Data Science as a field has grown leaps and bounds. While there is a burgeoning demand for data science professionals, there is still a huge shortage of skilled data science professionals who can bridge this gap. With the evolution in the field becoming a new norm, organizations are going for a data science professionals with specialized skills. Question is “ are you the one … [Read more...] about These Certifications Will Boost Your Salary Packages!
Big Data
Learn everything you need to know about big data. Find out how companies are using this revolutionary technology and what it means for your business strategy.
Artificial Intelligence’s Impact on Procurement
Science Daily defines Artificial Intelligence as a system that perceives its environment and takes actions which maximize its chances of success. Essentially, it's software that can look at vast amounts of data and extrapolate patterns, offering data-backed solutions that businesses can take. That is is why over 55 percent of businesses plan on making significant investments in … [Read more...] about Artificial Intelligence’s Impact on Procurement
Dancing with Elephants
Dancing with Elephants or What I learned from working with utilities - from a startup perspective The End of Business-as-Usual We all know it and are part of it: The energy system is changing rapidly. Digitalization is advancing at incredible speed. Renewables, electrification of transportation and market deregulation are bringing enormous changes to the sector and are leading … [Read more...] about Dancing with Elephants
Insurance Data Analytics – Empowering The Insurers
The advent of advanced insurance analytics and data processing is remodeling the future of the insurance industry. The revolutionary changes in technology have widened the sources for data collection and made more data available for better risk mitigation, improved policy formation, timely fraud detection, and improved customer satisfaction. It is well-known that to a large … [Read more...] about Insurance Data Analytics – Empowering The Insurers
The Dirty Job of Data Provisioning in Energy Utilities
Dirty Jobs was a TV series on the Discovery Channel hosted by Mike Rowe performing the difficult, strange, disgusting, or messy parts of people's occupations. Every episode since it was first aired in 2005 has had exactly the same opening: My name's Mike Rowe, and this is my job. I explore the country looking for people who aren't afraid to get dirty ” hard-working men and … [Read more...] about The Dirty Job of Data Provisioning in Energy Utilities
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What is big data?
Big data is a term that refers to the massive amount of digital data created and shared every day. Big data can transform how we live, work, and communicate. It can be used to improve everything from public health and urban planning to business and marketing.
Big data is also changing the way we think about privacy and security. The volume, velocity, and variety of big data present challenges and opportunities for organizations and individuals. Regardless, big data is here to stay, and its impact will only continue to grow in the years to come.
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What is big data analytics?
Big data analytics is the process of turning large, complex data sets into actionable insights. Businesses use various analytical tools and techniques, including machine learning and statistical analysis, to do this.
Big data analytics can be used to improve decision-making in areas like marketing, operations, and customer service. It can also be used to identify new business opportunities and optimize existing processes. With the help of big data analysis, businesses can gain a competitive edge by using their data better.
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When was big data introduced?
The term big data was coined in the 1990s, with some giving credit to John Mashey for popularizing the term. However, the concept of big data has been around for much longer.
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Where does big data come from?
In the early days of computing, scientists and businesses began to realize that the amount of data being generated was increasing exponentially. As a result, they began to develop new methods for storing and processing data.
Over time, these methods have become increasingly sophisticated and have played a key role in enabling businesses to make sense of vast amounts of information. Today, big data is used in various industries, from retail to healthcare, and its importance is only likely to grow in the years to come.
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What are examples of big data?
One of the most common examples of big data is social media data. With over 2 billion active users, Facebook generates a huge amount of data every day. This includes information on user interactions, posts, and even location data. Analyzing this data can help companies better understand their customers and target their marketing efforts.
Another example of big data is GPS signals. These signals are constantly being generated by devices like cell phones and fitness trackers. When combined with other data sets, GPS signals can be used to provide insights into everything from traffic patterns to human behavior. Finally, weather patterns are another type of big data set. By tracking these patterns over time, scientists can better understand the impact of climate change and develop strategies for mitigating its effects.
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How do companies use big data?
Companies use big data in marketing, product development, and customer service. By analyzing large data sets, businesses can identify patterns and trends that would be otherwise difficult to spot. For example, a company might use big data to track customer behavior patterns to improve its marketing efforts.
Alternatively, a company might use big data to improve its products by identifying areas where customers are most likely to experience problems. For instance, big data can be used to improve customer service by finding pain points in the customer journey. Ultimately, big data provides companies with a valuable tool for gaining insights into their business operations.
