Across society, it’s becoming increasingly common for individuals and organizations to digitize everything from consumer, patient and HR data to facilities and facilities-based data. As such, the ethics of data science is a vital consideration for any organization that wants to harness its data for innovation. However, it’s not easy to uphold ethical standards without … Read more
Whether you’re a data scientist, a business leader, or a teacher, the art and science of data visualization is crucial for effectively communicating complex data sets. A good visualization should always be focused on one key point or statement that the data is making. Keeping this goal in mind will prevent you from creating visualizations … Read more
The fashion industry is a fast-paced, constantly changing environment. Organizations that are able to adapt and innovate quickly will succeed. Organizational innovation can include understanding market trends, promoting collaboration, investing in technology and data analytics, fostering a culture of innovation, and more. By understanding these factors, organizations can drive innovation and stay ahead of the … Read more
Sports teams and organizations are leveraging data to gain an advantage in the business and on the field. They are using data analytics tools to make decisions that help them plan better and innovate faster. The data collected by wearable devices, on-field cameras and tracking gadgets is fed into specialized BI solutions to analyze the … Read more
Energy companies are using data analytics to optimize their operations, improve decision making and create a foundation for future efficiency. It can also help them predict and mitigate the impact of climate change. But, the energy industry is facing a shortage of engineers with data science skills. This is largely due to a graduate-level curriculum … Read more
In today’s data-driven world, it’s critical for businesses to ethically gather, use, and protect personal information. The field of data ethics explores this issue. A growing number of organizations are developing Data Ethics guidelines to help safeguard individuals’ privacy, and to ensure fairness in the way they’re treated. De-identification De-identification is the process of removing … Read more
Data is a collection of facts that are analyzed to generate insights. Insights are the findings that drive actionable takeaways to improve your business. However, converting data into actionable insight isn’t easy. It requires a step-by-step process that starts with understanding the data and ends with making decisions based on it. 1. Understand the Data … Read more
Data science is transforming how retailers interact with their customers. It helps companies provide a personalized experience, and it can also increase sales. A retail company can use data science to optimize prices based on customer surveys, behavior, demographics, psychographics and historic sales. Another popular retail application of data science is a recommendation system that … Read more
Predictive analytics aims to predict future outcomes based on historical data. This is done using statistical algorithms and machine learning techniques. The technology is used in a wide range of industries, from finance to health care to manufacturing. Some use cases are surprisingly relatable to the average person, such as content recommendation for Netflix. Health … Read more
With an endless stream of unstructured data available, it is becoming critical for businesses to understand how to make sense of it. This is where data science comes into play. Machine learning is a sub-field of data science that studies data over time to build predictive models. These can discern trends and help machines learn … Read more
