Financier and CEO magnate Douglas Merrill once said, “With too little data, you won’t be able to make any conclusions that you trust. With loads of data you will find relationships that aren’t real… Big data isn’t about bits, it’s about talent.” According to a recent infographic released by IT consulting company iconicmind.com, Merrill is onto something -- research shows that big data lends a big hand in the marketing world!
The recent LinkedIn article titled, “Big Data: What Does it Really Mean?” discusses
the heavy influence of big data mediums: “From investing and retail
spending, to Web browsing, social media, and mobile phones, it's estimated that
90 percent of all data in use today have been accumulated within just the last
two years!”
So just what exactly constitutes “big data?” Simply put, big data
refers to information’s ever-increasing volume, velocity, variety, variability
and complexity. The advent of progressive, human activity has led to a
staggering acceleration of generated data, however the collection of these data sets have become difficult to process using on-hand database management tools or traditional data processing applications.
The challenge therefore comes with storing and analyzing huge data
sets to support a superior level of decision-making that drives accuracy, time
management, customer segmentation and real-time marketing -- and its demand
cannot be denied. It is estimated that over the next three years, there will be
a 60 percent increase on marketing analytics.
The current value in 2013 for the big data industry is $18.1
billion, with projections expected to nearly triple in 2017 to an estimated $47
billion! We can thank consumer consumption for such high demands of big
data analytics. It’s estimated that three billion people worldwide create eight
zettabytes of data; yes -- zettabytes. That’s 1021, or one
sextillion. That’s a lot ‘0’ data!
As a result, marketers are coming to terms with how to use big
data and analytics to better target consumers. In doing so, they often face
multiple challenges at increasing rates, such as resolving the capture,
curation, storage, search, sharing, transfer, analysis and visualization of
large amounts of data.
Recently, new capabilities are taking data analytics to the next
level; enabling marketers to utilize big data sets in rapid and cost-efficient
ways by implementing the following processes: distributed processing, cloud
storage, and data management strategies.
The following statistics from a 2013 survey released
by computer software corporation Teradata highlights the benefits of
implementing big data marketing strategies:
- 58% of survey respondents believe making more accurate decisions is a benefit of basing those decisions on data
- 50% of marketers say that marketing and IT are not strategic partners in their company
- 40% of marketers gave their department a grade of C or lower for using data to drive marketing
- 71% of marketers plan to implement a Big Data analytics solution in the next two years
- Less than 10% of companies use the data they have in a systematic way
Demographic data accounts for 73% of data-driven
marketing, versus transactional data, which represents 38% of
data-driven marketing. 71& of marketers will implement a big data
analytics solution over the next two years and yet 50% of them say that IT is not a strategic partner. To truly benefit from big data, it's important for marketing to form a strategic partnership with IT or some other team that can actually implement tools to utilize the data to mine patterns and trends, which can then help marketing with future campaigns and strategies.
Visit Maryland computer consulting firm Iconic Mind for a bevy of consulting options to meet your marketing demands!
Visit Maryland computer consulting firm Iconic Mind for a bevy of consulting options to meet your marketing demands!
Sources:
http://www.linkedin.com/today/post/article/20130531112407-17102372-big-data-what-does-it-really-mean
http://www.theguardian.com/media-network/media-network-blog/2013/jun/12/what-role-big-data-marketing

