Improve customer value and customer experience with (big) data
Based on (big) data you can serve your customers better through sharper insights resulting in both increased customer experience and customer value for your organisation.
CIM7 helps organisations to achieve this quickly and effectively (earning while learning). We have expertise and experience both on the functional level (marketing, communication, data analysis and modelling) and on the technical level (data streaming, data quality, data platforms (cloud) processing, machine learning).
The best offers for your customers
Based on data and research results, we implement a structure that allows you to create customer insights and translate them into actions with measurable results. Customer insight provides the best propositions for the specific customer, offered through the right channels and with tuned content. In short, maximizing the relationship between customer and organization / brand.
The Customer Journey into practice. And with proven impact on the business results.
Stepwise optimisation of customer values
Areas of applications of customer insight & predictive marketing
First step: data analysis
Many analysis models are available to retrieve customer insight from data and research. Below you will find some common modelling techniques. We distinguish models that are primarily focused on Customer Targeting (the right customer the right proposition) and Customer Engagement (proposition / action that generates the best customer value for the customer).
More than data analysis
Continuous and structured customer insight requires a more automated process. The result of the data analysis is a set of calculation rules (algorithms) that need to be transferred to the software of the operating systems. During this transfer process several ICT issues need to be tackled, such as data transmission (including data streaming), data quality (data cleansing, ETL) and data processing.
If real big data is involved from many sources, it really is a great challenge.