{"id":4394,"date":"2019-07-23T14:34:06","date_gmt":"2019-07-23T12:34:06","guid":{"rendered":"http:\/\/www.pccube.com\/?page_id=4394"},"modified":"2020-02-19T16:34:32","modified_gmt":"2020-02-19T15:34:32","slug":"big-data","status":"publish","type":"page","link":"https:\/\/www.pccube.com\/en\/big-data\/","title":{"rendered":"Big Data"},"content":{"rendered":"

[vc_row][vc_column][rev_slider_vc alias=”bigdata_en” enable_paspartu=”no”][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/2″ css=”.vc_custom_1564148380745{padding-top: 5% !important;padding-bottom: 5% !important;padding-left: 10% !important;}” offset=”vc_hidden-md vc_hidden-sm vc_hidden-xs”][vc_column_text css=”.vc_custom_1564580870564{padding-top: 5% !important;}”]RESEARCH AND ANALYSIS<\/strong>[\/vc_column_text][vc_column_text]Market research<\/strong> and big data<\/strong> analysis are the foundations of many businesses. Despite having more figures and data<\/strong> available now than the past, just a small part is actually well-integrated and structured, or in other words legible This makes it increasingly complex to gather from the available data<\/strong>, relevant and useful knowledge to support decision-making processes.[\/vc_column_text][\/vc_column][vc_column width=”1\/2″ offset=”vc_hidden-md vc_hidden-sm vc_hidden-xs”][\/vc_column][\/vc_row][vc_row][vc_column css=”.vc_custom_1564148409076{padding-top: 5% !important;padding-right: 10% !important;padding-bottom: 5% !important;padding-left: 10% !important;}” offset=”vc_hidden-lg”][vc_column_text css=”.vc_custom_1564580953206{padding-top: 5% !important;}”]RESEARCH AND ANALYSIS<\/strong>[\/vc_column_text][vc_column_text]Market research<\/strong> and big data<\/strong> analysis are the foundations of many businesses. Despite having more figures and data<\/strong> available now than the past, just a small part is actually well-integrated and structured, or in other words legible This makes it increasingly complex to gather from the available data<\/strong>, relevant and useful knowledge to support decision-making processes.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=”2\/3″ css=”.vc_custom_1564149787185{padding-bottom: 10% !important;background-color: #eeeeee !important;}” offset=”vc_hidden-md vc_hidden-sm”][vc_column_text css=”.vc_custom_1564148105217{padding-top: 2% !important;padding-right: 2% !important;padding-left: 8% !important;}”]<\/p>\n

COGNITIVE COMPUTING &<\/strong> PREDICTIVE<\/strong>
\nANALYTICS<\/strong><\/h2>\n

[\/vc_column_text][vc_separator color=”custom” align=”align_left” border_width=”3″ el_width=”80″ accent_color=”#951b80″ css=”.vc_custom_1563956826048{padding-top: 1% !important;padding-right: 15% !important;padding-bottom: 1% !important;padding-left: 8% !important;}”][vc_column_text css=”.vc_custom_1582126458509{padding-right: 15% !important;padding-bottom: 8% !important;padding-left: 8% !important;}”]Cognitive computing is one of the most promising technologies for dealing with data analysis<\/strong>, capable of integrating, reading and interpreting large volumes of data from hundreds of different sources, using advanced data<\/strong> science models.
\nThrough predictive analytics<\/strong> tools we provide data mining solutions and Artificial Intelligence software capable of interpreting historical data, extracting regular patterns or trends that help institutions, organizations or companies to evaluate the status of their activities and to make optimal data-driven decisions.
\nAmong the main areas of application of our technologies, there are actuarial analyzes (actuarial statistics, forecast statistics), for which we carry out ad hoc reporting, and prevention cards (data analysis<\/strong> with planning of objectives related to prevention in the workplace), industrial accident research and technopathy).[\/vc_column_text][\/vc_column][vc_column width=”1\/3″ offset=”vc_hidden-md vc_hidden-sm”][\/vc_column][\/vc_row][vc_row][vc_column css=”.vc_custom_1564149800040{padding-bottom: 10% !important;background-color: #eeeeee !important;}” offset=”vc_hidden-lg vc_hidden-xs”][vc_column_text css=”.vc_custom_1564148105217{padding-top: 2% !important;padding-right: 2% !important;padding-left: 8% !important;}”]<\/p>\n

