With so many different data analysis techniques available it can be difficult to get started or to understand what technique is best suited to what situation. A business looking to get some more use out of existing data or to better define a new project or goal could use some basic data analysis techniques to provide a more considered approach to the dataset. A clear understanding of the dataset, trends and relationships between variables will create a better path forwards.

T3Data can help to define the best techniques for the dataset, variables and purpose, ensuring that the most relevant answers to questions are provided. Some basic data analysis techniques used at T3Data include:

• Correlation Analysis: Examining the relationship between two or more variables to determine association
• Regression Analysis: Creating a predictive model based on one or more independent variables
• Time Series Analysis: Studying the trends and patterns over time for a single or for multiple variables.
• Principle Component Analysis: Analysing the components (variables) of a dataset to determine which cause the largest variance in the data, helping to reduce the dimensionality and complexity of a dataset to a more concise subset of variables