Big Data Trends For 2016 – Predictions by Biggies

It has become imperative for companies across all industries, small or large to join the big data movement. Volumes of data (both structured and unstructured) continue to rise in manifolds as we see there is an exponential increase in the number of handheld devices and other systems that are connected to internet. It is true that this data generation is huge and its growth rate is unpredictable. So the need to store the data, organize it, analyze and most importantly produce the raw data in usable format to support predictive analysis has become crucial for the business world.

The world of data science has seen many changes over the years. But questions still hover around – what are the strategies or trends that will drive this virtual data universe.

Let’s have a glance at some predictions made by experts on big data’s upcoming trends.

Growth of real-time data analytics

This year will see a growth in real-time data analytics and involvement of machine learning. Those companies without a rock solid data strategy are sure to lag behind when big data is engulfing the business world. Data repositories like big data are to become the conventional way of storage in future.

Data driven culture

2016 will see a data driven culture where data scientists or data experts can handle and analyze these complex statistics to be able to ask the right questions. Many new technologies and tools will come up to help business analysts to transform the intricacies of big datasets to simpler combinations and analyze them with machine-learning algorithms.

Support decision making

Users will be able to identify the array of factors that contribute to their business. This is becoming vital as both internal and external sources of data can be combined together to give more insights to the user to support better decision making. Various forms of data and their contexts like social and demographic factors will help the managements to de-risk their choices made.

Machine learning to gain impulse

Data analysts and data scientists will now be having more time as all manual data mining tasks will be done by machine learning and data analysis. As manual data wrangling will come down so the time, thus available can be put to create more data strategies. Use of artificial intelligence and big data automation will heighten the manual analyzation process and problem solving capacities. It will empower the strategists by providing creative solutions.

Streaming Analytics

In coming time streaming analytics will come to mainstream and prove its vitality. Many techies are now accepting the worth of real-time streaming of big data and experts have already started developing sophisticated streaming tools and streaming analytics. This will take real-time streaming to a whole new level. Streaming ingestion will be a prerequisite for winners in coming years.

Democratization of Data

With services like Amazon Mechanical Turks, users will be able to have an easy access to data from any corner of the globe which earlier was not possible. Having access to data from all around the world and the upcoming user-friendly tools is making it easy for the users to find the required data and anatomize it for further usage.

With big data platforms, compliance and security aspects are always associated. Technology and infrastructure are generally the focal points from security perspective. With huge amounts of data involved and large structural network of systems, it is out of human scope to keep it protected all the time. Also, many traditional encryption techniques adopted fail to secure large amounts of data. It is advised to secure the networks and systems with antivirus and firewalls like Norton. Capable of providing superb protection to big data repositories, Norton antivirus is first choice of many. Check out for Norton coupon code from reliable sites to get the antivirus package at subsidized prices for an effective protection of your network and data.

Rehan is an entrepreneur, business graduate, content strategist and editor overseeing contributed content at BigdataShowcase. He is passionate about writing stuff for startups. His areas of interest include digital business strategy and strategic decision making.