The rapid pace of technological innovation and the sudden emergence of Big Data has left a lot of marketers feeling left behind. In less than a generation, the marketing industry has shifted in a way nearly unprecedented in its entire history. It has gone from a largely intuitive or psychological art to being heavily defined by data, analysis, and science.  This has created … [Read more...] about 5 Data Challenges for Brand and Marketing Agencies
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.
The Anatomy of a Data Story
Stories are how people make sense of the world, so it follows that they'd also be our way of making sense of data. As much as technology can facilitate data storytelling, it cannot (yet) perform the pivotal step of placing data into the human context. That's our job, and we're really good at it. We're such natural storytellers, in fact, that most of us already use a story … [Read more...] about The Anatomy of a Data Story
How Big Data will Influence the Future of Business
For centuries now, the foundation of the commercial business enterprise is accessibility to data and information. The new world of business generates colossal amounts of data where technology has devised numerous ways through which business enterprises can harness the data. However, this new world order has bumped up against two significant regulation and public policy areas … [Read more...] about How Big Data will Influence the Future of Business
Big Data for Better Marketing or Better Data for Big Marketing?
Big data is not just a fad, it can make all the difference to make your marketing efforts meaningful and successful. To substantiate, big data analytics can increase a company's ROI to as much as $200 billion globally. Yet, a whopping 87% of marketers still believe that data is the most underutilized asset in their organization. Such huge amount of untapped data can contribute … [Read more...] about Big Data for Better Marketing or Better Data for Big Marketing?
Why the Organisation of the Tomorrow is a Data Organisation
The fast-changing, uncertain and ambiguous environments that organisations operate in today, requires organisations to re-think all their internal business processes and customer touch points. In addition, due to the availability of emerging (information) technologies such as big data, blockchain and artificial intelligence, it has become easier for startups to compete with … [Read more...] about Why the Organisation of the Tomorrow is a Data Organisation
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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.
