Becoming a data-driven organisation is not an easy task and many C-level executives struggle with it, as developing a Big Data strategy is not only about the required IT; it is more about having the right people and culture in place. The right IT environment is required to perform the analysis, but in the end, Big Data is a peoples question. As such, a prerequisite for a … [Read more...] about How Big Data Will Take The Role of the CIO to the Next Level
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.
Top 5 Analytics trends in Fashion Retail
Technology has enriched the overall customer experience. As a result, todays leading fashion houses are looking at several ways to utilize emerging analytical technologies in fashion retail today. Lets look at some of the ways this is happening today. Digital Marketing and Social Media Analytics Digital marketing analytics expenses increased by 60% in 2015 as branding and … [Read more...] about Top 5 Analytics trends in Fashion Retail
How Big Data Security Analytics Will Protect Your Company
We live in an era of increased cyber threats. With dozens of companies and organisations being hacked on a daily basis and cyber-crime rising to new levels with hacking during the US elections, it is time for organizations to start protecting themselves. Big Data Security Analytics can help companies understand what is happening within their company and can help them take … [Read more...] about How Big Data Security Analytics Will Protect Your Company
6 Steps You Should Be Taking to Secure Your Corporate Data
In todays data-driven world, information is as valuable as currency. All the data your company collects is a commodity valuable to somebodyit might take the form of customer information, private financial data, or even proprietary secrets. Losing any of this data, or having it compromised could be a major threat to your business; not only would you lose some of your most … [Read more...] about 6 Steps You Should Be Taking to Secure Your Corporate Data
The Impact of Predictive Analytics on Horse Racing
Predictive analytics and big data have been used in sports for well over a decade. Using advanced statistical analysis allows professional sports franchises to better identify talent and predict future player performance. In 2002, the trend entered the mainstream when Billy Beane, the Oakland A's general manager, used it to create a cost-effective baseball roster. He used the … [Read more...] about The Impact of Predictive Analytics on Horse Racing
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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.
