Bigdata certainly is not new to all or maybe it is but definitely not scary. Big data is an obvious synonym to the same old data people have always used, and it’s not that big. 

Moreover, it’s something we should be accepting, not ignoring. Actually Big Data is compared to Tsunami but it’s an overflow that can be controlled in a proper way, by providing business insights and value. 

There is always so much confusion surrounding the term and all this because of misunderstandings and wrong perceptions some people and enterprises have. To understand the term Big data let’s get the meaning which says, it is a collection of data from traditional, manually collected and digital sources both inside and outside your company that represents a source for ongoing research, development and analysis. 

Some people tend to limit big data to digital inputs like web activities and social network communications; however we can’t leave out traditional data derived from product operation information, financial records and interaction platforms, such as customer service centers and information warehouses. All of that is big data, too, even though it may be small by the volume of digital data that’s now growing at an increasing rate.

While defining big data, the important part to understand is the mix of unstructured and multi-structured data that comprises the volume of information. Maybe there is lack of organizing to its requirement but they are also considerable responsible for its size and shape.
Now it’s important for every enterprise and needs to fully understand big data. What it means to them, what it can do for them, where it can take to – because data has its own standard and capabilities of driving the market expectancies.

Once we start dealing with big data, we will learn what we have been lacking and we will be inspired to take steps to resolve any problems we might encounter. We can use the insights that we gather at each step along the way to start improving our customer interaction strategies; that way, we will be able to put big data selling to work and immediately add more value to both offline and online interactions.