Data Analytics: The Future and Beyond

By Mahima Magesh and Kareem Farid

The drive to determine your audience and decode their needs is a rising requirement — and essential at that. 

With the onset of the digital age, that requirement has been translated into entirely different platforms. The audience of which have radically different needs as well. This is why it is soul-wrenchingly paramount to understand the process of Digital Media Analytics. 

— But what if that was made easy?

Understanding your Audience

There are numerous tools out on the market that assist the function of following up with your audience’s interests. However they are very generic, most of which cover the basics; Age-group and gender, online activity and following, engagement, etc. It majorly focuses only on the ‘Whats’ of data analysis.

However, attaining the Why, Where and Whens’ of data is a painstaking process but helps you discover a pattern in the Psychographics, or MINDSET of your viewers. Which is why this information is so much above and beyond just the numbers. Hence, the market is in dire need of more advanced tools that use machine learning and Artificial Intelligence to put forth a more predictive analysis of data.

How can I use this data?

The data from the analysis of Digital Marketing Campaigns not only helps you understand the requirement of the audience, but also market to their needs. It helps a business identify potential customers and assist the function of creating and catering to their needs in a personalized way. The analysis creates a measurable value of the success of a particular campaign and also provides reason for WHY it worked the way it did. 

It almost solidifies a statistical guarantee on a favorable outcome and helps you refine and amend your product or service to build and satisfy customer demand. 

Predictive Analysis; Is it possible?

When a campaign’s data has been through the point of analysis, the business gains the ability to perform data-driven conclusions on the WHAT and WHEN of the product or service. This greatly alters future decision-making abilities by assessing trends to deliver on-demand.

The approach of predictive analysis determines how these trends may take form in the future and makes a massive impact on the relentless pursuit of ‘the next big thing’.

Anyhow, it will be so cool if a machine is giving an analyst all the answers for unasked questions.

The approach of predictive analysis determines how these trends may take form in the future and makes a massive impact on the relentless pursuit of ‘the next big thing

The bottom line:

These are merely a few of the many reasons a business might wisely choose to invest in an advanced Data Analytics platform made efficient through AI and machine learning processes.

Specifically, in the post-COVID-19 era, where the whole world is accustomed to switching online, Data Analytics is now more important than ever. We live in a time where if companies begin to adapt to the modernization of this process, it shows colossal potential for your personal communications revolution. 

So, If knowledge is power, and the power is online, then what is your next step?

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You might need a future decoder.