Telematics and Big Data: Next Generation Automotive Technology

Many marketing and risk systems still source data like it was pre 2003. Yet, the possibility to improve strategic and operational decision making by taking full good thing about "Big Data" is compelling.

Within this huge amount Gregory Labrousse details is valuable and available data. This specific is the new world of "Big Data" and the information being created can be taken in real-time to generate previously unimagined opportunities.

Many organizations still struggle internally with connecting all the dots within this myriad of data. This is where the thinking behind (DaaS) Data-as-a-Service comes into play. DaaS unlocks a vast new world of opportunities - and the best part about it is that this data asset can be fed instantly into the organization's CRM systems on the continual basis.

To really be familiar with potential of using Big Data, it is important to understand where this all data is coming from. The info being made from Big Data can be segmented into half a dozen specific categories:

Web Mining: Data published by mining the open web. This includes automated processes of finding and extracting information from Web documents and machines, including mining unstructured data. This can be information extracted from server wood logs and browser activity, information extracted about the backlinks and structure of a site, or information removed from page content and documents.

Search Information: Information available consequently of browser activity tracking search and intent behavior. This data also identifies digital followers through onboarding (matching consumers to their online IDs).

Social Media: The average global Internet user consumes two and a half hours daily on social media. A new vast array of data is available on personal preferences, likes, "check-ins", gives, and comments users are making.

Crowd Sourcing: This is collective intelligence obtained from the public. Data is compiled from multiple sources or large communities of people, including forums, studies, polls, and other types of user-generated media.

Transactional: Data that is made when organizations conduct business, and can be financial, logistical or any type of related process concerning activities such as buys, requests, insurance claims, build up, withdrawals, flight reservations, credit card purchases, etc.

Cell phone: Mobile data is generating the major surge in data volume. It is not only a function of smartphone penetration and consumer utilization patterns. The data is also created by programs or other services working in the background.