Skip to main content

Big Data is better Data.

Big Data refers to the enormous amount of data that cannot be stored or processed with the traditional approach in a given time frame. We usually refer to the term big data as the data which is in Gigabytes/ Terabytes or Petabytes or anything larger in size, but this does not define the term 'Big Data' completely. For instance, let's say we have 10 TB of image files all in a different format on which some processing needs to be done like resizing, retouching or enhancing these images over a given time frame, so if we use the traditional approach to process these images it would not be accomplished over the given time frame as the computing speed is not sufficient of the traditional approach to process this much amount of data. This type of data can be referred to as 'BIG DATA'. There is indeed a lot of hype around the term 'Big Data' and its an essential tool for every organisation to advance. Obviously, with more data comes more opportunities for a company to grow or compete against their competitors. 

Image Source: Statista, Wired.

The term was first coined in the 1990s and gained more momentum in the early 2000s. Big Data is also been characterized by using the three V's.

Volume: This refers to the amount of data being generated and stored covering all the potential insights of the consumer.

Velocity: This refers to the speed at which data is collected, processed, analysed to meet the challenges. Big Data is available in real-time and must be handled promptly.

Variety: Data can come in any format- Likes, videos, images, social media share, website visits, order purchased i.e it can be from structured, numeric to unstructured format.

The importance of Big data is not only that it is available in huge amount, but how you utilize this data and utilizing this data properly can lead to reducing time and cost, to enhance the products or to minimise the risk factor and to promote the business growth.

References : 

SAS Insights (2019), Big Data: What it is and why it matters, SAS.com. Available at: https://www.sas.com/en_ie/insights/big-data/what-is-big-data.html (Accessed: 24 January 2020).

Oracle Resources (2019), What Is Big Data? Available at: https://www.oracle.com/ie/big-data/guide/what-is-big-data.html (Accessed: 24 January 2020).


Comments

  1. Very True. Big data has become essential for businesses to sustain growth.

    ReplyDelete
  2. You've summarised the entire topic in a very engaging manner. Great job!

    ReplyDelete
  3. True buddy Big Data is better Data for various reasons (Y)

    ReplyDelete
  4. Nicely framed summary of the topic "BIG DATA" and its importance in current industrial market.

    ReplyDelete
  5. Image speaks about "Big Data",it's really big thing.
    Well described.

    ReplyDelete

Post a Comment

Popular posts from this blog

Student Details

Subject Name: Data and Digital Marketing Analytics Subject Code: B9DM105 Lecturer Name: Naomi Kendal Student Name: Tarun Gahlot Student Number: 10521043 Assignment Title: Publishing 6 Blog Posts and analyzing it using Google Analytics Blog URL:  https://dbsserialblogger.blogspot.com/

Value in Big Data for Marketing

The term Value in Big data refers to the worth of data being collected or the process by which collected data can be turned into something valuable. If the data being collected can't be turned into value then it is useless for any organisation, although the potential value of big data is quite high. Storing terabytes of data is of no use unless it can be evaluated, rather extracting value from the bulk of data and using it for the improvement of a business. Big data can be used to deliver value in almost every aspect of a business. Big Data helps companies to understand their customers and serve them better. Big Data is used by many Government and Law agencies to fight terrorism and stop any cybercrime, thus improving security. Big giants like Amazon and NetFlix also use Big Data by extracting value from it and recommending customers things tailored to their interests using Predictive Analytics. Value in big data allows companies to optimize their processes just like uber can...

Benefits and Challenges of using Customer Data for marketing.

Using customer data is no new thing. Database Marketing is being used for several decades. Nowadays, marketers are more involved with data as the customer data is growing at an enormous amount and using data analytics, the insights extracted from the collected data is also growing exponentially. Using Database Marketing organisations can benefit in several ways :  A couple of decades ago, marketers used mass media marketing strategies (like TV's, Radio, etc) to create any sort of brand or product awareness. But now with the proper Customer Data Platform and analyzing the data efficiently marketers can maintain a clean and centralized record of the collected data also known as  Single Customer View  Marketing Database. Single Customer View refers to the process of collecting data from both online and offline sources and merging it to form a single customer profile. This Single Customer View profiling can be done based on website visit, purchase history, demographics a...