Both mature organisations with established NPD processes and greenfield start-ups often need focused PDM execution support to drive process acceleration, operational efficiency improvements and cost reduction. Even our most sophisticated clients often lack the right resources and skills to do PDM well. Many want to adopt new ‘agile engineering’ approaches, but this is impossible without good data.
Unleash your programme's potential
Decarbonisation and other major disruptors of the global economy are driving an unprecedented level of new, advanced product development and introduction. However, 90% of such programmes run late and over budget through lack of early visibility of different critical path items not being ready or misaligned through poor and incomplete product specification data. The operational impacts are huge – incorrect or wrong specification parts causing constant firefighting, reduced productivity, extensive re-work, immense frustration and high stress levels.
There is a solution - Quick Release_. What we do is critical to the success of any advanced engineering programme, and we are the best in the world at doing it. We will be your expert product data management partner that will bring order to your data and processes and help you bring your products to market faster, more efficiently and with less risk. Our hands-on approach is far more effective and impactful than any generalist consulting firm.
The QR_ advantage for..
Heads of R&D
Benchmarking PLM and PDM maturity, identifying gaps and how to close them. Establishing best practice R&D operating models, improving collaboration across functions, reducing R&D programme risks, avoiding adverse costs of quality failures, improving engineering efficiency and reducing lifecycles for new technology adoption.
Heads of PMO
De-risking mission-critical programmes, reducing programme delivery delays and better controlling costs. Providing leading metrics and diagnostics of future risks to be mitigated in areas such as data quality and issue management.
Heads of Engineering Services
Benchmarking PLM and PDM maturity, identifying gaps and how to close them. Improving engineering efficiency by reducing the time spent dealing with data administration and issue resolution. Creating a more attractive working environment for engineers, improving retention and enhancing attractiveness to new potential hires.
Heads of Business Services
Ensuring that NPD, PLM and PDM processes are optimally configured with clearly defined roles and responsibilities, the right activities undertaken in the right places by the right skilled people supported by the right (real time, accurate) data at the right time. Transparent performance reporting of data related KPIs providing a sound basis for continuous improvement. Better connecting the business with IT, through best practice business processes and real-time connected data.
Ensuring that the data is 100% accurate, providing the programme team with the information they need, when they need it to do their jobs, making it possible to plan and react in real time. Providing leading metrics and diagnostics of future risks to be mitigated in areas such as data quality and issue management.
Programme Finance Directors
Reducing programme delivery delays, controlling costs, ensuring accuracy of financial reporting versus budget, highlighting potential variances for early action, providing predictability of financial outcomes.
Senior Engineering Managers
Providing all of the engineers with the accurate, up-to-date information they need when and how they need it to fulfil their roles effectively and efficiently. Improving the availability of precious engineering resources by reducing the time spent dealing with data administration and issue resolution. Facilitating agile working, enabling them to iterate quickly and fail fast through real time data enabled processes. Also improving team morale by relieving the workplace stress that results from inaccurate data and dysfunctional processes.
Providing all the accurate, up-to-date information needed when and how its needed to engineer effectively and efficiently. Reducing time spent dealing with data administration and issue resolution. Also relieving frustration and stress as a result of inaccurate data and dysfunctional processes getting in the way of getting the job done.