Why is Data Conversion Essential in The Present Scenario?

EM Admin
Aug 8, 2018
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Are you aware of how technology is taking a leap to advancements?

The machine learning in association with artificial intelligence has replaced a human brain. Consider the case of the Google Duplex. It identifies that the machines could behave more like a human being. You can’t determine if it’s a machine or a human whom you’re having a dialog with.

But still, it didn’t pass through the epic Turing Test. The chat bot developers sweated out to convince the human judges. But eventually, it came out as an artificial voice.

So! How do these developers get the cue?

Simply saying, the data scientists crunch and capture data. They fuse them with the technology to let it be sensed and brainstormed as we do. It’s possible only when machines would start sensing instinctively. And, this would be possible when various cases go through the process of accurate data conversion.

The power of data is massive. It is comprised of solutions that reflect proximity to a human being. But still, you can’t group it under the human data. It’s a bit different. Have a look below what the human data is.

Human Data

If you see it from the lens of an analytical tool, human data is a set of dialogs. It’s textual, having no numeric and structure as happens in a machine language. If you look into an online form or a survey report, you would realize that it particularly paints a personality.

Take an example of Facebook. Your single message hides various elements, like location, time, date, browser/app (from where it is initialized) and server (where it passed through). These are the assets for the analysts who create a personality via them. But, if you see it from the eyes of a recipient, it’s just a set of letters and characters. He is interested in responding and reading rather than processing. The human data don’t need to keep all elements into account. Instead, it conveys the human instinct & personality.

On the flip side, devices, like Siri and Home, also mimic the human voice. However, its capabilities are limited but whatever you feed into their processor, they perfectly imitate it while processing a query.

How can this human data serve the corporate climate?

While getting through the online trading practices, you would come across the fact that the human data is a need of the hour. eCommerce won’t yield any profit unless its strategies are translated from the analytical data. Here again, data conversion comes into a pilot role.

Have a look on how data conversion helps to survive the corporate criticalities:

Retailers decimate profit initially:

Have you ever prompted to invest in the online deal that a startup offered?

It’s a tough decision. You can’t purchase from a debuting brand. It’s a kind of gambling if one is swayed away by the catchy offers in that ad. An online buyer comes in and out at least twice or thrice. And when the reviews and the number of purchases satisfy him deeply, then he sticks a bit. If he finds discount and loyalty bonus are there, he becomes a customer then.

It’s what the data conversion conveys. The analytical tools conclude his personality and preferences. Thereupon, the startup comes with the lucrative deals. Hence, sales occur.

Human is a product data:

The analytical tools act as identifiers. They spotlight the search results and pinpoint:

What did one search?
When did he buy?
Where did he buy?
What was the payment channel?
Where did shipping occur?

The analysts translate these queries and infuse their answers with the organizational data. While filtering through several algorithms, the predictions take rise. These projections shape up into future strategies.

Deal with unorganized data structure:

If an online retailer gets inquiries from e-chat, emails, CRM and many other channels, relying on only one source would be a stupidity. How could you ignore all sources except just one?

It’s an excellent idea to organize data sourcing from multiple ways separately. Analyze their results after a specific period. The analysis of converting leads would provide with what’s the most profitable way to generate revenue.

Daily production of big data:

The reality of future recommends spotting each and every channel of information. A customer can be pushed to raise a query if you know his behaviour and personality. The data come in from multiple sources, like sensors, Wi-Fi and even a music app. You need to identify the most profitable and scalable source that you can analyse easily.