How data analytics is driving real life change 

How data analytics is driving real life change 

Rebecca Graham

Rebecca Graham

The value of data has become an inescapable fact of the modern world. No sector, industry or market could claim to be better off without data-driven insights that allow them to make informed decisions. Today, business success is so often shaped by how well data is being used. Predicting the future, understanding the past, navigating the present – it all comes down to data.  

So, what are some examples of the ways data has driven real life change in different markets? Let’s take a look.  

Data-driven goals, on and off pitch  

One example of the power of data in sports is in LaLiga. The sports league is using real-time streaming data generated by hundreds of cameras across stadiums, and deriving levels of actionable insights that were previously simply not possible.  

Football teams are then using these insights to revolutionise the way the game is coached and played, amplifying performance. This means helping players get better at their game, and delivering more personalised fan experiences that change the way the game is enjoyed.  

Media and Gaming  

Online gaming is another sector which can reap huge amounts of understanding and insights by properly harnessing data. SEGA, a worldwide leader in interactive entertainment, is using real-time data to drive community activities, improve player experiences, and offer more personalised interactions. By harnessing data properly, the company has transformed the role of data science in the business, making it a key pillar for decision making.  

This has also helped to fuel a collaborative culture when it comes to data, with the company’s internal data teams working with teams from external game studios – pooling together ideas and solutions to drive innovation and create an ever-improving experience. 

Energy 

Elsewhere, the energy industry is also reliant on data. Particularly at a time when prices are such a concern, and when pressures of climate change mean energy providers are needing to transform their operations. An example of this is Shell. Shell is acting on data analysis to change its model and cut down emissions and, according to its first energy transition progress report, published in April 2022, the company has already cut total emissions by 16% since 2016.  

The data is being used for business intelligence as well as to spot problems at early stages, and before they cause major problems. For instance, in a plant in Nigeria, Shell has been able to remove bottlenecks and reduce boil-off gas from evaporation and associated flaring by 70%. This has the potential to cut carbon dioxide emissions at the plant by 130,000 tonnes a year.  

It’s clear that the value of data is felt everywhere. From the world of sport, to gaming, energy, medicine, construction, and more. Harnessing data effectively is they key to driving long-lasting, tangible business success.  

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