Ask any sports executive, and they'll tell you that the biggest and most important shift in recent years is from using gut instinct to data for making important decisions. With so much information flowing around during the current digital age, you need to use this approach when it comes to your marketing strategy. Marketers in every industry and sector are using analytics and … [Read more...] about How to Use Big Data to Perfect a Marketing Plan
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.
Retail Pricing: Getting the Most Out of Machine Learning
Machine learning is here to help retailers become more productive and If you are reading this article, you are probably looking for new approaches to optimizing pricing. Simply put, traditional methods are not good enough anymore. It is true that they are still working well enough to let you survive, but they are insufficient to put you ahead of tech-savvy competition. In this … [Read more...] about Retail Pricing: Getting the Most Out of Machine Learning
What is Data Observability?
Observability is no longer just for software engineering. With the rise of data downtime and the increasing complexity of the data stack, observability has emerged as a critical concern for data teams, too. Developer Operations (lovingly referred to as DevOps) teams have become an integral component of most engineering organizations. DevOps teams remove silos between software … [Read more...] about What is Data Observability?
Best Open Source Data Science Projects to Try at Home
If you are trying to discover a perfect career path in IT or simply experimenting with new tools from the comfort of your home, open source data projects could be a very interesting solution for you. It's a relatively new field of expertise that attracts thousands of talented programmers thanks to its massive application potential. Learning data science can result in two highly … [Read more...] about Best Open Source Data Science Projects to Try at Home
Data Quality You’re Measuring It Wrong
This article was first posted on Towards Data Science. One of our customers recently posed this question: I would like to set up an OKR for ourselves [the data team] around data availability. I'd like to establish a single KPI that would summarize availability, freshness, quality. What's the best way to do this? I can't tell you how much joy this request brought me. As … [Read more...] about Data Quality You’re Measuring It Wrong
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.