Big Data Analysis

Big data analytics examines large amounts of data to uncover hidden patterns

Big Data Analysis Helps Organizations

How big is your data?

Big Data analytics is the process of collecting, organizing and analyzing large sets of data to discover patterns and other useful information. Big Data analytics can help organizations to better understand the information contained within the data and will also help identify the data that is most important to the business and future business decisions. Analysts working with Big Data typically want the knowledge that comes from analyzing the data.

In a nutshell, Big Data is the information owned by your company, obtained and processed through new techniques to produce value in the best way possible. Big Data is also special because it represents both significant information - which can open new doors - and the way this information is analyzed to help open those doors. Below are the reasons why Big Data is essential.

Why is big data analytics important for you?

  • Timely.
  • Accessible.
  • Holistic.
  • Trustworthy.
  • Relevant.
  • Secure.
  • Authoritative.
  • Actionable.

Traditionally, there was process of utilizing systems to extract, transform and load data into giant data warehouses that had business intelligence solutions built over them for reporting. Periodically, all the systems would backup and combine the data into a database where reports could be run and everyone could get insight into what was going on.

The problem was that the database technology simply couldn’t handle multiple, continuous streams of data. It couldn’t handle the volume of data. It couldn’t modify the incoming data in real-time. And reporting tools were lacking that couldn’t handle anything but a relational query on the back-end. Big Data solutions offer cloud hosting, highly indexed and optimized data structures, automatic archival and extraction capabilities, and reporting interfaces have been designed to provide more accurate analyses that enable businesses to make better decisions. The new benefits that big data analytics brings, are :

  • Speed.
  • Efficiency.

Few years ago, a business would have gathered information, run analytics and unearthed information that could be used for future decisions, today that business can identify insights for immediate decisions. The ability to work faster and stay agile, gives organizations a competitive edge they didn’t have before.

There is no doubt that high-performance analytics let’s do things which were never thought about before because the data volumes were just way too big. But with the commencement of Big Data Analytics, one can get timely insights to make decisions about opportunities, get precise answers for problems and uncover new growth opportunities, all while using IT resources more effectively.