4 Ways of How Outsourcing Data-Based Companies Use Big Data

Big data has key to know customers

Big data is an information repository. It’s vast; it’s broad and is turning a cash cow. A data analyst thoroughly studies its architecture. His keen observation traces patterns, trends and associations perfectly. Even, human behaviour and interactions are unearthed effortlessly. One needs not come one-on-one with the customers and ask what they prefer. Consequently, one can save money and effort conveniently. Big data stockpiles its formula.

But its sifting is not a cake walk. Most of the companies are naïve in digging it. Valuable data-chunks are the present need. So, how they should fulfill the need of the hour? Who has it will win the jackpot. This is the fact.

Big-data is echoing everywhere. Commercial world has heard its echo. But only a few corporate companies are using it efficiently. And its outcome reflects in their escalating success. The foremost position of Amazon, Snapdeal and Flipkart among other ecommerce companies epitomizes it.

So, how other companies can be this trend’s part? Emergence of outsourcing data extraction companies has doused this dilemma. Commercial entities have started moving to outsource data extraction services. By ad-hoc analysis, they gain miraculous creative ideas. Check below the best four out of them:       

Treat customers as ‘blue eyed boy’:  Customer is whom a brand serves. All strategies fall flat when the sale declines. Customers are regarded as creator of the sales. So, focus on them. It should be primary aim.

Take an account of Amazon. It’s a brand now; the outshining ecommerce giant. It attends customers as the cash cow. Its website, an e-Shop, sets an example by popping popular departments and the recommendations. The recommendations are not vague. It tracks the old purchase orders and browsing of the users. And then, it flashes products based on them.

It is forerunner in providing personalized customer experience. It’s efficient Customer Relationship Management (CRM) works progressively delivering message of new products. So, it beats the clock winning leads through zero expenditure on ad campaigns.

In marketing world, success follows on provided that the company focuses on customers primarily. Shopping seduces the customers. But the need is to convince them. And once they get satisfaction, they will become loyal.  

Consistency in Focus: Eye on target, success will follow up. Strife pays off for sure. But what if one has set many goals to achieve simultaneously? The attention diverges. So, accomplishing many goals becomes an uphill combat.

Online retailing kings are ideals. They bag success, huge revenue and popularity through consistent focus. Their CRM system collects millions records every day from across the world. The frequent sale-based messages on existing customers’ mobile phone can tell how quick and excellent they are. They follow up customers every time. And the backend support of customer care converts inquiry into sale. It also helps in improving.

Ad campaigns have potential to create leads. But if one fails in converting them, it’s waste. Thus, big-data is a gold mine. But the need is to focus perpetually.

Extract from Big Data: Big-data carries unprecedented information. Data based on science, games, entertainment, medicine, history and technology etc. constitute it. Digging any information on search engine pages shows evidences of its depth.

This is why, web scraping is breeding. This process of extracting static data from it is a proven hit. Google, the gigantic search engine, does it also. And it’s blooming leaps and bounds. According to Alexa, it ranks 1st. It is a global network linked to 3, 814, 549 websites and receives 40,000 queries per second on an average. And it process more than 3.5 billion searches per day.      

Market research companies sell success ideas through it. All in all, big-data has success mantra. But only expertise can dig it out.  

Utilize it perfectly: Data can produce information. But creative mind develops business intelligence. The data, itself, does not create but the analysts can do so. And timely execution lies in the hands of the entrepreneurs.

Let’s follow an example. A market research company delivered operation and function-based report to its client, a cosmetic brand. The analysis in the report recommended variations in cosmetic according to weather. The research was delivered on time but the recommended strategies were implemented one year later. Consequently, the company failed in harvesting estimated profit.

Thus, big-data actually works wonder but the need is to utilize it wisely.