How are aerospace manufacturers using big data?

| August 16, 2017

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The Aerospace Technology Institute has revealed the findings of a study into the current state, opportunities and challenges of big data analytics in the UK aerospace sector. Big data involves using advanced technologies and processes such as algorithms, machine learning and data mining to extract value and inform decisions. Today, aerospace companies collect vast – and rapidly increasing – quantities of data. However, data by itself is relatively worthless. Too many businesses, for example, have admitted to collecting data for data’s sake. Big data analytics helps to generate valuable insights which are then being used to improve decision making across the value chain, from measuring product performance to assessing the impact of weather on the supply chain and how it might affect downstream operations. Big data challenges. Before analyzing data, its fundamental architecture needs to be addressed. Data configurations are not always directly transferrable and legacy systems may no longer be supported. Translating input data into value can be difficult and requires skills or roles not traditionally associated with aerospace – such as data engineers or data scientists. Utilizing data analytics to enhance product services can also be restricted by the ownership of data, something which may be impacted by the arrival of the EU’s General Data Protection Regulation (GDPR) which comes into effect in less than 12 months.

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Copernicus was founded in 1993, with the mission of reinventing the way companies think about, practice,and evaluate marketing. With our data-driven approach to marketing strategy, Copernicus has helped hundreds of brands develop and launch breakthrough marketing campaigns.

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