{"id":11142,"date":"2018-10-04T11:10:57","date_gmt":"2018-10-04T09:10:57","guid":{"rendered":"https:\/\/www.pitecolab.it\/?page_id=11142"},"modified":"2025-09-26T11:23:56","modified_gmt":"2025-09-26T09:23:56","slug":"semantic-data-matching","status":"publish","type":"page","link":"https:\/\/www.pitecolab.it\/en\/areas\/semantic-data-matching\/","title":{"rendered":"Data Matching"},"content":{"rendered":"

[vc_row css=”.vc_custom_1554290543556{margin-top: 30px !important;}”][vc_column width=”1\/3″][vc_single_image img_size=”thumbnail” alignment=”right” image=”58939″][\/vc_column][vc_column width=”2\/3″][wyde_separator text_align=”center” el_width=”100%” color=”#1e254c”][vc_empty_space height=”20px”][vc_column_text]In the Administration, Finance & Control area, Piteco has developed new reconciliation functions and routines for the management of non-uniform and unstructured data coming from various company Business Units, which require analysis<\/strong>, standardisation<\/strong> and validation<\/strong> activities to use such data in their business management systems.<\/em><\/span>[\/vc_column_text][vc_empty_space height=”20px”][wyde_separator text_align=”center” el_width=”100%” color=”#1e254c”][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1570025609262{margin-top: 30px !important;}”][vc_column width=”1\/3″][wyde_heading style=”6″ title=”Semantic data analysis” heading_color=”#1e254c”][\/vc_column][vc_column width=”2\/3″][vc_column_text]Using logics and functions that allow for the implementation of\u00a0Regular Expressions<\/strong>, Piteco\u2019s solutions initiate an innovative\u00a0Semantic Data Analysis<\/strong>\u00a0process as early as when the data are downloaded from the various source systems, which facilitates the subsequent application of\u00a0Machine Learning<\/strong>\u00a0algorithms and\u00a0parametric\u00a0matching logics\u00a0<\/strong>for the dynamic processing of data flows coming from different sources.<\/p>\n

The more than 40 years of experience with Treasury projects and the technological expertise of the\u00a0Software Factory<\/strong>\u00a0support Piteco’s constant commitment to researching and implementing new available technologies for data acquisition and processing, to significantly improve business efficiency indicators. This is achieved through\u00a0Cognitive Computing<\/strong>\u00a0and\u00a0self-learning<\/strong>\u00a0 functions \u2013 to manage highly variable Treasury operations in \u00a0complex scenarios\u00a0\u2013 and the application of\u00a0algorithms<\/strong>\u00a0and procedures that make it possible to\u00a0automate subsequent<\/strong>\u00a0data processing phases.[\/vc_column_text][vc_empty_space height=”20px”][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1570025609262{margin-top: 30px !important;}”][vc_column width=”1\/3″][wyde_heading style=”6″ title=”Machine learning & smart reconciliation” heading_color=”#1e254c”][\/vc_column][vc_column width=”2\/3″][vc_column_text]Piteco leverages the new possibilities offered by technologies underlying new\u00a0Machine Learning<\/strong>\u00a0paradigms by applying them specifically to functions dedicated to the management of\u00a0Cash Collection<\/strong>\u00a0processes and automating the entire\u00a0Collection Reconciliation<\/strong> process, even for unstructured payments, reducing uncertain cases, in which human intervention is required, to a minimum.
\nIn this context,\u00a0Piteco’s\u00a0IDM<\/strong><\/a>\u00a0platform supports companies that have significant invoicing and collection volumes, not only automating\u00a0matching between payments received and receivables due, but also significantly eliminating the low value-added manual interventions, guaranteeing companies the automatic matching of up to\u00a095%<\/strong>\u00a0of\u00a0transactions<\/strong>, by applying mathematical algorithms.[\/vc_column_text][vc_empty_space height=”20px”][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1570025609262{margin-top: 30px !important;}”][vc_column width=”1\/3″][wyde_heading style=”6″ title=”Sectors of application” heading_color=”#1e254c”][\/vc_column][vc_column width=”2\/3″][vc_column_text]The distinctive feature of Piteco’s Intelligent Data Matching functions is that they support non-uniform data matching processes in\u00a0different business sectors and company areas,\u00a0<\/strong>bearing witness to the in-depth customisation and parametric definition of the data structure.<\/p>\n

