The Startup Magazine How Data is Changing the World

Humanity has come a long way, from not owning the Internet to producing over 2.5 quintillion bytes of data each. Interestingly, more than 90 percent of that data was generated only in the past two years. This massive amount of information has been called Big Data, and it is rapidly changing the world. For information to be considered big data, it must have the following characteristics: volume, variety, speed, and value. Nowadays, it’s all about data. The things we do online can be considered our digital footprints, which companies use to provide us with better services and products. This article will talk about the impact of data and how digital transformation is changing the world.

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Energy Efficiency Approach

Even as one of the most technologically advanced countries in the world, the US electrical grid is surprisingly inefficient. Data from 2017 shows that more than two-thirds of the energy produced in the US is lost, mainly in the form of heat loss. This happens because they produce much more energy than they consume.

It is possible to reduce energy waste and reduce greenhouse gas emissions by collecting and analyzing data about how we use energy. It can be tracked using smart devices such as meters and other connected devices. These devices can detect energy waste and provide insights into how to eliminate it. Also, utility bills can be used to understand and forecast energy use and demand. This information is then used to efficiently distribute resources such as solar panels. Network operators can use big data to track the energy they produce Solar Panels and improve them to suit the energy needs of different households.

modern agriculture

Precision farming and smart farming help farm owners save resources and create new jobs. For example, farmers can predict the productivity of their farms using various technology and algorithms by analyzing chemicals, weather, plants and soil moisture. This knowledge will give them detailed insights and help them make better decisions such as knowing when and where to plant, using fertilizer, and harvesting. This greatly reduces the need for manual labor. It is also common to use big data to remotely manage farm equipment. It gives farmers the ability to monitor their tools based on processed and analyzed data from satellites and farm sensors. You can read more about data-driven solutions for agriculture at EOSDA Blog.

Improving health care

The healthcare sector is undergoing rapid digital transformation, and big data is playing a huge role in it. Big data is now used in every aspect of healthcare, from scheduling doctor’s appointments to treating and caring for patients. Doctors can get complete information about patients using advanced artificial intelligence tools such as machine learning and predictive analysis. They can also create an accurate digital representation of a person using data from wearable sensors. This will help them better diagnose, manage and treat patients. Also, big data and predictive analysis can be used in the public health sector to predict, control and prevent disease outbreaks. Moreover, big data also helps in accelerating research in the healthcare sector. For example, DNA sequencing can be used to predict disease patterns, helping to find treatments faster.

urban planning

It is not easy to run and manage the city. However, big data has made things easier and more seamless. City planners won’t have to manually track the movement of people and vehicles or rely solely on surveys to see which areas need improvement. Instead, they can use data from telecommunications and Fitbit devices, which provides a wealth of information to analyze and improve traffic routes, saving time and increasing the overall quality of life.

Big data is also used when planning the city’s future. It provides city planners with information that helps predict the impact of large and costly projects before they are implemented.

advanced retail

The marketing and advertising sector relies heavily on big data to make accurate forecasts. For example, major tech companies like Netflix and Amazon collect and analyze their customers’ browsing and viewing habits to create what are known as “recommendation engines”. This shows customers the different products or movies they might want. It is an excellent form of personal marketing that greatly increases sales.

Big data can also provide insights that retailers use to better manage their inventory. Using real-time analytics of purchase history, weather conditions, and time of year, store owners can see which items will increase sales and generate more revenue.

conclusion

Big data is constantly changing like technology and innovation. Many companies have easy access to consumer information, which gives them all the knowledge needed to offer better products and services. However, all of this data has a cost. Because customers know that companies have access to their data, they set very high and sometimes unrealistic standards for these companies to meet. These high expectations can cause some companies to fall if they do not embrace digital transformation.

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