Engineering-led data science
Businesses and organisations have access to more data and more computational power than ever before. Senior managers in the organisations we support are aware of the data science revolution and have a desire to exploit it to keep up with or outperform their competitors.
Typically, the challenge they face is not being able to articulate their business challenge in a way that data science can deliver insight, and/or they don’t have the capability or capacity within their teams to deliver solutions.
We support with an engineering-led data science approach leading our clients from the business challenge through the complete solution lifecycle to actionable insight.
We are specialists in leading the front- and back-end aspects of the data science process, namely the challenge articulation and specification; and providing insight communicated through effective means. We can work alongside your existing skills and resources, or provide a complementary team, to make the most of your existing data, models and corporate knowledge. Our background as consultant engineers and mathematicians enables us to gain a rapid understanding of your business, processes and data; apply the most appropriate techniques; interpret the results in the context of the original problem; and communicate through a range of media to deliver value through effective and efficient solutions.
Our engineering-led approach to data science is outlined in the figure below. We put the generation and use of the requirements at the core of the process: we make use of data, models and knowledge in the context of the challenge and the desired outcomes. The approach is entirely scalable - we can support all the stages along the process, or a targeted subset to obtain the results you need. It can be applied to a broad spectrum of challenges, from strategic decision making, through to real-time operational dashboards and evidence-based interventions.
Typically, the challenge they face is not being able to articulate their business challenge in a way that data science can deliver insight, and/or they don’t have the capability or capacity within their teams to deliver solutions.
We support with an engineering-led data science approach leading our clients from the business challenge through the complete solution lifecycle to actionable insight.
We are specialists in leading the front- and back-end aspects of the data science process, namely the challenge articulation and specification; and providing insight communicated through effective means. We can work alongside your existing skills and resources, or provide a complementary team, to make the most of your existing data, models and corporate knowledge. Our background as consultant engineers and mathematicians enables us to gain a rapid understanding of your business, processes and data; apply the most appropriate techniques; interpret the results in the context of the original problem; and communicate through a range of media to deliver value through effective and efficient solutions.
Our engineering-led approach to data science is outlined in the figure below. We put the generation and use of the requirements at the core of the process: we make use of data, models and knowledge in the context of the challenge and the desired outcomes. The approach is entirely scalable - we can support all the stages along the process, or a targeted subset to obtain the results you need. It can be applied to a broad spectrum of challenges, from strategic decision making, through to real-time operational dashboards and evidence-based interventions.
