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How Data Science is changing the world
How Data Science is changing the world

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Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data and apply knowledge and actionable insights from data across a broad range of application domains.

Data science is an essential part of any industry today, given the massive amounts of data that are produced. In this article, we will explore the various applications of Data science and how it is changing the world as we know today

 As stated by Mike Loukides, VP, O’Reilly Media "Data scientists are involved with gathering data, massaging it into a tractable form, making it tell its story, and presenting that story to others."

Genomic Data Provides deeper understanding of Genetic Issues

Researchers are working hard to analyse up to two million genome sequences by 2026. Having access to this wealth of information means there is a hope to identify those variants, genes, pathways or other parts of the genome that are likely to cause disease, predict its progression and response to treatment. All of this, integrated using knowledge graphs, aims to help us better understand diseases and how they work, identify new drug targets and design better clinical trials.

genetic

 

Logistic Companies discovered the best time & routes to ship

Finding the best possible path from point ‘a’ to point ‘b’ is what we call as route optimization. This reduces the time taken to deliver a package and also, improves the efficiency of the system. Similar is the case with logistics route optimization. Gathering information from across all sources put up piles of data. Right from the GPS to weather, fleet information and the delivery schedules, all add to the system which is then used to predict the optimal route of delivery. It helps logistics companies like Fedex and DHL in time & cost efficiency

logistics

 

Predict Employee Attrition

With advances in Data Science & Machine Learning, its not only possible to predict Employee attrition but to understand key variables that influence employee turnover. Data sciences can also be used by HR manager to create several estimates like the investment on talent pool, cost per hire, cost on training, and cost per employee. It provides better techniques for optimization, forecasting, and reporting.

 

employees


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Nishant Kumar
Technology Enthusiast

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