With the massive changes prevailing in the modern technological scene, many opportunities have presented for big data to play a crucial role in businesses success. For both small and large businesses, collecting and storing data has become an invaluable exercise because of the importance of big data.
The significance of big data has seen also massive development in cloud big data technologies, to ensure safe storage and maintenance of businesses’ crucial information.
Not long ago, big was insignificant in business operations. It was seen as large-scale businesses kind of game because it was only large scale businesses that could afford the technology. Besides the size of customers these big businesses dealt with meant the need for more precise data, thus a need for a data analytics tool.
But a lot has happened since then, big data has evolved in a pacey rate. And for this reason, even small scale businesses could now utilize and benefit from it. Another factor that has made it easy for small business to adopt big data is the inception of the cloud big data technologies.
Cloud big data eliminated the need for an advanced setup and costly data experts since all the necessary data they require can now be accessed any time and remotely as long as there is an internet connection.
These days, it is all about the will to use big data because, with the help of the cloud, artificial intelligence, and internet of things, it is pretty easy to handle even complex data.
Big data analytics has grown passed the tag ‘Hot IT Trend’ and has now established itself as an important part of running businesses.
Continue reading to find out the 6 big data trends you should know.
6 Big Data Trends
Accessible Artificial Intelligence
Businesses, both small and large are leveraging the power of artificial intelligence to improve their operations. Artificial intelligence programs can now perform tasks in a more precise and quick manner than humans, eliminating the errors along the way as well as improving the overall workflow. This allows staff to focus on more important things and thereby improving the quality of service.
With artificial intelligence, every worker can have access to the built systems that run AI applications to satisfy customers’ demands. If individual organizations can find a proper way of efficiently integrating artificial intelligence to their enterprise systems, they will gain competitive advantages.
Rapid Internet of Things Growth
Today, with the growing use of mobile phones it is unsurprising to see smartphones being used to control home appliances. All these can be attributed to the rapid growth of the technology widely known as the internet of things (IoT). This growth is forcing companies to invest heavily in the development of technology. Devices such as Microsoft Cortana and Google Assistant are a perfect example as they have been trending in recent years in home automation tasks.
As it is expected, more companies will jump at the prospect of offering better internet of things solutions. As a result, there will be the development of more ways of collecting a big amount of data as well as the methods of analyzing and managing it. The response from big industry players is to ensure more devices with high capabilities of collecting and processing data are created.
The growth of Predictive Analytics
For decades now, big data analytics has been playing a key part in businesses gaining a competitive edge and meet their goals. Organizations use essential analytics tools to process big data for better decision making. With predictive analysis, companies are now able to precisely predict future events and take appropriate measures necessary.
Predictive analysis is very effective in helping organizations analyze collected data to predict such things as customer behavior. By knowing customers next action step, companies can determine actions they have to take to satisfy the customer needs.
Even with the advancement in technology, analyzing and interpreting huge amounts of data can still take long. Industry players are still trying to come up with a tool that can crunch billions of data in a very short time, which has led to the birth of quantum computing. This is believed to be the only thing that could make that dream come to reality.
Despite quantum computing is still in the infancy stage, there have been positive experiments being undertaken in a bid to help theoretical and practical research through different industries. Very soon, big players in the tech industry such as IBM, Google, and Microsoft will start integrating quantum computers into their business processes.
Smart and Tight Cybersecurity
With organizations growing paranoid due to the past scandals involving system breaches and hacking, the industry will see companies adopting smarter and tighter cybersecurity. Organizations are now strengthening the confidentiality of information. The internet of things is also causing some alarms with the amount of data being collected, cybersecurity is a concern.
To help alleviate this concern, companies have come forward to help organizations effectively use data analytics as a tool to help predict and detect threats of cybersecurity.
It is now possible to integrate big data into cybersecurity strategy via security log data, where it can help provide information on the past security threats. By doing this, organizations can prevent and alleviate the impact of future data breaches and hacks.
Many predict edging computing to be more efficient in data processing than the cloud. Many organizations are turning now to connected devices with the help of the internet of things, to collect or process more customer data.
Edge computing delivers much better performance because the amount of data flowing in and out the network is not large, and with much fewer costs of cloud computing. Edge computing can also fasten data analysis, thus giving the organization ample time to make a decision.
There are also benefits such as infrastructure and storage costs if they delete unnecessary information gathered from the internet of things devices.
All these technological advancements across different industries possess a very concrete foundation in the form of big data. Big data still has a big role to play as a change catalyst the industry will soon experience.