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(Big) Data infographic - EnjoyDigitAll by BNP Paribas

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Big Data is a concept that has become popular since 2012 to
express the exponential growth of the data to be processed.
These big data go beyond intuition and human analytical abilities. They require new tools to store, query, process and view information.

Published in: Data & Analytics

(Big) Data infographic - EnjoyDigitAll by BNP Paribas

  1. 1. by (big)DATA? Big Data is a concept that has become popular since 2012 to express the exponential growth of the data to be processed. These big data go beyond intuition and human analytical abilities. They require new tools to store, query, process and view information. The masses of data to be processed are constantly increasing. More and more, data collection, analysis and use must be done in real time. It's about focusing on valid and actionable data. The reliability of data is threatened by declarative behaviors (forms), by the multiplication of data formats and by bots activity and false profiles. VOLUME VELOCITY VARIETY VERACITY VALUE We often understand the dimensions of Big Data thanks to the 5V : The data are varied and not always structured (Social networks data for example). 90% of data is "unstructured" DATA FLOWS DEVELOPMENT Unlocking the Mysteries of Data 2013 : 28 875Go/sec 2018 : 50000Go/sec 1992 : 100Go/day 2002 : 100Go/sec 1997 : 100Go/hour WWW Structured DATA Structured data are organized and classified information to facilitate their reading and processing. Your customer databases are structured data. Date of birth Adress Loyalty Transactions NameAmounts Semi-structured data is an intermediate form. They're not organized in a complex way that allows sophisticated access and analysis; However, some information may be associated with them, such as metadata tags, which allow the addressing of the elements contained therein. Unstructured data are not organized in a format that allows to be access and process easily. In fact, few data are completely unstructured. Even elements often considered unstructured, such as documents and images, are structured to some extent. A Word document is generally considered as a set of unstructured data. Semi / Non-Structured DATA Products Reviews Tweets Likes Images, etc... 90% OF THE CURRENTLY AVAILABLE DATA WERE CREATED THE PAST TWO YEARS! 2000 20201970 Data analysis is the part of Data Science that dissects raw data by applying algorithms. Data analysts proceed by inference: from well- known premises to new conclusions in order to improve systems and decision-making. ANALYTICS DATA WHAT TO DO WITH ALL THESE DATA? We can distinguish, without losing the complexity of uses, two great potentials: Linked to the exploitation of the collected information in order to understand a complex target or to create corpus of information improving the algorithms of AI... INFORMATIONINFORMATION Artificial Intelligence INSIGHT & E-REPUTATION SEGMENTATION, PROFILING, TARGETING BIG DATA Linked to the data exploitation to improve of the performances for example with a global control panel or by carrying out specific actions of optimization! PERFORMANCEPERFORMANCE OPTIMIZATION DASHBOARD (tracking ROI, RTB programmatic...) DATA S C I E N C E D A T A Designed by by Sources : Definitions-Marketing.com, Le Big Data au Quotidien - Vouchercloud.fr, « United Nations Population Division » - Organisation des Nation Unies, Lexique - Nordnet.com SimpliLearn.com, Wikipedia.fr, FlatIcon.com, « Données Semi-Struturées » - LeMagIT.fr

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