Medical care has come a long way in the last hundred years. Where once we had a system that required doctors to travel far and wide to respond to house calls in which they would ultimately offer medical treatment and consultation that is rudimentary by today's standards, we now have an industry that is becoming increasingly high tech. Particularly in recent years, … [Read more...] about The Digital Transformation of Healthcare, and What It Means for You
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.
5 Signs Your SaaS Application Needs Embedded BI
If you're a SaaS provider, your end users are guaranteed to be great at three things: generating data, being curious about their data, and complaining loudly when they need help accessing their data. If up until now you've quelled the masses using a hodgepodge of spreadsheets, hard-coded reports, and duct tape, allow me to confirm your sneaking suspicion that this system will … [Read more...] about 5 Signs Your SaaS Application Needs Embedded BI
Is Big Data Eliminating Gut Feel in Business?
Many of us trust our gut feeling implicitly. We have all been there when something didn't feel right but done it anyway. There was nothing obvious to suggest that it was a bad idea. Yet, when it turns out to be a disaster we wonder why we didn't listen to that gentle little voice: don't do it. It seems that our gut feel is some magical force, but actually, it is an accumulation … [Read more...] about Is Big Data Eliminating Gut Feel in Business?
Data Science, Machine Learning & Artificial Intelligence – What’s Trending?
Data Science, Machine Learning or Artificial Intelligence are significantly dependent on each other. When the world is moving towards the future to embrace IoT (Internet of Things), all these three domains play a very crucial role. They materialize the dreams of researchers about creating a smarter world for the human race. Global technology leaders are spending a lot of … [Read more...] about Data Science, Machine Learning & Artificial Intelligence – What’s Trending?
Why Blockchain and Analytics Don’t Mix Well
The concept of a blockchain is quite a phenomenon in recent times. It has quickly risen from a relatively obscure idea known mostly within some small circles to one that is being discussed as having potential to literally change some of the fundamentals of the world's economic systems. I don't claim to be a blockchain expert, but given that it is a new paradigm for generating … [Read more...] about Why Blockchain and Analytics Don’t Mix Well
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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.
Want to learn more about big data? Datafloq has courses available. Contact us to get started.
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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.
