6 Big Data Analytics Trends Businesses Should Know

Your world is driven by data, and it is important for you as an organization to understand, and process the data to get accurate results. Information available is layered with noise, and it is important to segregate the noise to get meaning from the available information. Big data analytics helps separate noise from information, and also analyze the data to forecast the future. A number of tools have come up to help analyze the data and forecast the business future so as to expedite crucial business decisions. In a matter of time, the emerging technologies of the present times have acquired the ability to grow mature, and drive business decisions. When working with these technologies, you need to keep yourself abreast with the changing trends so that you can help deliver best possible solutions.

Here, we will discuss 6 big data analytics’ trends for businesses that will help them in defining their future strategies.

Cloud Enabled Analytics

A lot of tools and frameworks help businesses in providing insights based on the big data analytics results. But, the changing technology environment, and the growing data needs has to be addressed. There is no better way than introducing cloud based solutions which offers storage spaces for this huge volume of data, and also enables predictive analytics to offer business insights. Cloud enabled analytics offers the convenience and flexibility businesses look out for.

Newer Frameworks 

You need to perform data manipulations & analytics to get the ideal data for your business functions. The different distributed analytics frameworks have evolved into distributed resource managers which will help in streamlining and getting visual analytics’ data. These newer data hubs have made analyzing data cost effective, and increase interactions between people and products to gather more insights.

Data Lakes

With the big data lakes, you can reduce the amount of work being performed to analyze the date. Imagine a time before the big data lakes were a part of big data analytics’. You had to churn out the data by pooling in all your efforts, and following too many processes. This could become a tedious practice, and the results may or may not be accurate.

Predictive Analytics

This trend is here to stay! Big data analysts had a huge chunk of data that they needed to process in the beginning stages. But, today the big data analytics has evolved, and so have the analysts. With the combination of big data and predictive analytics, businesses can predict the consumer behavior and change their business strategies accordingly. It proves to be more profitable.

NoSQL Technologies

There has been an observed rise in NoSQL technologies which relates to unstructured data. This is beneficial to businesses as it makes space for schema-less database concepts. This will remove the need for structures, and help quantify the results in an improved fashion. The newer technologies will quicken the pace of processing and analyzing the big data.

In-memory Databases

SAP HANA the in-memory database which assists businesses in analyzing complex and huge chunks of data in real time scenario. With this tool, you can simplify the analyzing process, thus offering intelligence to your business. In-memory helps offer innovative solutions to your business issues.

With big data analytics’ your business can gain an edge over the competition. It helps analyze the data and strategize business decisions to scale your business. Semaphore software is a big data analytics provider which offers business intelligence to further your business capabilities.