Question: 4. Identify three decisions that were improved by using big data 1. What kinds of organizations are most likely to need big data management and

4. Identify three decisions that were improved by using big data
1. What kinds of organizations are most likely to need big data management and analytical tools? Why?
please answer these question with much details, please! 4. Identify three decisions that were improved by
4. Identify three decisions that were improved by
INTERACTIVE SESSION: TECHNOLOGY BIG DATA, BIG REWARDS Today's companies are dealing with an avalanche of records and 3 billion publicatiesystems data from social media, scarch, and sensors as well as from traditional sources. In 2012, the amount of digital search capabilities allow the NYPD y cam information generated is expected to reach data from any of the date song information on criminals such as photo with details of bytes which is the equivalent to stack at books from pust offenses are with can be visual the sun to the planet Muto and back Making sense of 'big data has become one of the primary challenges to other crime scene for corporations of all shapes and stres, but it also rep Other organizations are using the data to go resents the opportunities How are companies cur green, or in the case of estaba rently taking advantage of big data opportunities? HAFUFTIGT Dark Vestes is the world The British Library.ud to adapt to handle big data fast windener.com with 3000 Every year visitors to the British Library Website wind turbines across the Lord perform over bon searches, and the library is also responsible for preserving British Web sites that no turbines for optimal wind Area longer exist but need to be preserved for historical without enough wind will notcrate the cry purpock such as the Web sites for prest politicians power but areas with much woda "Thasonal dat mement methods proved inades the tune estas como base date to que toch millions of these web pages and los determine the best spot to install their turbines any loss couldn't extract usctul knowledge To gather data on prospective turbine location, ich soat So the British Library Vestas swindly combines data frutal partnered with a totalement his data slution weather long Witam citing to the challence BM Big Sheets is an init turne The company previous and library and more and visually ana provided information in a crid ter with each 1920 amounts on Web data deliver grid measuring 27 x 27 kilometmiles ing the Web For example, une Vestas cicers were able to bring the rolution can Result in a pie dart Sheets down to about 10 x 10 metafect to estab buit stop the Hadert can process Zith the edit wind flow pattemat particular loca Larguments of data and helemy on of creas that this Scans and deal law enforcement placement model is TIC area unor and third 10 times as much criminativity such as correlation between time data is the previous system and more power (epportunit nderaniata, orruckviews data management platform relationships (soe Chapter 4 between individuals The complemented a solution consisting and criminal Trials that would be difficult to of InfoSpher Bietights UNCOV let data Criminals and criminal a high-performance BM System.Date Organizations are incly the Internet She sight of software tools for conate and perpetrate that crimes New tools Donad powered by allowed pache Hadoon sihtechnologies and in wers and apply analytics to predict future crime creand the Commissa patterns. This means that we can and analytic and then with models become more proactive in its efforts to fight crime that it much more and and stop it before Vestax wind library cutente In New York City the Crime Center or data and indemand parameters city crime and criminals TM and the New Yor City on me wind and other com trench contacto Donatellite images.rpatial data and investigating this anomaly was the The company can now reduce the motion or wind data de Kilom (GR) chables Vestas krbinacement during mamra Thermo. velopment informating site nam Vestas customers to achinamon nestih much more quickly Commandati solat analyze conteniment Fine Girental giant Hero gather data from We-mail text Information is being collect the decom Moms Information Neartheless the trend towards big data shows namin much more likely that he data is only one con The company all of the data centrally do within cach branches sponse time to customer feedback and changes in sentimen. For example, by analysing data Ser Samuel and Data Unlock Business Me eine anary 2013 PS Barth, Main De What Every CI Need to Know CO may 12.10 Corporation Vest Turn Climate Capital with 2011 Corporation, stending and enhancing law enforce e capabilities How lig Data Giving Betallig and the Library and South Up to Arch the Wich Philadelphia during specific times of the day After

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