{"id":17830,"date":"2020-07-09T12:18:01","date_gmt":"2020-07-09T09:18:01","guid":{"rendered":"https:\/\/gr.trycatch.gr\/?page_id=17830"},"modified":"2024-07-04T14:45:15","modified_gmt":"2024-07-04T11:45:15","slug":"data-analytics","status":"publish","type":"page","link":"https:\/\/icapcrif.com\/en\/our-services\/credit-rating-agency-services\/data-analytics\/","title":{"rendered":"Data Analytics"},"content":{"rendered":"<p>[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column][vc_empty_space][vc_column_text]Analyze and use smart data to make insightful, informed decisions.<\/p>\n<p>By providing critical data transformation and predictive analytics, our specialized analysts can deploy models to solve complex problems and drive your decisions.[\/vc_column_text][vc_empty_space height=&#8221;16px&#8221;]<div class=\"qode-advanced-call-to-action qode-advanced-cta-gradient qode-advanced-cta-gradient-animation\" style=\"height:60pxpx\">\n\t<a class=\"advanced-cta-link anchor\" href=\"\/en\/our-services\/ratings-analytics-services\/data-analytics\/#declareinterest\" target=\"_self\"><\/a>\n\t<div class=\"qode-advanced-cta-content\">\t\t\n\t    <span class=\"qode-advanced-cta-text-holder\" style=\"font-size:28px;font-weight:600\">\n\t\t    Are you interested in our services?\t    <\/span>\n\t    <span class=\"qode-advanced-cta-icon-holder\" style=\"height:45px;width:45px\">\n\t\t    <span class=\"qode-advanced-cta-icon-holder-table\">\n\t\t    \t<span class=\"qode-advanced-cta-icon-holder-cell\" >\n\t\t\t    \t<i class=\"qode_icon_font_awesome fa fa-arrow-circle-down qode-advanced-cta-icon\" ><\/i>\t\t\t    <\/span>\n\t\t    <\/span>\n\t\t    \t    <\/span>\n\t<\/div>\n\t\t\t<div class=\"qode-advanced-cta-background-holder\">\n\t\t\t<span class=\"qode-advanced-cta-background-1 qode-type1-gradient-left-to-right\"><\/span>\n\t\t\t<span class=\"qode-advanced-cta-background-2 qode-type1-gradient-left-to-right\"><\/span>\n\t\t\t<span class=\"qode-advanced-cta-background-3\"><\/span>\n\t\t<\/div>\n\t<\/div>[\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; background_color=&#8221;#ffffff&#8221; css=&#8221;.vc_custom_1603707760783{background-color: #ffffff !important;}&#8221; z_index=&#8221;&#8221; padding_top=&#8221;50&#8243; padding_bottom=&#8221;25&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;16416&#8243; img_size=&#8221;full&#8221; qode_css_animation=&#8221;element_from_left&#8221;][\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text]<\/p>\n<h2>Custom Credit Scoring Modeling<\/h2>\n<p>[\/vc_column_text][vc_separator type=&#8221;small&#8221; position=&#8221;left&#8221; color=&#8221;#e46302&#8243; up=&#8221;7&#8243; down=&#8221;34&#8243;][vc_column_text]ICAP CRIF has been active for more than fifteen years in the analysis of its clients\u2019 databases (Data Analytics), focusing on the development of credit risk models on behalf of Credit Institutions, Telecommunications companies and, more generally, on the utilisation of historical debtor and client data for statistical purposes.<\/p>\n<p>ICAP CRIF\u2019s Analysts analyse an Organisation\u2019s historical transaction and behavioural data on either individuals or businesses, using ICAP CRIF&#8217;s Data Science tools, and following modern protocols on data cleansing, transforming, training and constantly reviewing models.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-63055\" src=\"https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/Images_CRS_DataAnalytics_ICAP-CRIF-300x135.png\" alt=\"\" width=\"418\" height=\"188\" srcset=\"https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/Images_CRS_DataAnalytics_ICAP-CRIF-300x135.png 300w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/Images_CRS_DataAnalytics_ICAP-CRIF-1024x462.png 1024w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/Images_CRS_DataAnalytics_ICAP-CRIF-768x346.png 768w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/Images_CRS_DataAnalytics_ICAP-CRIF-1536x693.png 1536w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/Images_CRS_DataAnalytics_ICAP-CRIF-2048x924.png 2048w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/Images_CRS_DataAnalytics_ICAP-CRIF-700x316.png 700w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/Images_CRS_DataAnalytics_ICAP-CRIF-600x271.png 600w\" sizes=\"(max-width: 418px) 100vw, 418px\" \/><\/p>\n<p>ICAP CRIF fully meets the needs for credit cycle and client management predictive models, either for decision-making, or for risk rating to calculate regulatory capitals, or for the calculation of provisions according to IFRS9 accounting standard.