The shortest distance from Data to Intelligence is through Analytics.

02:43 2 Comments

You log in to various social platforms, and insert your credentials -That is data. You add your contact details, pay bills, in fact, all that you do online is recorded and is cumulatively called big data. The moment we enter the digital sphere, everything you type is gulped down by the machine, which later produces all the information as and when required. 

The most interesting thing about data is, it is like air, to be more accurate, its digital air, spread everywhere. From your mobile phones to internet web browser, all the information is up there and can be consumed in umpteen number of ways and time. Just piling on the information is not data, it’s big only when it is useful and has some credentialing to back it up. 

It is not an easy task to understand data, in fact, there are many global certification bodies hovering to enter the big business and provide professional certification to validate the most factual data provided by data scientist. Thanks to professional certification, aspiring data scientist have found their base. 

 But then there are verticals which define these data
1.    Big Data
2.    Data Science
3.    Data Analytics
To elaborate and make it more meaningful, here’s an explanation to give you the right kind of vibe about these three big terminologies of Data. 

BIG DATA – As the name suggests, the data is huge, rather humongous. It is defined by three V’s – namely, Volume, Velocity, Variety, and Value. This data helps to analyze the behavior and predict the trends and patterns that will be helpful in near future. Retail, Communication, financial services industries heavily rely on Big Data. A big data specialist needs to hone up their statistical, 
mathematical and analytical skills to be validated by a professional certification body.

DATA SCIENCE – Data Science can be called a technique of decoding the data and extract the most relevant information from the complex and large pool of information stored. It processes all the big data and provides with better insights. It does involve using the various methodology in order to draw a result. And, in recent times there is a sudden surge in the demand of a data scientist who has a professional certification and can help the firms to decode big data

DATA ANALYTICS – Coming to Data analytics – to explain in simple word, it is like a research or survey done which withdraws the end result.  But the tough part is they withdraw result not only from the structure but also unstructured and complex data. Once a company knows, what is driving the crowd to take the final plunge of making a purchase, they can take a better business decision. But analyzing of data is surely not an easy task, only few can excel in it. 

Those gifted with this flair, yet unrecognized can opt to get their credentials from a professional certification body. 

Undoubtedly, data is everywhere, but very few possess the knowledge to use it in their stride. It is high time that individuals and industries get more professionals on their side to sail through the storm that is coming up with data getting bigger. It is because of the high demand that Global certification industries are also experiencing a boom, which in a way or other is helping everyone connected on the digital sphere to grow.


  1. Very well said! Nice article!

  2. You actually got the idea correct man. Entirely agree with the fact.