Future of Analytics 
 
 

The Future of Analytics: 6 Predictions

Analytics have increasingly become an integral aspect across value fields in the industry when it comes to decision-making over the past years.

New technologies including machine learning, deep learning, and natural language processing have optimized efficiency and productivity in various organizations.

It is not surprising that intelligent analytics will bring about a new era of innovation particularly in the fields where data assets provide an invaluable contribution to driving business decisions and market competency.

Trends that Will Shape the Future of Analytics

Analytics will only become centered in the coming countless new technologies as data analytics continue to gain tremendous momentum in the foreseeable future.

1.Augmented Artificial Intelligence

AI itself is no longer a new innovation. It is already used among many organizations today from healthcare systems to transportation and industrial fields.

But analytics will boost AI technologies resulting in augmented AI that will not only unlock multiple benefits to companies but will also bridge the gap between the online world and the real world.

2.Hyper-Personalization: More Unique Solutions

Data-driven industries are putting more effort into adopting new technologies to streamline their operations. Apparently, today’s organizations are dealing with massive amounts of data from time to time. The use of AI will help companies develop more customized and unique solutions using more hyper-personalized information and advanced analytics applications.

Hyper-personalization plays a valuable role, particularly in retail markets. The more these types of industries know and understand their customers, the more they are able to convince them to patronize their products and services.

3. Analytics Will Have Broader Potential in Almost Every Industry

The future looks bright for analytics as many organizations start to embrace analytics in various operations. As automation continues to progress, almost every industry will rely on analytics and AI applications to increase productivity, reduce decision times, and overall leverage their operations.

4.The Impact of IoT on Analytics

Advanced analytics is quintessential to maximize business values more than ever. The IoT (Internet of Things) will have a profound impact on how organizations treat data and analytics. Thanks to the advent of advanced data processing techniques combined with AI, businesses will enjoy growth and more opportunities

5. Need for Speed and Real-Time Solutions

Businesses will need to figure out how to sense, interpret, and respond to enormous amounts of data, in real-time and at scale. It goes without saying that speed is vital for the success of every business. Today’s consumers expect fast solutions and instant gratification, which is why businesses need fresh data and real-time insights to enhance their business value else they will be left behind in the competition.

6. An Era of Collaboration

As organizations are positioning themselves to provide specific, real-time solutions, and gaining more advantage in the market, data analytics will be pervasively available across various organizations. This will be coupled with the increasing movement and development in intelligent automation, deep learning techniques, and artificial intelligence. With the collaboration of these modern technologies, this will have a profound impact on the economy and global productivity as a whole.

Venkat R Venkat R on January 1, 2019

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