<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"\/en\/our-services\/ratings-analytics-services\/ratings-scores\/#6\"><u><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-63057\" src=\"https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/2-lifecycle-ICAP-CRIF-300x176.png\" alt=\"\" width=\"371\" height=\"218\" srcset=\"https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/2-lifecycle-ICAP-CRIF-300x176.png 300w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/2-lifecycle-ICAP-CRIF-1024x599.png 1024w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/2-lifecycle-ICAP-CRIF-768x449.png 768w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/2-lifecycle-ICAP-CRIF-1536x899.png 1536w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/2-lifecycle-ICAP-CRIF-2048x1199.png 2048w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/2-lifecycle-ICAP-CRIF-700x410.png 700w, https:\/\/icapcrif.com\/wp-content\/uploads\/2022\/02\/2-lifecycle-ICAP-CRIF-600x351.png 600w\" sizes=\"(max-width: 371px) 100vw, 371px\" \/><\/u><\/a><\/p>\n<p><a href=\"\/en\/cra-risk-profiler\/\"><u>Risk.Profiler<\/u> <\/a>is the proposed solution for installing the models. However, Data Analytics services are independent of implementation technology, and support any Decision Engine the Organisation may use.[\/vc_column_text][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; background_color=&#8221;#ffffff&#8221; css=&#8221;.vc_custom_1594640466638{background-color: #f6f6f6 !important;}&#8221; z_index=&#8221;&#8221; padding_top=&#8221;87&#8243; padding_bottom=&#8221;25&#8243;][vc_column width=&#8221;2\/3&#8243;][vc_column_text]<\/p>\n<h2>NPL Portfolio Analysis<\/h2>\n<p>[\/vc_column_text][vc_separator type=&#8221;small&#8221; position=&#8221;left&#8221; color=&#8221;#e46302&#8243; up=&#8221;7&#8243; down=&#8221;34&#8243;][vc_column_text]To support decisions regarding Non-Performing Exposures and, in general, to manage arrears, ICAP CRIF analyses historical behavioural data, models the likelihood of meeting obligations or debt settlement schemes, and profiles debtors based on possible future trends<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-18588\" src=\"https:\/\/icapcrif.com\/wp-content\/uploads\/2020\/07\/3npl-portofolio-300x183.png\" alt=\"\" width=\"666\" height=\"406\" srcset=\"https:\/\/icapcrif.com\/wp-content\/uploads\/2020\/07\/3npl-portofolio-300x183.png 300w, https:\/\/icapcrif.com\/wp-content\/uploads\/2020\/07\/3npl-portofolio-600x365.png 600w, https:\/\/icapcrif.com\/wp-content\/uploads\/2020\/07\/3npl-portofolio-1024x624.png 1024w, https:\/\/icapcrif.com\/wp-content\/uploads\/2020\/07\/3npl-portofolio-768x468.png 768w, https:\/\/icapcrif.com\/wp-content\/uploads\/2020\/07\/3npl-portofolio-700x426.png 700w, https:\/\/icapcrif.com\/wp-content\/uploads\/2020\/07\/3npl-portofolio.png 1307w\" sizes=\"(max-width: 666px) 100vw, 666px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Profiling is accompanied by:<\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li>An estimate of the monthly or yearly debt affordability;<\/li>\n<li>Application of automated rules resulting in either matching each debtor with a standardised debt settlement or final arrangement scheme (debt settlement products and their parameters), or in loan contract termination and liquidation of collateral.<\/li>\n<\/ul>\n<h4><\/h4>\n<p>&nbsp;<\/p>\n<p><strong>Viability Classification &amp; Recovery Index Algorithm<\/strong><\/p>\n<p>This algorithm ranks companies in terms of their degree of viability. It has been developed and validated using a statistical methodology based on ICAP CRIF commercial data. It can be adjusted as necessary to take advantage of debtors&#8217; payment history and to incorporate dynamic features. The adjusted algorithm classifies debtors according to a recovery index indicating the expected recovery rate.[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;16409&#8243; img_size=&#8221;full&#8221; alignment=&#8221;right&#8221; qode_css_animation=&#8221;element_from_right&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; background_color=&#8221;#ffffff&#8221; css=&#8221;.vc_custom_1595422419981{background-color: #ffffff !important;}&#8221; z_index=&#8221;&#8221; padding_top=&#8221;87&#8243; padding_bottom=&#8221;30&#8243;][vc_column width=&#8221;1\/3&#8243;][vc_single_image image=&#8221;19171&#8243; img_size=&#8221;full&#8221; qode_css_animation=&#8221;element_from_left&#8221;][\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text]<\/p>\n<h2>Predictive Financial Modeling<\/h2>\n<p>[\/vc_column_text][vc_separator type=&#8221;small&#8221; position=&#8221;left&#8221; color=&#8221;#e46302&#8243; up=&#8221;7&#8243; down=&#8221;34&#8243;][vc_column_text]ICAP CRIF\u2019s econometrics team develops predictive Financial Risks and, in general, Financial Random Variables models, taking into account the characteristics of the Greek Economy as derived from data of Greek businesses.