Big Data Analytics

We already overloaded with data and “Big Data Analytics” (BDA) is coming your way whether you wish it or not, regardless of the nature of your work, profession and business.

Many BI, Database and Data Visualization companies are already working on BDA-related functionality and products and they have a large cooperation and support from research community. Big Data Analytics is the newest and the largest reason for using Data Visualization and Business Intelligence (BI) tools: we are witnessing the rapidly growing amount of data and this cannot be explored, analyzed and utilized without a Visualization of Data. Practical Computer Applications (PCA) provides expertise in end to end database system design and development from structuring and managing Bid Data to Data Visualization for end users.

Market research firm IDC said that in 2008 the global digital output was 180 exabytes (1 exabyte is a 1 billion gigabytes)! According to IBM, in 2010 we created 2.5 exabytes of data every day and “90% of the data in the world today has been created in the last two years alone”. In 2011 world will produce almost 2000 exabytes (that is why we call it Big Data) and in 2020 it may reach 35,000 exabytes! This Big Data comes unstructured and structured and streams with speed  from everywhere: from climate sensors, posts to social media sites, digital pictures and videos posted online, transaction records of online purchases, and from cell phone GPS signals etc.

A new generation of BI tools and new technologies for Data Analytics can give businesses a competitive advantage and enable users to collect, store, access, visualize, analyze and interact with much larger data sets (petabytes) and as a result, they are helping to create new business opportunities. These technology and tools are often very complex and companies need experts and consulting services like PCA to integrate them with real business workflow.

Big Data Analytics is solving a huge back-end problem of managing large amounts of data, while users interact with front-end and are concerned about trends, outliers, clusters, patterns, drill-downs and other visually intensive data phenomena. However, ROI can be increased if and when BDA technologies are used together and as supporting tools to the Data Visualization tools which are a front-end for business users.

Contact PCA for help with your Big Data Analysis