Excellent results and replicable best practices have been achieved in\u00a0Large Scale Retail<\/strong>, for the reconciliation of cumulative payment instructions and invoices, customer credit notes, allowances and discounts.<\/p>\n

In the Consumer Credit, Loans and Salary-Backed Loans,\u00a0<\/strong>optimising the reconciliation of collections from loan instalments.<\/p>\n

In the\u00a0e-Commerce<\/strong> world, reconciling front & back end data, online orders and credit card collections, managing carriers as well as cash on delivery.<\/p>\n

In the\u00a0Insurance<\/strong> sector, for matching between daybooks, broker account statements and\u00a0policies.<\/p>\n

And, lastly, in the\u00a0Utilities<\/strong> realm, where\u00a0Piteco\u00a0IDM<\/strong>\u00a0acts as an effective\u00a0Single Collection Manager<\/strong>, intermediating and resolving the complex issues linked to multiple collection channels and billing systems.[\/vc_column_text][vc_empty_space height=”20px”][\/vc_column][\/vc_row][vc_row css=”.vc_custom_1732107526791{margin-top: 30px !important;margin-bottom: 50px !important;}”][vc_column width=”1\/3″][\/vc_column][vc_column width=”2\/3″][vc_column_text el_class=”moduli-dedicati”]<\/p>\n

DEDICATED MODULES<\/div>\n

[\/vc_column_text][vc_single_image alignment=”center” image=”41179″][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/3″][\/vc_column][vc_column text_align=”center” width=”2\/3″][wyde_link_button size=”large” title=”EXPLORE OUR SUCCESS STORIES” link=”url:https%3A%2F%2Fwww.pitecolab.it%2Fen%2Fexperience%2F” bg_color=”#1e254c” css=”.vc_custom_1732103697375{background-color: #1e254c !important;}”][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row css=”.vc_custom_1554290543556{margin-top: 30px !important;}”][vc_column width=”1\/3″][vc_single_image img_size=”thumbnail” alignment=”right” image=”58939″][\/vc_column][vc_column width=”2\/3″][wyde_separator text_align=”center” el_width=”100%” color=”#1e254c”][vc_empty_space height=”20px”][vc_column_text]In the Administration, Finance & Control area, Piteco has developed new reconciliation functions and routines for the management of non-uniform and unstructured data coming from various company Business Units, which require analysis, standardisation and validation activities to use such data in their business […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":5128,"menu_order":10,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-11142","page","type-page","status-publish","hentry"],"yoast_head":"\nData Matching - Piteco<\/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.pitecolab.it\/en\/areas\/semantic-data-matching\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Matching - Piteco\" \/>\n<meta property=\"og:description\" content=\"[vc_row css=”.vc_custom_1554290543556{margin-top: 30px !important;}”][vc_column width=”1\/3″][vc_single_image img_size=”thumbnail” alignment=”right” image=”58939″][\/vc_column][vc_column width=”2\/3″][wyde_separator text_align=”center” el_width=”100%” color=”#1e254c”][vc_empty_space height=”20px”][vc_column_text]In the Administration, Finance & Control area, Piteco has developed new reconciliation functions and routines for the management of non-uniform and unstructured data coming from various company Business Units, which require analysis, standardisation and validation activities to use such data in their business […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.pitecolab.it\/en\/areas\/semantic-data-matching\/\" \/>\n<meta property=\"og:site_name\" content=\"Piteco\" \/>\n<meta property=\"article:modified_time\" content=\"2025-09-26T09:23:56+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=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.pitecolab.it\\\/en\\\/areas\\\/semantic-data-matching\\\/\",\"url\":\"https:\\\/\\\/www.pitecolab.it\\\/en\\\/areas\\\/semantic-data-matching\\\/\",\"name\":\"Data Matching - 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