BIG DATA – 3 Things no one says

Big data-driven strategies are becoming very crucial and important for businesses to further their growth. Due to this, big data acquisition has become a norm for well-known companies. How do big and small data affect businesses and other agencies? Considering the traditional way of securing files and information, big data requires a paperless filing system. This way, companies can become more successful and advantageous in data privacy.

When talking about substantial analysis, it is undeniable that data utilization has epic contributions to a company’s growth in the long run. Hence, the influence of big data is an opportunity to innovate products that customers will hold on to. Let us look at three key elements that are often overlooked by companies.

The data users

Decision-making is very essential in strategizing your marketing style and this needs reliable and sizable data. Say, for example, there are 30 people out of your 100 customers who prefer courgettes to aubergines. In order to increase your turnover, it does not mean that you have to offer more varieties of courgettes to your customers. In other words, the customer needs to keep changing and elevating from time to time. It means, unless your company has already been stabilized in the digital economy supported by many loyal customers, you will have to buy the data you need.

An example of how much one has to shell out in order to buy data from one of the major platforms. Listed below are the annual rates that you can base on how much data costs:

In the game of big data, almost 90% of the decision-makers and companies wait for the information to show up, instead of actually making efforts to get out there on the field and collecting it. The real danger in such a situation is that the gap

between the big players and the smaller ones keep getting wider. It is because smaller players actually make an effort to gather relevant data.

Innovation with Big Data

Too much information collected and registered can curb creativity and cause repetition. For example, Netflix is a popular platform for streaming series of entertainment and documentaries. They were known to create content based on what was preferred by the consumers they were catering to. This also initially led to a rise of subscribers on the platform. But then, based on what data they collected, all of their content started to become repetitive, and innovation started going downhill. When people start improving on something that is already existing, the chance for something new being created slowly dims away.

Imagine history that keeps on repeating itself, no innovation or any alterations are generated. Improving, remodelling, adding, name all the conventional strategies that you can but introducing something that is new and innovative based on relevant data utilization is golden.

Resposible data utilization

Customers must look at the companies they trust as goal-oriented with proper goal setting. A company can acquire big data anytime. However, it is how they process the data adds value to it, otherwise, it is just a huge bunch of numbers. The way you translate it, analyse it and classify it will affect your outcome eventually. So there has to be a human intervention when it comes to pre-classifying data before analysing it.

Because data is generic and raw, it needs to be classified and segregated keeping in mind the final goal. There should be a good balance between machine and human interference.

Human error is unavoidable, but unethical behaviours can also lead to a false sense of goal achievement. The goal of big data usage should not be based solely to feed consumerism but to create a better world.

Take note

Data is available anytime and everywhere. This element shall begin replacing old ways of economics and business insiders. And when that day comes, the decision will be based on evaluating big data to make a brighter future for all humanity.

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