The little Highlighted side of Big Data & Data Management

Big Data is a dual combination of Big Data Storage and Big Data Analytics. The first part can be handled by Virtualization and Infrastructure while the second part is more inclined towards Data Management which is a mixture of ECM + MDM + BI + SOA

The largest basis of perplexity starts from the words like Big Data storage and Big Data analytics and their line of intersection and disconnection. The idiom “Big Data” derived from within the open source community world.  There is an attempt to put Analytics on the top of the Big Data to get clear insights of business processes, business models both at the department wise and enterprise wise. It would result in faster and more scalable technology enabled model than traditional data warehousing. The bottom-line was to extract value from the enormous amounts of unstructured data produced daily by web users. At a very basic level, Big Data storage is just storage device that handles plethora of data for applications that create and produce huge volumes and dimensions of unstructured data fueling data growth at the enterprise level and sometimes at the division or department levels.

One of the biggest producer and consumer of Data today are the large Enterprise Applications like; CRM, customer relationship management; ERP, enterprise resource planning;  or SCM, supply chain management and companies keep of spending millions of dollar from investment to development and finally to maintenance and support. The Data stored in the these applications not to bring down the Operational Efficiencies or increase IT Agility but also to gain Business Intelligence from the insights and information of the quality of Data for which now MDM, Master Data Management is becoming quintessential to ensure the Golden view of Records. Further to that, you can learn about the preferences of an individual customer and personalize your offerings for that particular customer.

Industry Leaders should set up a framework by which the Data – which is stored in all applications, are very fine grained and are looked at Enterprise level, so that all CXO & decision makers would be able to take advantage and draw inflection and coherence of making different business and customer proposition to increase the Customer Satisfaction and Customer Loyalty