As the Facebook and Cambridge Analytica data scandal cools down somewhat, the revelation that yet another tech giant has mishandled user data is still fresh in the minds of regulators and senators as CEO Mark Zuckerberg's recent meeting with Congress wraps up. Where this meeting will lead the tech and data industry is anybody's guess. For data protection advocates, this could … [Read more...] about Making the Case: Enforcing Harsher Penalties for Data Debauchery
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 Economics of Poor Cybersecurity
Although many people focus on the brands that get singled out during data breaches and other cybersecurity incidents, they often stop short of examining how these issues affect the global economy. Cybersecurity shortcomings have long-lasting and far-reaching consequences that impact society at large. The Domino Effect of Cybersecurity Incidents The primary victims of … [Read more...] about The Economics of Poor Cybersecurity
Six Challenges of Big Data Analytics for Retail
Retail is one of the oldest platforms for a buyer to interact with a seller. Long before e-Commerce and m-Commerce hit it big, the retail industry relied on great product displays, competitive pricing and effective salesmanship to get the job done. With the growth of technology and its numerous flavours and avatars, the retail industry pulled in what it needed. Today, with … [Read more...] about Six Challenges of Big Data Analytics for Retail
Data Loss Prevention – It’s All About Decentralization
The only realistic solution to solving the enterprise data loss problem is data decentralization. Â I once heard a talk by a great CSO and his comment really stuck with me. Hackers can fail 999 times out of 1000 and still be very successful but we have to succeed every single time or we have failed. Â The reality is that the best and brightest companies get hacked and it's not … [Read more...] about Data Loss Prevention – It’s All About Decentralization
How to Increase Customer Lifetime Value With Data
Customer acquisition costs are rising, and that could spell disaster for your company's bottom line. Luckily, big data could have a solution. By increasing the lifetime value of each customer, it's possible to make up those added acquisition costs, even if you can't bring in as many new buyers. Assessing The Problem Because customers spend the majority of their budgets on … [Read more...] about How to Increase Customer Lifetime Value With Data
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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.
