In a time of digitisation our aim is to guide our customers towards fact-based solutions based on proven methodologies. Armed with extensive experience and our track record in statistics and Design for Six Sigma we integrate and adapt the ‘new’ methodology of data science into the design process for new product introductions and continuous product improvement.
Our data analytics approach supports our customers during the whole product life cycle, from ideation to market introduction and field improvements.
In recent years many companies have realised that they have lot of data, only they don’t know how to interpret it or how their data can be used to add value to the company. This is when data analytics starts to become important.
Our data analysts can support you in your projects so that you will be able to:
A company is always searching for a way to ensure the development of a robust and manufacturable product. Design for six sigma is a way of thinking based on the Voice of the Customer and translates this into key design parameters. The design for six sigma methodology provides techniques to structure proper requirement management and translates it into technical solutions. Statistical techniques are then used to prove that the key design parameters are according to specification.
Holland Innovative has an extensive track record in setting up quality management systems for industry. We can support you to set up a complete Quality Management system from scratch to ISO certification. If required we can also support you with a gap analysis and generate a plan for the set-up of such a system.
A project always starts out with the Voice of the Customer and the Voice of the Business. The business case depends on the solution of the customer’s needs. No matter which methodology you’re using, whether it's DMAIC, DIDOV or CRISP-DM, we can support you in developing robust designs and processes and reduce variation in the entire process.
“If you dig a little deeper and utilize data science principles on reliability data, failure data, physics-of-failure data, and performance data, a lot more information and knowledge can be gained on products. Data science enables reliability to go from reactive-fact-based to reliability 2.0, which is predictive-data-driven.”
Sr Reliability & Functional Safety Expert
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Together with you, we face the challenge to share the future and take further steps towards value creation and social impact.
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