Data Driven Society

Use Big Data to Stay on the Wave

 4-MINUTE READ

Big Data is an opportunity that cannot be missed and an opportunity that has to be used wisely; otherwise you’ll be left behind the boat.

What is Big Data and
how to manage it?

Big Data is a powerful statistical tool. As business today is fully customer-oriented, brands are enrooted in daily life, and customer experience, hopes and wishes, lay deep in this huge amount of “ones” and “zeros”. With its help, visible and invisible consumer trends can be determined and used for business development. In other words, Big Data offers an opportunity to get inside customers' mind and head. But as brains are manipulating big volume of different information, changing, developing, improving, bringing out new pieces of knowledge, Big Data is storing it. And we have access to it.

Just a part of decision-
making process

Where there is a great power, there are great risks. Consequences of misreading customer behaviour can be disastrous. Big data is raw untouched numbers generated independently. Indeed, data does not speak by itself – it has a human voice. The challenge is for an IT specialist to extract, transform, load part of big data set and for managers to determine the trends, insights and make right decisions based on analyses.

Cooking truly
raw data

There are a lot of discussions on whether Big Data can replace traditional market research, where particular questions are asked to previously segmented audience. Alternatively, Big Data is to answer the questions that have not yet been asked, as it is fluid and dynamic flow of information generated independently. Since most of the electronic devices are shared and might be used by the whole household, not only by one particular person, it is impossible to determine the target audience in Big Data. Therefore, it is appropriate to say that Big Data measures devices, not people. Nevertheless, unstructured data comes at low cost, fast and in great volumes, which is described by Big Data’s 3Vs: Volume, Velocity and Variety. In order to get solid base with the most accurate data, mixed type of research has to be implemented. As expressed by McKinsey&Company service description, to develop deep customer understanding they employ a range of quantitative and qualitative marketing research approaches plus big data techniques that are both innovative and pragmatic.

Notwithstanding the need to analyse Big Data, it can be used by itself. Take a case of online services working close with social networks and using Big Data – they already show magnificent results. Namely, Amazon or EBay advertisements are already personalized and based on users previous searches. Google determines target group for ad campaigns based on users searches and personal information given when registering an account. And this is just few examples.

Big Data is not
a new thing

Moreover, Big Data has been existing for a while and has been causing lots of discussion even longer. It has arrived to every sphere of business and everyday life. It’s size, form and productivity speed are revolutionary. To put it into a perspective, in 2015 humanity produces more data in 2 days than throughout the all time until 2008. The variety of data shapes has expanded: texts, posts, blogs, images, videos, audios, geo-locations, – basically, every online action contributes to Big Data.

Insight box

Big Data shall transform from a word of unknown fear into a real science. Masters able to read, analyze and simplify the data will worth their weight in gold. 

#BigData #consumerexperience #competitiveadvantage #datamining #analysis

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About the category

Nowadays humanity produces twice as much data as through all the time till 2007. Existence of massive volume of structured and unstructured difficult to process data is the game changer. Big Data is a statistical instrument with potential to improve world’s operations, increase its speed, make more intelligent decisions, and, consequently, forecast the future.

Punda investigates how Big Data influences on our daily life and business environment, which obstacles does it bring and ways to overtake them.

Eventually, world turns to data-driven society. It is essential to know how to operate and use the data we produce.

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