Kevin Smith has led embedded analytics teams and designed SaaS products for companies such as Birst, IAS, ServiceSource, and SAP Labs. Putting that experience to good use, he is now principal consultant and founder of NextWave Business Intelligence. A Colorado-based analytics product strategy firm, Â NextWave helps SaaS companies incorporate business intelligence into their … [Read more...] about How to Navigate BI Vendors with Industry Expert Kevin Smith
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.
7 Ways Big Data Analytics Can Augment Your Marketing Strategy
For the last few years, Big Data has been all the rage in the corporate world. Just when you thought the information age had been milked for all that could be squeezed out of it, the use of Big Data analytics became the avenue to massive corporate profits that keeps on giving. In fact, the more data that companies gather and leverage to improve their marketing strategies, the … [Read more...] about 7 Ways Big Data Analytics Can Augment Your Marketing Strategy
20 essential software development books to read
Software development books are a great source of knowledge and wisdom1. But unfortunately, there are very few people reading books today, especially programmers. Most often they rely on the internet search results to find answers. But If you're a software developer, you need to read more books, because software development is not only about coding, it is about thinking, it is … [Read more...] about 20 essential software development books to read
8 Top Smart City Projects & Leaders to Watch in 2017
The smart city became another buzz word these years, but we are going to be hearing a lot more of in the coming years. By 2020 we will be spending $400 billion a year building smart cities. Let's start with smart city landscape to see the trend and then look at absolutely amazing smart city projects, that may change our life, make it better! I think now we really reached the … [Read more...] about 8 Top Smart City Projects & Leaders to Watch in 2017
Data Science: To PhD or not to PhD?
...That is the question. Further study often seems the most appealing route to go down, and for many companies out there it's often heralded as a must have for data science, but it isn't always so and isn't always pivotal in advancing your career. To PhD. A PhD is your original, unique research into something not necessarily covered from that angle before. The content of a … [Read more...] about Data Science: To PhD or not to PhD?
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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.
