Mobilisation
Starting with the value definitions of the business, we work back to identify the data assets needed. These are a mix of eXperience data (X-data) and Operational data (O-data). Optimising the data assets means organising it in a well-structured way. Then, people can leverage the data more readily and easily.
eXperience data is sourced directly from people. This is what people think and feel about anything and everything. Qualitative data is captured one on one. Quantitative data is a volume and requires technology to capture.
Operational data is all the other data of the business. It is captured directly as it happens or through measurement. Capventis not only helps you to define the model, but also implements the technology to integrate systems, devices and the Internet of Things (IoT).
It’s not just the insight, but how it’s presented and delivered. The ‘single view’ is, in fact, a collection of ‘multiple single views’. We must consider the recipient, the timing, the environment and the follow-on action. We prefer ‘mobilisation’ than ‘data science’ because it’s more than the data.
Creating value through data is a collaborative thing involving the whole organisation and its people.
Data management is complex and needs excellent governance, the right technology, and design.
It can be a central capability of its own – such as people with specific skills for analysis and statistical modelling – that feeds and interacts with the business owners that use its analysis, interpretations and outputs to design better experiences.
Or, it can be more distributed with certain aspects being centralised, such as data lakes or single customer directory.
Today’s technology, database tools, collection, processing and analysis platforms are very powerful, and if approached the right way, can ready an organisation to be truly data-driven with relative ease.
Only then can the business take itself to the next level of eXperience Management (XM) and benefit from being truly data-driven.
How we have helped clients mobilise data
Healthcare
Accurately predicted the number of patients likely to be presenting at an Accident & Emergency department within a major hospital.
Life Sciences
Helped significantly reduce the number of product reworks in a manufacturing plant, thereby greatly reducing costs for the business.
Financial Services
Worked closely with a client in the financial services sector to analyse all their HR data and successfully reduce employee churn.
Retail
Helped a client in the retail sector to accurately monitor stock control levels across all their stores, thus significantly reducing costs.