Effective communication is a fundamental skill for those who work with data , and data is now essential to communication. Below, we provide a brief overview of this context.
Some interesting facts about the world of data
As we approach the peak of the digital age, the production of data and information is a constant phenomenon of immense proportions. From the simplest to the most complex, every action in a digital environment leaves a trace that can be interpreted through data analytics; and to try to grasp the sheer volume of data we produce, it may be helpful to consider a few figures.
In the article “How Much Data Do We Create Every Day? The Mind-Blowing Stats Everyone Should Read,” published in 2018 by Forbes, for example, it is stated that we generate an estimated 2.5 quintillion (one million quadrillion) bytes of new data every day, and it is estimated that 90% of all data in the history of humanity was created in just the last two years.
With regard to communication, the same article provides some interesting statistics on the volume of communication we engage in every 60 seconds in digital environments.
Every minute, around the world:
- More than 16 million text messages are sent
- More than 156 million emails are sent
- More than 15,000 GIFs are sent via Facebook Messenger
- More than 103,447,520 spam emails are sent
- More than 154,200 Skype calls are made
What's more: if we consider the date these figures were published, we can safely say that they are significantly higher today. Furthermore, according to data from IDC and Statista, the volume of data creation and consumption will continue to rise in the future (and, with the imminent arrival of the metaverse, there is no indication that this trend will change):
- 2022 – 94 zettabytes
- 2023 – 118 zettabytes
- 2024 – 149 zettabytes
Analyzing this data offers significant competitive advantages, which are particularly relevant in today’s hyperglobalized and hypercompetitive environment, where digital communication plays a central role.
Three Ways Data Analytics Enhances Communication and Communication Strategies
Below are some of the ways in which data analytics is particularly relevant.
1. It allows you to create engaging content
In the age of data, the vast amount of information we as users must manage every day can be overwhelming. In this context, standing out with the right messages is crucial to achieving visibility through communication.
Data data analytics, in this sense, allows us to understand the interests and preferences of a specific audience based on very specific parameters and, using this information, to create content that is more engaging, effective, and relevant to that audience. And creating value for users and audiences through the production, publication, and distribution of content is the very essence of the internet. Since Bill Gates first suggested this in 1996 when he stated that on the web “content is king,” many things have changed—except for the relevance of valuable content.
2. Provides in-depth market insights
Market research is the very foundation of any communication strategy. In this regard, data analysis makes it possible to distinguish between relevant and irrelevant information within large datasets. Delving deeply into a specific industry sector allows us to understand audiences and tailor communication strategies to drive innovation.
https://www.youtube.com/watch?v=p3kPsi2se0E
Data analysis allows you to identify an ideal customer or define a target audience so you can tailor your messaging accordingly. Finding the right niche and crafting a message that resonates with that audience is key to building brand trust and fostering audience loyalty.
3. Creates competitive advantages
Regardless of the industry or sector, in the age of data and in a hyper-globalized world driven by immediacy, competition is an inescapable constant. Remaining relevant in such an environment necessarily involves driving innovation based on relevant and concrete data.
Through data analysis, it is not only possible to generate insights into an audience’s demographics and characteristics, but also to identify, for example, the key drivers behind the success stories of rival companies, thereby enabling businesses to adapt their strategies and optimize their methods to produce better results. In this way, data analysis generates a variety of competitive advantages.
Social Media Analytics
The digital ecosystems that have emerged from social media now represent one of the most important platforms for communication, marketing, and advertising. This is largely due to the significance of the data and information generated there.
As the study notes The Role of Data Analytics in Maintaining Efficient Communication with Consumers Through Social Media Marketing, published in 2021 by Dr. Irakli Abashidze of Grigol Robakidze University, data analytics on social media is an extremely important aspect of maintaining communication between brands and consumers.
It can be used to make decisionsthat offer a wide range of benefits for businesses, enhance competitiveness, and foster creativity.
- You might also find it interesting to read: “What Is Creativity and How to Develop It”
The level of communication generated in these environments is such that companies can collect vast amounts of data on consumers. Every interaction (engagement) or other type of behavior or action by consumers unintentionally generates various kinds of information about themselves and their consumption habits.
The more time a person spends on social media and the more actively they engage, the more data brands collect, providing companies with a valuable business resource: information.
Why Study Communication and Data Analytics
Today, information is one of the most valuable assets available to brands. In this regard, social media is one of the primary sources of such assets, as it can be considered an endless source of consumer data.
https://www.youtube.com/watch?v=iBZD_Ti5qbg
However, collecting consumer data is only the first step in the process. To turn the collected data into a tool for optimizing communication and strategic decision-making, it must be properly processed and analyzed.
Communication is a key factor in every aspect of analytics and data science. Every data analyst must know how to communicate their findings and recommendations, especially when conveying the value of that information to colleagues who lack technical training.
This may include senior management, other departments within a company, and, of course, current and potential clients. Therefore, performing professionally in data analytics requires strong communication skills.
This is where professional training in data analytics and communication becomes necessary.