Steps to Create Psychological Profile via Data Processing

It’s really a hard going to scale up. You need to push your competitors at the back foot. At the same time, you must play your business inning from the front foot. It’s the golden rule to win in any trade. For becoming a forerunner, you need to have psychological profiles of your customers.

This kind of profiling is famous for scanning the offenders. The surveillance agency detects the character, behavior, interest and many other attributes of the suspects. And finally, it wraps up at concluding whether or not the person is an offender. Kogan of Cambridge Analytica (CA) emerged himself as the master of this art. Although he is under fire for handing over the sensitive details to the third party yet, his stronghold over data processing for the psychological profiling is outstanding.

The modern digital space has its own definition. In the nutshell, it spotlights the personality and behavior of the target audience. Later on, the analysts build up your own strategies to build up opinions in your favour.

  • Know your aim:

By keeping eyes on your goal, you can zoom in to have better vision. Facebook knows how crucial its audience is and so is its information. Therefore, it blankets the user information. As you download any app that allows you through the FB account, the app review process runs automatically. It asks for the justification over why the app owner is looking for it and how he is going to use it. The iconic social media network knows the worth of that data. It equally understands how it can be converted into an opinion that could sabotage no less than a nuclear bomb. The recent accusation over the CA is its finest example.

  • Identify resources:

You can’t hit the bull’s eye with a blindfold covering. A skyscraper can’t be built unless it has the concrete layout and the ideal building materials. If the market research is supposed to be that skyscraper, various data processing tools portray its funnels. Those funnels filter out the data sets that become a decision or business intelligence.

Matthew Oczkowski, the head of the CA, relied on the licenced data vendors for extracting demographics and geographies. Also, he drilled out the exclusive data via exclusive internal surveys & research. On the whole, the collated data delivered exclusive patterns of relationship that none other has ever traced.

  • Start research:

The research makes sure the delivery of untapped patterns. However, the big data and internal data have been present for years. But, the patterns that prove path-breaking are spotlighted through the research. And then, the voice to say what and to whom is evolved.

Kogan exploited approximately 2,70,000 Facebook users’ data. His app thisisyourdigitallife mirrored the personality prediction. The city, the preferred content, and more limited information completed his target list of the data. On the bricks of that data, his client CA and Christopher Wylie of Eunoia Technologies created the psychological profiling of the voters in the USA.  Consequently, Donald Trump won the presidential elections.

  • Evaluate accuracy & behavior:

The niche-based data unearth the contextual information. But, they can’t communicate and motivate the audience. You can have a sneak peek into its preferences, interest and behavior. Later on, you need to run an accuracy test to detect whether or not they are accurate. And also, you need to extract the meaning underlying its behavior. For instance, what does the user’s instinct indicate if he/she visits the same webpage (let’s say, Paris Tour)? Obviously, it would reveal the visitor’s intention of travelling that place.

  • Analyze:

Analysis is the key to potential growth provided it should be accurate.After the shocking revelation of the CA scam, the Facebook owner was under fire. Even, Whatsapp owner Brian Acton publicly announced to delete the FB. Mark Zuckerberg, immediately, analyzed the situation. He came with an open warning to ban those developers who have misused the platform for pulling out personally identifiable information.

Its intensive analysis founded a future strategy of changing its login process. Now, its login would avail the name, profile photo and email address of the app downloader. The other information will be available on permission from the FB itself. Even, it came up with the bug bounty programme to report for the misuse of the user’s data.

The aforementioned decisions are an outcome of the intensive analysis. Now, it would focus on psychological profiling of the app developers as well to avert the advent of such scams again.