<\/p>\n<p>&nbsp;<\/p>\n<p>Inter alia, financial models are used for the assessment of a company\u2019s turnover, future cash flows and value, considering Industry level trends and the Macroeconomic Environment. ICAP CRIF, thanks to the overall picture it has gained from its own database analytics, can offer high-value assessment services in the areas of Project Finance, Start-ups and crisis scenario simulations like the recent pandemic.[\/vc_column_text][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221;][vc_column][vc_empty_space height=&#8221;50px&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221; background_color=&#8221;#ffffff&#8221; padding_top=&#8221;20&#8243; el_id=&#8221;declareinterest&#8221;][vc_column][vc_text_separator title=&#8221;Are you interested in our services?&#8221; border=&#8221;no&#8221; background_color=&#8221;#e46302&#8243;]\n<div class=\"wpcf7 no-js\" id=\"wpcf7-f21973-o1\" lang=\"el\" dir=\"ltr\">\n<div class=\"screen-reader-response\"><p role=\"status\" aria-live=\"polite\" aria-atomic=\"true\"><\/p> <ul><\/ul><\/div>\n<form action=\"\/en\/wp-json\/wp\/v2\/pages\/17830\/#wpcf7-f21973-o1\" method=\"post\" class=\"wpcf7-form init cf7_custom_style_2\" aria-label=\"\u03a6\u03cc\u03c1\u03bc\u03b1 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03c2\" novalidate=\"novalidate\" data-status=\"init\">\n<div style=\"display: none;\">\n<input type=\"hidden\" name=\"_wpcf7\" value=\"21973\" \/>\n<input type=\"hidden\" name=\"_wpcf7_version\" value=\"5.9.8\" \/>\n<input type=\"hidden\" name=\"_wpcf7_locale\" value=\"el\" \/>\n<input type=\"hidden\" name=\"_wpcf7_unit_tag\" value=\"wpcf7-f21973-o1\" \/>\n<input type=\"hidden\" name=\"_wpcf7_container_post\" value=\"0\" \/>\n<input type=\"hidden\" name=\"_wpcf7_posted_data_hash\" value=\"\" \/>\n<\/div>\n<p><label> Company Name*<br \/>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"your-company\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required\" aria-required=\"true\" aria-invalid=\"false\" value=\"\" type=\"text\" name=\"your-company\" \/><\/span> <\/label>\n<\/p>\n<p><label> Your Name*<br \/>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"participant\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-text wpcf7-validates-as-required\" aria-required=\"true\" aria-invalid=\"false\" value=\"\" type=\"text\" name=\"participant\" \/><\/span> <\/label>\n<\/p>\n<p><label> Email*<br \/>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"your-email\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-email wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-email\" aria-required=\"true\" aria-invalid=\"false\" value=\"\" type=\"email\" name=\"your-email\" \/><\/span> <\/label>\n<\/p>\n<p><label> Phone No.*<br \/>\n<span class=\"wpcf7-form-control-wrap\" data-name=\"Phone\"><input size=\"40\" maxlength=\"400\" class=\"wpcf7-form-control wpcf7-tel wpcf7-validates-as-required wpcf7-text wpcf7-validates-as-tel\" aria-required=\"true\" aria-invalid=\"false\" value=\"\" type=\"tel\" name=\"Phone\" \/><\/span> <\/label>\n<\/p>\n<p>Please let us know which service are you interested in: <span class=\"wpcf7-form-control-wrap\" data-name=\"DA\"><span class=\"wpcf7-form-control wpcf7-checkbox\"><span class=\"wpcf7-list-item first\"><input type=\"checkbox\" name=\"DA[]\" value=\"Custom Credit Scoring Modeling\" \/><span class=\"wpcf7-list-item-label\">Custom Credit Scoring Modeling<\/span><\/span><span class=\"wpcf7-list-item\"><input type=\"checkbox\" name=\"DA[]\" value=\"NPL Portfolio Analysis\" \/><span class=\"wpcf7-list-item-label\">NPL Portfolio Analysis<\/span><\/span><span class=\"wpcf7-list-item last\"><input type=\"checkbox\" name=\"DA[]\" value=\"Predictive Financial Modeling\" \/><span class=\"wpcf7-list-item-label\">Predictive Financial Modeling<\/span><\/span><\/span><\/span>\n<\/p>\n<div class=\"contact-form-terms\">\n\t<p>* Your information will only be used for contacting you regarding your request\n\t<\/p>\n<\/div>\n<p><input class=\"wpcf7-form-control wpcf7-submit has-spinner\" type=\"submit\" value=\"Submit\" \/>\n<\/p><div class=\"wpcf7-response-output\" aria-hidden=\"true\"><\/div>\n<\/form>\n<\/div>\n[vc_empty_space height=&#8221;222px&#8221;][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row css_animation=&#8221;&#8221; 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