Integrating Big Data Through AI in Marketing
Data collection has always been a prime concern for marketers. It allows key businesspeople to make critical future decisions based on the insight from the previously collected information. Previously, data collection and compilation were considerably simpler due to the limited amounts available.
Today, the age of technological disruption has exposed the same marketers to an unprecedented amount of information – Big Data.
While Big Data has its benefits, it also comes with a significant set of challenges. This article highlights some of the biggest, most critical challenges marketers face today while dealing with Big Data. You will learn:
- What is Big Data?
- What is the role of AI in the integration of Big Data?
- AI’s impact on marketing?
- How modern marketing will not survive without AI integration for Big Data
What is Big Data?
The term points towards the heaps of data and information that have been put at the disposal of marketers in this digital world. They can track and gather information through social media activity, planted cookies, and in-app activities.
What Is the Role of AI in The Integration of Big Data?
The role of Big Data is increasing as businesses are leveraging user information to create relevant always-on campaigns and marketing strategies. However, deciphering and disseminating such large amounts of data has become a tedious and practically impossible task to achieve.
Furthermore, data is among the most critical assets of winning businesses today, which is why leveraging it holds immense significance. This is where artificial intelligence (AI) comes in.
AI allows businesses to turn bulk data into meaningful information for swift and accurate decision-making that puts businesses at a leading edge. Broadly speaking, the following four-step process will enable you to benefit from AI-driven insights.
- Gauge and feed relevant bits of data into your AI software
- Structure data to gather relevant insights from machine learning.
- Forecast consumer behavior based on the acquired insights through AI
- Integrate the AI-driven decision into your marketing strategy to leverage from the information at your disposal
AI’s Impact on Marketing
Enterprises are progressing at a rapid rate today due to their AI applications for Big Data. Both small startups and larger organizations are seeking their full potential by leveraging meaningful data through AI. Around 37% of the enterprises have already taken the leap – early adopters of AI integration with Big Data are expected to benefit the most in the following ways:
- It will enable them to make more insightful decisions more quickly
- Marketing strategies and campaigns based on AI-generated insights will yield greater ROI, impressions, and brand loyalty.
- Forecast potential changes in market demand and take proactive steps to mitigate risks.
Data will continue to grow
Did you know that the Internet of Things (IoT) industry is expected to become a USD 1463.19 billion industry in the next five years? This is coupled with the increasing connectivity of users through IoT devices.
What does this translate into?
The above-mentioned statistics point towards the increasing information through IoT devices. This growth in connectivity means a further increase in unstructured data, which means the importance of AI to turn that data into structured information will continue to increase as years go by.
Modern Marketing Will Not Survive Without AI Integration for Big Data
Becoming a data-driven enterprise requires major overhauling, which starts with the structuring and analysis of Big Data.
It is high time for businesspeople and key decision-makers to start working on Big Data and its analysis through AI. Start developing modern marketing strategies that disrupt the digital arena and allows you to acquire a leading edge over the competition.
However, shifting from locally derived data to an AI-driven data solution is a major transformation that may require reconstructing the entire organizational process for good.
In A Nutshell
AI integration for Big Data is here to stay. It is only a matter of who adapts it and how quickly are the modern marketing strategies implemented. The key is to have a data-driven approach and making your next move based on a detailed AI-generated analysis for target precision.
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