Big Marketing opportunity in real time by Large amount data
Most selling and risk systems still supply information adore it was pre 2003. Yet, the chance to refine strategic and operational higher cognitive process by taking full advantage of "Large Data" is compelling.
Within this capacious amount of data and Information is valuable, significant and existing of data. This is the maiden world of "Big Data" and the structured data being generated can be utilize in real-time to generate good opportunities.
Many company still clash inside with connecting all the dots within this innumerable of data. This is where the brooding behind Data-as-a-Service comes into play. DaaS unlocks a beamy new world of chances- and the best part about it is that this data asset can be fed immediately into your compny's CRM software on a consecutive basis.
To really understand the potential of using Big Data, it is important to understand where all this large amount of data is coming from. The structured informational data being generated from Big Data can be devided into six distinct categories:
Web Mining: Data compiled by mining the open web. This includes automated procedure of searching and extracting data from Web documents and servers, including mining unstructured data. This can be information extracted from server logs and browser activity, information extracted about the links and structure of a site, or information extracted from page content and documents.
Search Information: Data available as a result of browser activity tracking search and intent behavior. This data also identifies digital audiences through onboarding (matching consumers to their online IDs).
Social Media: The average global Internet user spends two and a half hours daily on social media. A vast array of data is available on personal preferences, likes, "check-ins", shares, and comments users are making.
Crowd Sourcing: This is collective intelligence gathered from the public. Data is compiled from multiple sources or large communities of people, including forums, surveys, polls, and other types of user-generated media.
Transactional: Data that is created when organizations conduct business, and can be financial, logistical or any related process involving activities such as purchases, requests, insurance claims, deposits, withdrawals, flight reservations, credit card purchases, etc.
Mobile: Mobile data is driving the largest surge in data volume. It isn't only a function of smartphone penetration and consumer usage patterns. The data is also created by apps or other services working in the background.
With all this data being stored every day, there is HUGE potential for BIG opportunities. And it no longer needs to be mined at the internal organizational-level. By using Hadoop Analytics, insights that have already been mined and structured into usable format can be fed directly into your CRM and operational systems on a continual basis.
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