Top 5 Digital Analytics Trends That Will Help You Rule the Future

Aug 2, 2018

sales forecasting

In this technological age, digital analytics has emerged as an important tool for the brands to decode the preferences of their audience. The availability of data is what makes the difference between the digital channel and conventional channels like TV or print media. Thus, digital analytics assumes a crucial role in providing an edge to digital marketers by helping with efficient data analysis. Gradually, companies are getting transformed into data-powered organizations from data generators and that is one of the reasons why digital analytics marketing will become a core business disruptor in the days to come. Here are some emerging digital analytics trends that are going to rule in the future.

Top Digital Analytics Trends

The Rise of Cloud Analytics

Cloud analytics is going to emerge as an important arm of digital analytics in the days to come. It will help organizations with various analytics capabilities like exploring, planning, predicting, visualizing, preparing, collaborating, simulating and managing the data through common logic. Software as a Service or SaaS helps businesses in innovating a smooth experience for the user with common user experience. This will help the organizations to reduce their total cost of ownership in analytical requirements. This, in turn, will lead to an increase in ROI by three to five times.


Are you ready to empower your business with analytics? Request a FREE proposal to learn how Quantzig’s analytics solutions can help transform your business.


Big Data Going to Rule

The day is not too far when big data will help businesses to unveil insights that’ll help minimize costs and maximize customer satisfaction. It is going to be one of the smartest digital analytics marketing tools in the future. One of the biggest concerns of any organization is the management of huge data volumes efficiently. And this is where big data is going to emerge as a solution provider for the companies.

Machine Learning to be Bailed Out

There will be a rapid growth in the role of AI and automation technology in decision making. This technology will have a significant impact on digital analytics in the future as it will help in gauging insights into a large volume of data. This technology will also help data scientists to gain scalable insights into smart business processes and applications.  

Social Media: An Innovative Recipe for Digital Analytics

Social media is going to emerge as an important contributor to digital analytics marketing through an analysis of social data and text mining. Social data and text mining will help marketers to understand their customers’ interests and preferences more precisely. Social media provides innovative analytics and data that will continue to help the companies to have a better insight into various aspects of customers’ decisions.

Spreadsheet to Retire

Spreadsheet is going to take the last breath for many businesses. Through this step, businesses can eliminate the inefficiencies and inaccuracies and can move on to cloud analytics model, where financial plans and operational plans can establish a relation.

Ready to Harness Game-Changing Insights?

Request a free solution pilot to know how we can help you derive intelligent, actionable insights from complex, unstructured data with minimum effort to drive competitive readiness, market excellence, and success.

Recent Blogs

Supply Chain Analytics and its Importance for Businesses

Supply Chain Analytics and its Importance for Businesses

Supply chains generate massive amounts of structured and unstructured data, which, when used efficiently, can enable organizations to gain intelligent, actionable insights. Traditional supply chains, that do not make use of data analytics are siloed and slow-moving,...

read more
Four Metrics in the Telecom Industry to Make Smart Decisions

Four Metrics in the Telecom Industry to Make Smart Decisions

What you can expect from the Telecom Analytics Metrics Article IntroductionTelecom Analytics Metrics Highlights of the Telecom Analytics Metrics Article S NoTelecom Analytics Metrics1.Average Revenue Per User (ARPU)2.Minutes of Usage (MOU)3.Churn Rate4.Subscriber...

read more

Industries

Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.

Insights

Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.

Talk to us
Talk to us