Why Organization Should Implement Big Data Analytics ?

First of all, it is big data and it is getting bigger each day. When talking about big data, those analytics guys means that you can now combine everything into anything for analytics. Before big data, it was business analytics where structured business propriety data are being combined together to yield insightful results, with big data, it involves social data analytics with business data analytics.

Secondly, technology for storage and cloud computing become cheaper.

Thirdly, it is time to make use of automation to deal with big data. Why shouldn't you read all data instead of trying to figure out which data is important to take note ? To do that is not easy, the tools must be generic enough to support multiple scenarios.

Many Benefits

There are many benefits which can be achieved out of big data analytics, these include.
  • Strategy derivation
  • Personalization
  • Real time
  • Automation
  • Predictive
  • Fast
  • Accurate
  • Data variety


In my opinion, enterprises are on the wait-and-see approach (refer to Malaysia Technology News). They wouldn't want to rush into buying something which can only last for a short period of time because the dynamism of big data is quite significant. One way to mitigate this is to cater for trial software.


The other big word besides big data is Hadoop now known as Apache Hadoop.

A software framework to support large data computation in a distributed environment. What this implies is that using the framework, one gets to run computing processes at different computers and different location as if it is running in the same machine.

This is in many ways, cloud computing enabler technology.

It supports petabytes of data.

It is written in Java and maintained by Apache Softare Foundation and distributed under the license of Apache License 2.0.

The core features of Hadoop include 1.) a higher level file system module which sits on top of cross platform operation systems, 2.) scheduler, 3.) fail-over, 4.) load balancing and 5.) clustering.

Hadoop was originally created by Doug Cutting who is an advocate and creator of open-source search technology. Much of its core technology was derived from Google's MapReduce and Google File System (GFS) papers.

More on Apache Hadoop.

Consumerization of IT

The other thing to take note is consumerization of IT trend in which we are seeing the merging of consumer IT and enterprise IT. This is actually not a bad thing overall, because end users will then have more choices for choosing the technology to solve their problems, such as sentimental analysis. I would think that this can potentially become the biggest driver for big data analytics.

Round Table Forum 10th May 2012

Enterprise IT News is organizing an upcoming round table forum on 'Advanced Analytics: Creative Deployment for Business Competitiveness'. Be the first 10 people to be chosen to attend this by invitation only event!

More on trends.