Big data

Big data (108)

Privacy Policy in Big Data

Big data has become a new goldmine. It has become a new source of attention for players, most of who are concerned with the possibility of malicious individuals laying their hands on data and using it to wreak havoc. Big data privacy involves proper management of big data to reduce the risk and protect sensitive data. Since big data comprises large and complex data sets, many traditional processes and methods cannot handle the scale and velocity of data. As such, there is a need for safety and privacy protection processes to handle aspects of volume, velocity, value and variety, which is a characteristic of big data.  

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Watch These 6 Trends Coming in 2023

In an era where the business landscape is becoming competitive and changing rapidly, data collection and analysis are becoming crucial in determining the ability of a business to solve certain problems faced by customers in the market. Regardless of the industry, data has become one of the sought-after aspects. This has seen big data developing faster than ever. As you think of capitalizing on big data to enhance business operations, watch these six trends coming in 2023.

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Healthcare Patients Benefit from Big Data

The healthcare industry has come a long way. From the time when herbal and indigenous medicine was everything we had to the modern era where the use of modern technologies characterizes treatments. Technology has led to the introduction of concepts like telemedicine, electronic registers and records, the use of robots and enhanced medical imaging. One thing is visible in these technologies – the use of data to inform decisions. Big data has revolutionized the healthcare industry- helping save countless lives, reduce costs and enhance the efficiency of operations. All we can say is that healthcare patients benefit substantially from big data. Although the global pandemic has accelerated the adoption of digital technologies in healthcare, especially big data and analytics, it also exposed the industry and its weaknesses. Here are some key benefits of big data and analytics in healthcare and some applications.

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Cut Down the Costs of Your Big Data Efforts

Big data has a massive potential to revolutionize businesses by offering business intelligence. However, big data is often incomplete, incorrect, unsegmented, or poorly categorized. This prevents companies from taking advantage of data from different sources to deliver good customer service and implement strategies. Amid the competitive clutter in the business world, having the right insight can propel your company to the top and give it a competitive advantage. Taking advantage of big data to improve decision-making is easier said than done. While big data analytics is a good thing, it sometimes becomes costly. This calls for approaches to eliminate costs associated with gathering, accessing, sorting and analyzing data. Finding the right ways to collect and process information enables streamlining production, sales and customer service. To ensure big data analytics does what is intended, the cost needs to be minimized as much as possible; here are ways to cut down the costs of your big data efforts.

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Learn More about Big Data

Big data is one of the leading technologies that has become a buzzword for the past few years. However, most people in organizations do not entirely know what big data is and how their organizations are set to benefit from it. As such, we have gathered the most frequently asked questions on big data that might help them know what it is and provided answers to these questions.

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Big Data Still Has Its Problems

Big data is no longer mere talk. It is accelerating rapidly, leading to massive innovation in organizations never witnessed before. This is particularly the case in the emerging tech world and the evolution of applications such as AI and machine learning (ML). Although one cannot deny that data is a new goldmine for organizations, keeping up with the pace of change is difficult for them, and some projects sometimes become obsolete even before they launch. As such, we now find ourselves in a catch-22 kind of situation where while data has become a necessity for businesses and decision-making processes for organizations, gathering, processing and making sense of it is a massive challenge that requires the right strategies in place. Despite the years that we have invested in big data, it is true when we say that big data still has its problems. Here are some of the problems that big data still face.

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Australia's 2nd largest telecom company falls victim to one of the country's biggest data breaches

Optus, Australia’s second-largest telecommunications company recently fell victim to a data breach. The hacker who goes by the name of Optusdata claimed to have stolen 11.2 million sensitive customer records – threatening to sell the data if the organization did not pay $1M USD in  Monero cryptocurrency.

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The Pathway to Success in Big Data

Big data has, over the years, gotten bigger, better and more useful, and so have the expectations of people and organizations on its potential. With the continued adoption of this technology and digitization, big data will continue growing. Regardless of your database or application, it would be best if you had the flexibility to connect quickly and consolidate the data. With the advances in big data, you will also need a strategy for a pathway to success in your endeavours. Here are some best practices for approaching your big data and realizing its full potential.

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Yes, You Need a Strategy Behind Your Big Data

Big data is gaining momentum in almost every industry. Data clearly show this. For instance, IBM reports that 2,500 trillion bytes of data are produced by people daily. CISCO states that the main sources of this data are over 50 billion IoT (Internet of Things) devices and other connected devices that collect, analyze and share it. With all this diverse data, big data presents an excellent opportunity for major insights for the company of any industry, regardless of size. This makes a big data strategy pivotal. With the right big data analysis mechanisms in place, you can know when, where and how to shoot in the most optimal and possible way. Big data and insights from it make targeting accurate and bring out more appealing results.

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Big Data Statistics You May Not Know

We are constantly producing data of all manner from different sources. From kitchen appliances, most of which are connected to the internet, to mobile devices, which are used for various functions, accessing, storing and transmitting mountains of information has become a norm for most devices. The amount of information being gathered globally is massive, and processing it is even more challenging. This is because huge sets of raw data are too complex for traditional data processing software. With these challenges, powerful computers and advanced software are used to mine data and reveal patterns and trends. With big data taking the world by storm, there are many fascinating trends that you need to see that may make it easy for you to adapt to the new changes. Here are some fascinating general big data statistics you may want to know.

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