealth of non-financial data that can be analysed in tandem with your financial data. This is what’s known as data mashing. And it’s a must for your business.
- Here's what we'll do:
- work with you to identify what questions you need answered, so that we can focus on extracting the right data for analysis
- agree measures and specific factors to be included
- clean up your data ready for analysis
- analyse your data using data modelling techniques
- Look at trends, variations, correlations and outliers that might require further analysis
step 3
insights
Data analysis in itself won’t necessarily bring insights. Those light-bulb moments come from understanding at a deeper level what your data is trying to say. Visualising data is one of the most effective ways to interpret it. In step 3 we use data visualisation techniques such as charts and dashboards, that let your data tell the story and guide you towards better, more informed decisions.
- Here's what we'll do:
- Review data analysis from step 2 against original questions
- Revisit questions, results and context if necessary
- Compare results from different angles, to ensure they're not misleading
- Present your data in interactive dashboards that allow you to explore it dynamically to find the answers you need (and maybe answers to questions you didn't even know you had!)