Big Data Analytics, in layperson terms, can be defined as the intricate task of untangling and examining the data accumulated from various sources (organizations, websites, etc.) in an attempt to discover patterns, trends, and correlations in the same. The insights derived can be extremely valuable for businesses as they can then make important growth decisions based on the … [Read more...] about 3 Ways to Successfully Leverage Big Data Analytics for Your Business
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.
Location technologies and their usage in real estate
In 2004, GPS technology combined with map viewing interfaces (TomTom GO being the forerunner for it) facilitated the arrival on navigation devices' market. (1) Later in 2005, Google launched the web mapping product, Google Maps. And months later, the company sets in motion the Google Maps API that allows developers to embed Google Maps into an external website, onto which … [Read more...] about Location technologies and their usage in real estate
How Big Data and its Business Impacts are Disrupting Whole Industries
The business impact companies are making with big data analytics is driving investment in digital transformation across the board. Faced with multiple waves of disruption in a COVID-19 world, almost 92% of companies are reporting plans to spend the same or more on data/AI projects, according to a recent survey from NewVantage Partners . Small wonder. Data mature companies are … [Read more...] about How Big Data and its Business Impacts are Disrupting Whole Industries
Finding Career Growth Opportunities in Information Systems
No matter what industry you find yourself in, the use of data and information systems undoubtedly dictates the progress you make. With the online world driving data accumulation and business analytics, the more understanding you have of these processes, the more opportunities are open to you. However, some sectors of the economy are expanding at much greater rates than others, … [Read more...] about Finding Career Growth Opportunities in Information Systems
The Business Sponsor Who Asked The Right Question
We hear all the time about business sponsors who don't seem to get analytics and who are difficult to work with. There are some great business sponsors out there too, though they don't get as much written about them. Sometimes, the accepted conventional wisdom about what drives a given business trend can be dead wrong. It simply takes someone to think critically to find the … [Read more...] about The Business Sponsor Who Asked The Right Question
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.
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.
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.
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.
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.