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7 Steps From Raw Data to Insight

Data scientists generally ascribe to the “machine learning process” which is seen as a roadmap to follow when working on a data science project. The infographic at the end of this article provides a detailed work flow that it is general enough to encompass pretty much any data science project. Let’s drill down into each of the “7 steps from raw data to insight” to get a sense for how to approach this important process.

Spotlight

Everlytics Data Science India LLP

We are a data science company specialised in Machine Learning and Big Data. Our customers typically engage us to bring their (mostly disruptive) tech idea to life. We take their lead to discover and develop light-weight and robust solutions that bring meaningful and targeted value. How do we do this? We build strong and collaborative relationships with our customers. We build confidence and trust by delivering value early in a project. We bring fresh perspective and new capabilities, whilst our customers draw us towards the outcomes. What do our solutions look like? They are attractive and intuitive, tailored yet strategic, require minimal user training or change management, ultimately reducing risk. We identify and re-use patterns to dramatically cut the cost, time and complexity of the solutions we offer our customers. Our solutions are developed with rigour and adopt the most suitable technology stack.

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7 Steps From Raw Data to Insight