Challenges in Passive Data Collection For Business Research
Do you know that your favourite e-Shopping site taps your pan browsing experience?
Even, Google knows what you explored during a particular net session from which device. Yes, it’s absolutely true. It’s not a hyperbole.
From online merchants to search engines, everyone on the digital platform looks for specific datasets. The merchant community, closely, watches on your behavior, demographic and other specifics. The curious eyes of a researcher employ data extraction techniques. He delves into a massive data collection online for accomplishing his research goals.
Because every domain is digitized, the online data collection, including passive &active ones, registers a staggering growth. If you weigh both ones on a scale, the passive data appear in a role of growth hacker. Let’s have a quick look into the definition of the passive data.
Definition of Passive Data:
As its name suggests, the passive data is what you don’t ask for directly. But, you collect them by using indirect methods. Simply say, it’s an atypical method of data collection that challenges the tradition ways of data extraction.
The e-Commerce giants, if you talk in particular about, are rapidly employing online apps for extraction of data. However, they are not insightful, like surveys, which deliver the specifics about their consumers. But, you can’t understand what your customers intend through them. You have to exploit the passive methods. Although it was an uphill climb to let them opt in, yet their viability has hooked them.
The corporate world is in the urgent need of the technology that can tap into valuable & game-changing information. It’s possible, if you combine an advanced online data collection passively with increasingly powerful computing analytics.
But, it’s just like building castle in the air, if you underestimate the below mentioned challenges. They represent the downsides of the passive extraction methods.
Challenges in Passive Data Collection:
1. GDPR Restricts:
The execution of GDPR (General Data Protection Regulation) from 25th May, 2018 has made absolutely essential to reveal what information of your customers you track. A customer critically thinks about his privacy. But, when it comes to win discount coupons, they seem ready to compromise on.
Let’s say, you want to download an app. As you further the downloading, a popup flashes. It prompts you to accept its accessibility conditions. As you hit the accept button, you agree to compromise on your contacts and browsing history.
In the nutshell, the passive techniques of data extraction are no more seamlessly executable. The GDPR compliance has levied restrictions. Now, it’s punishable if you comb through your customer’s data for commercialization.
2. Aggregate rarely creates breakthroughs:
If you aim at catching insights of your customers in the aggregate, online passive data yields amazing results. But, as you narrow your research to catch the deeper and relevant insight, you need the specifics. It’s where this kind of data emerges not-so-valuable. You should have the support of absolute facts to make game-changing business decisions, which is missing in it.
3. Answers what, but not the why:
The collection of passive data focuses on what you should have for the research. But, making decision requires knowing the ‘why’ before shaping up. For instance, the Google Analytics can help you track how long a customer stayed on which page, what he browsed and what he did during his online experience on your website. But, it can’t mine data, which gives a cue to pull out a strategy for appreciating sales. It can’t help you to get the emotional, intellectual and preferential drivers. You have to seek the underlying context of that passive dataset.
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