Effective collection and use of data is key for companies across domains and it is only increasing in importance. For companies in the embedded systems domain, data constitutes the basis not only for quality assurance and diagnostics of their systems but also for new service development and innovation. For these companies, data is an enabler for continuous delivery of customer value and hence, a key asset for entirely new and recurring revenue streams. However, effective use of data requires careful collection of different kinds of data depending on the purpose and context for which it is intended to be used. In this paper, we identify the challenges that companies experience in their contemporary data practices and we outline the kinds of data that companies need to collect as they evolve through different maturity stages. In addition, we provide concrete guidance on the specific data to collect during each maturity stage.