The Big Data Analytics Explosion And The Top Ten Big Trends For 2018

The big data phenomenon and big data technologies has simplified the development process with readily available data nowadays. Software companies have developed solutions that give any business an edge over the competition. With the big data explosion, developing software has been made more effective and simpler. Last year was the big data landmark, with more companies storing, processing and extracting value from all sizes and forms of data. This year, systems that support huge volumes of both structured and unstructured data will continue growing. The market demands platforms that help data custodians govern and secure data analytics while empowering end users to analyze data.

The big data phenomenon and big data technologies have simplified the development process with readily available data nowadays. Software companies have developed solutions that give any business an edge over the competition. With the big data explosion, developing software has been made more effective and simpler. Last year was the big data landmark with more companies storing, processing, and extracting value from all sizes and forms of data. This year, the systems that support huge volumes of both - structured and unstructured - data will continue growing. The market demands platforms that help data custodians govern and secure data analytics while empowering the end users to analyze data.

The concept of big data has been around for years. Today, many organizations understand that if they capture all the data that streams into their operations, they could apply analytics as well as gain considerable value from it. Nevertheless, during the '50s, decades before ‘big data’ was uttered, businesses were using basic analytics to discover trends and insights.

THE BIG DATA TECHNOLOGIES AND TECHNIQUES PHENOMENON

Big data analytics could be described as high-volume, high-velocity, and high-variety information, which requires new kinds of processing to enable the enhanced decision making, optimization of the process, and insight discovery. These days, there are just so many devices and machines that let people find and obtain the information in a way that they have grown accustomed to. It results in a data bytes mountain. The big data analytics phenomenon has given rise to various tech trends, like how software developers build solutions and apps.

This year, some organizations expanded their software and services that translated Big Data into graphs and visualizations. This enabled researchers to gather and coordinate information regarding the general population in a more efficient manner and boost the customer experience. Also, it lets leaders streamline the decision-making process.

BIG DATA SERVICES

There are numerous companies that provide big data solutions and all the more innovations that use big data. The solutions integrate multiple systems, coordinates data, and presents it to the users in a dashboard view, in such a way that it helps users with valuable business insights and helps boost strategies and of course overall efficiencies.

BIG DATA ANALYTICS IN 2018 - Analytics would include Visualization Models

A survey this year of 2,800 experienced professionals working with BI or business intelligence predicted that data visualization and data discovery will be a significant trend. Data discovery has grown to include, not just understanding of data analysis and relationships, but ways of presenting data as well to reveal deeper business insights. As a result, visualization models get more and more popular as a way of translating data into usable insights. The ever-improving visualization models evolution has become integral in gaining insights from data analytics. The human brain could process visual patterns with big efficiency. It utilizes the subconscious in this activity and enables decision makers’ process information through scanning it quickly. Compelling visualizations engage the capacity of the brain for recognizing a pattern and useful visualization models would be the preferred option to process bigger sets of data and is one of the significant big data trends next year.

Predictive Analytics

Many business organizations have used historical big data research for supporting predictions of future behavior. Nonetheless, recent, updated research will be more valuable in making these predictions. Predictive analytics offers users an edge and has an incredible possibility for boosting profits by knowing customers in real-time.

Reshaping the Healthcare Industry

Now, big data is used for driving healthcare solutions, but could also reshape how people access their healthcare and how they pay for it. Wearable, new technology monitors the health of a person, enabling hospitals and clinics to boost the quality of healthcare. Patients could have a networked device that will remind them to take their prescriptions, do exercise and be alerted when blood pressure levels change significantly.

The use of big data has become an important way for leading businesses to stay on top and to be ahead of the competition. In most companies, established competitors and new entrants as well would leverage data-driven strategies to innovate, compete and capture value. With continuous technology innovation and the changing needs in businesses worldwide, it’s, without doubt, that big data matters in a huge way. It helps organizations boost services and to stay on the competitive edge.