COGNITIVE COMPUTING &<\/strong> PREDICTIVE<\/strong>
\nANALYTICS<\/strong><\/h2>\n

[\/vc_column_text][vc_separator color=”custom” align=”align_left” border_width=”3″ el_width=”80″ accent_color=”#951b80″ css=”.vc_custom_1563956826048{padding-top: 1% !important;padding-right: 15% !important;padding-bottom: 1% !important;padding-left: 8% !important;}”][vc_column_text css=”.vc_custom_1582126466092{padding-right: 15% !important;padding-bottom: 8% !important;padding-left: 8% !important;}”]Cognitive computing is one of the most promising technologies for dealing with data analysis<\/strong>, capable of integrating, reading and interpreting large volumes of data from hundreds of different sources, using advanced data<\/strong> science models.
\nThrough predictive analytics<\/strong> tools we provide data mining solutions and Artificial Intelligence software capable of interpreting historical data, extracting regular patterns or trends that help institutions, organizations or companies to evaluate the status of their activities and to make optimal data-driven decisions.
\nAmong the main areas of application of our technologies, there are actuarial analyzes (actuarial statistics, forecast statistics), for which we carry out ad hoc reporting, and prevention cards (data analysis<\/strong> with planning of objectives related to prevention in the workplace), industrial accident research and technopathy).[\/vc_column_text][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1563957232199{padding-bottom: 5% !important;}”][vc_column width=”1\/4″][\/vc_column][vc_column width=”3\/4″ css=”.vc_custom_1564148990767{margin-top: -10% !important;background-color: #951b80 !important;}”][vc_column_text css=”.vc_custom_1564581091124{padding-top: 8% !important;padding-left: 10% !important;}”]<\/p>\n

UNIVERSITY RESEARCH<\/strong><\/h2>\n

[\/vc_column_text][vc_column_text css=”.vc_custom_1564581109698{padding-top: 1% !important;padding-right: 10% !important;padding-bottom: 10% !important;padding-left: 10% !important;}”]We also work in the academic research field. Following the principles and methodology of data science, we offer indexing services for bibliometric analysis and research. We develop software that interface with the major portals of scientific articles, understanding and outlining the contents and making them available to researchers. <\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column offset=”vc_hidden-md vc_hidden-sm”][vc_basic_grid post_type=”post” max_items=”6″ gap=”0″ item=”4536″ grid_id=”vc_gid:1582126257809-0740f20a-485c-9″ taxonomies=”41″][\/vc_column][\/vc_row][vc_row][vc_column offset=”vc_hidden-lg vc_hidden-xs”][vc_basic_grid post_type=”post” max_items=”6″ element_width=”6″ gap=”0″ item=”4536″ grid_id=”vc_gid:1582126257811-bc9ace00-2347-2″ taxonomies=”41″][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][rev_slider_vc alias=”bigdata_en” enable_paspartu=”no”][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/2″ css=”.vc_custom_1564148380745{padding-top: 5% !important;padding-bottom: 5% !important;padding-left: 10% !important;}” offset=”vc_hidden-md vc_hidden-sm vc_hidden-xs”][vc_column_text css=”.vc_custom_1564580870564{padding-top: 5% !important;}”]RESEARCH AND ANALYSIS[\/vc_column_text][vc_column_text]Market research and big data analysis are the foundations of many businesses. Despite having more figures and data available now than the […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"full-width.php","meta":{"footnotes":""},"class_list":["post-4394","page","type-page","status-publish","hentry"],"translation":{"provider":"WPGlobus","version":"3.0.0","language":"en","enabled_languages":["it","en"],"languages":{"it":{"title":true,"content":true,"excerpt":false},"en":{"title":true,"content":true,"excerpt":false}}},"yoast_head":"\nBig Data - Pc Cube<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.pccube.com\/big-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Big Data - Pc Cube\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.pccube.com\/big-data\/\" \/>\n<meta property=\"og:site_name\" content=\"Pc Cube\" \/>\n<meta property=\"article:modified_time\" content=\"2020-02-19T15:34:32+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.pccube.com\/big-data\/\",\"url\":\"https:\/\/www.pccube.com\/big-data\/\",\"name\":\"Big Data - 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