For any business to grow and succeed, finding ways to increase revenue through sales is very important. When you are looking to improve your sales efforts, there are many different tools that can be used. Today, one of the best tools that you can use to improve your sales is big data. While many industries use big data today, those that are in the sales field could use it a … [Read more...] about Using Big Data to Excel in Sales
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.
Why Retailers Are Losing Ground by Failing to Utilise Big Data
If you aren't running a business named Amazon, you're likely to feel the pressure of big data pushing small retailers out of business at an astounding rate. It's a bigger issue than the simple existence of Amazon. 2017 was a year to remember for all the wrong reasons as multiple retailers struggled to stay afloat despite already holding healthy market shares or a strong … [Read more...] about Why Retailers Are Losing Ground by Failing to Utilise Big Data
As Real Time as it Gets Location Data is Actionable Data
Location data has always been of interest to marketers but before 2010 the technology to leverage it was rather limited. The last 8 years, however, have seen a literal boom in a range of platforms that are capturing real-time, location data, and putting it to use via geofencing “ a service where an app, or similar software, utilizes GPS, Wi-Fi or cellular data to prompt an … [Read more...] about As Real Time as it Gets Location Data is Actionable Data
What is Prescriptive Analytics and Why Should You Care
There is more data than ever in the world and in the coming years, it will only increase exponentially. However, just collecting data is not enough if you wish to become a data-driven business. For that, you need to analyse the data to gain insights, and as you are probably aware, there are multiple ways to do so, each increasing in complexity and the value they create: … [Read more...] about What is Prescriptive Analytics and Why Should You Care
The Best Time To Improve Your Data Is Now
Recently the data landscape has been evolving at an even quicker pace. As such, companies are faced with an increasing number of challenges to effectively maximise the data they are allowed to collect and use. This is best represented by the introduction of the General Data Protection Rules (GDPR) introduced in May of this year, which has put pressure on all … [Read more...] about The Best Time To Improve Your Data Is Now
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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.
