When we talk about the process of competitive intelligence, we imagine organizations taking the onus of cracking data insights from different primary and secondary sources to be put to use. Primary information is still tracked with the same old methods of interviews and help from Competitive Intelligence partners. But secondary research was very different in the earlier times … [Read more...] about Need for Artificial Intelligence in Market and Competitive Intelligence Landscape for Data Interpretation
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.
Data Observability: How to Fix Your Broken Data Pipelines
While the technologies and techniques for analyzing, aggregating, and modeling data have largely kept pace with the demands of the modern data organization, our ability to tackle broken data pipelines has lagged behind. So, how can we identify, remediate, and even prevent this all-too-common problem before it becomes a massive headache? The answer lies in the data industry's … [Read more...] about Data Observability: How to Fix Your Broken Data Pipelines
Big Data In A Technology-Focused World
The world has been told that the future is in big data. A big fuss has been made and steps taken to ensure its future in our technology-focused world. The word first came around in a special research report published by McKinsey and IBM around May 2011. McKinsey lay it out quite daringly, proclaiming that leaders in every sector will have to grapple with the implications of big … [Read more...] about Big Data In A Technology-Focused World
Data Backup Options You Have in 2020
Running regular backups is something that every modern-day company should be in the habit of doing. When you're running a vSphere backup, there are many options to choose from, most of which are there to help you or your company tailor your storage needs. Because the need to backup and secure data is on the rise, there are several options to consider. The question then becomes, … [Read more...] about Data Backup Options You Have in 2020
Transforming Big Data to Competitive Intelligence for Achieving Competitive Advantage
Organizations strive to gain a competitive edge in their industry by several means like strongly orienting their leadership strategy, empowering their branding strategies, and importantly nurturing technology-based competitive strategy. To perform the last aspect, they have to spend their time and resources in large-scale data gathering and analytics of competitive … [Read more...] about Transforming Big Data to Competitive Intelligence for Achieving Competitive Advantage
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.