Conducting a review of 1st party data (e.g. CRM, transactional databases) to understand the data that can be utilised to create value for your business, identify key data gaps that need to be filled, and create an analytics vision for the future.
Acquiring relevant 3rd party data (e.g. bank transaction data, digital behaviours, geo-demographic segmentation) and connecting it to a 1st party data set for insight generation and/or database enrichment.
Taking one or more large data sources and applying a range of statistical techniques to determine patterns and relationships that have a direct impact on marketing performance.
Analysing available data to identify the best predictors of a specific behaviour that can be targeted for growth.
Taking unstructured text and converting it into statistical data, so it can be used to find patterns and trends that can drive marketing decision making.
Social media analytics
Monitoring and obtaining data from social media channels and converting it into statistical data to determine the magnitude of feelings towards your brand, so you can manage your reputation effectively in the online space.