Data analysis
What is it?
Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.
Do you need it?
Are you making decisions based on your gut feeling? Of course, it is important to listen to it, but it should always be backed with facts. Data analysis provides evidence that should not be overlooked.
How do we do it?
1. Gain understanding
What are you trying to achieve and why? To choose the best approach we need to understand your situation.
2. Clean the data
Real world data is always messy. Sensors can break and humans can make a mistake. Either way, anomalies must be detected and corrected.
3. Detect patterns
Some patterns are pretty obvious, others are very obscure. Statistical and machine learning tools help us to detect them all.
4. Generate visualisations
Human brain is the best at processing visual information. Our special attention goes to presenting the results in the simplest possible way using charts and graphs.
5. Make recommendations
Suggestions from different, unbiased point of view are extremely valuable. Based on our findings we provide directions for your future actions.