Big unstructured data

Big unstructured data

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Big unstructured data, from social media posts to email or images, is growing at an unprecedented pace. In accordance with an IBM Corp.’s study, the world generates 2.5 quintillion bytes of data per day from unstructured data sources like digital pics, online videos, social media publications, posts, etc.

These ‘unstructured data’ originated by digital interactions contain elements and embedded information within the messages which is valuable but hard to analyze with traditional tools by organizations and businesses.

In order to solve the problem, organizations have turned to a number of different software & tech solutions specially designed to search unstructured data and extract relevant information. One of the most important benefits of these tools is the capacity to collect information that can help a business succeed in a competitive environment.

Big unstructured data. Here are some big data application examples:

COSO
What is happening in social media?

COSO focused on creating a center of intelligent corporative contact for customers, so that they could easily interact with the company through social networks and in a totally integrated way with CRM. The software solution offered by COSO can get structured data from unstructured data thanks to: natural language processing, machine learning and sentiment analysis; moreover it can generate automatic answers. This application aims at the improvement of small and medium enterprises’ competitiveness. The solution involves ICTs adapted to the needed management of customers of small and medium enterprises of any sector.

ISAC
How satisfied are citizens?

ISAC is a virtual, intelligent, interactive and multichannel assistance service for citizens. ISAC’s tool management has created a new feature which shows a cloud of concepts, intuitive information that contains interests or concerns by citizens. This tool is able to show simple and graphical concepts more searched between specific dates, by this way, the most important aspects can be seen always. Thanks to all this information we can know the citizen satisfaction.
The goal of ISAC is to provide with an assistance service to citizens within every administration or company that could need it. To achieve this, this system contains all the needed functional tools to help citizens. It also takes into account all the stages of assistance to citizens, since the information is generated until it reaches citizens from any of the available channels.
By exploring the potentialities of machine learning and big data, ISAC involves the development of participative citizenship tools and Web 2.0, the usage of natural language and an intelligent search engine that allows citizens to find the answer to their questions.

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