{"id":375,"date":"2015-04-22T08:50:07","date_gmt":"2015-04-22T12:50:07","guid":{"rendered":"http:\/\/www.smartforecaster.net\/?p=375"},"modified":"2020-06-19T15:40:42","modified_gmt":"2020-06-19T19:40:42","slug":"aandachtsindex","status":"publish","type":"post","link":"https:\/\/smartcorp.com\/nl\/blog\/attention-index\/","title":{"rendered":"Een controle op prognoseautomatisering met de aandachtsindex"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; module_class=&#8221;blog_css&#8221; _builder_version=&#8221;3.22&#8243; transparent_background=&#8221;off&#8221; make_fullwidth=&#8221;off&#8221; use_custom_width=&#8221;off&#8221; width_unit=&#8221;on&#8221;][et_pb_row admin_label=&#8221;row&#8221; _builder_version=&#8221;3.25&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;3.0.47&#8243; 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80%;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.et_pb_column .et_pb_blog_grid .column.size-1of2, .et_pb_column .et_pb_widget:nth-child(n) {<!-- [et_pb_line_break_holder] --> width: 100% !important;<!-- [et_pb_line_break_holder] --> margin: 0 7.5% 7.5% 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_col {<!-- [et_pb_line_break_holder] --> width: 56% !important;<!-- [et_pb_line_break_holder] --> display: inline-block;<!-- [et_pb_line_break_holder] --> float: left;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.sitebar_col{<!-- [et_pb_line_break_holder] --> width: 230px !important;<!-- [et_pb_line_break_holder] --> display: inline-block;<!-- [et_pb_line_break_holder] --> float: right;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->@media (max-width: 930px){<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.bloggg>div{<!-- [et_pb_line_break_holder] --> width: 85%;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 870px){<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.bloggg>div{<!-- [et_pb_line_break_holder] --> width: 90%;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 830px){<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.bloggg>div{<!-- [et_pb_line_break_holder] --> width: 97%;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 767px){<!-- [et_pb_line_break_holder] -->.sitebar_col {<!-- [et_pb_line_break_holder] -->display:none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_col {<!-- [et_pb_line_break_holder] --> width: 100% !important;<!-- [et_pb_line_break_holder] --> display: block;<!-- [et_pb_line_break_holder] --> float: none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob {<!-- [et_pb_line_break_holder] --> width: 100%;<!-- [et_pb_line_break_holder] --> float: none;<!-- [et_pb_line_break_holder] --> display: block;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob article {<!-- [et_pb_line_break_holder] --> width: 100%;<!-- [et_pb_line_break_holder] --> padding: 45px 20px 10px 20px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.ghj {<!-- [et_pb_line_break_holder] -->width: 280px;<!-- [et_pb_line_break_holder] --> margin: auto;<!-- [et_pb_line_break_holder] -->padding-bottom:20px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.et_pb_post .entry-featured-image-url {<!-- [et_pb_line_break_holder] --> float: none !important;<!-- [et_pb_line_break_holder] --> margin-right: 0 !important;<!-- [et_pb_line_break_holder] --> display: block !important;<!-- [et_pb_line_break_holder] --> position: relative !important;<!-- [et_pb_line_break_holder] --> bottom: 0 !important;<!-- [et_pb_line_break_holder] --> text-align: center !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-content {<!-- [et_pb_line_break_holder] --> display: none !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.blog_top_title {<!-- [et_pb_line_break_holder] --> line-height: 38px;<!-- [et_pb_line_break_holder] --> font-size: 34px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob article h2 a {<!-- [et_pb_line_break_holder] --> line-height: 28px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_bg {<!-- [et_pb_line_break_holder] --> padding: 50px 15px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><\/style>\n<p>[\/et_pb_code][et_pb_code admin_label=&#8221;POST CSS&#8221;]<\/p>\n<style><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->@media (max-width: 1320px){<!-- [et_pb_line_break_holder] -->.blog_glob .relposts article img {<!-- [et_pb_line_break_holder] --> width: 160px !important;<!-- [et_pb_line_break_holder] --> height: 160px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts article {<!-- [et_pb_line_break_holder] --> width: 180px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 1160px){<!-- [et_pb_line_break_holder] -->.relposts article:nth-child(2) {<!-- [et_pb_line_break_holder] --> display:none !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob .relposts article .entry-title{<!-- [et_pb_line_break_holder] --> height: 85px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts{<!-- [et_pb_line_break_holder] --> margin: auto;<!-- [et_pb_line_break_holder] --> float: none;<!-- [et_pb_line_break_holder] --> width: 390px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.relposts:after {<!-- [et_pb_line_break_holder] --> content: '';<!-- [et_pb_line_break_holder] --> display: block;<!-- [et_pb_line_break_holder] --> clear: both;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob .relposts article h2 a{<!-- [et_pb_line_break_holder] --> font-size: 13.08px !important;<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --> }<!-- [et_pb_line_break_holder] -->.relposts article {<!-- [et_pb_line_break_holder] --> margin-bottom: 25px !important ;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob .relposts article .entry-title{<!-- [et_pb_line_break_holder] -->margin-top:2px;<!-- [et_pb_line_break_holder] --> line-height: 0.7em !important;<!-- [et_pb_line_break_holder] --> height: 70px ;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts article{<!-- [et_pb_line_break_holder] --> width: 212px ;<!-- [et_pb_line_break_holder] --> display: inline-block !important;<!-- [et_pb_line_break_holder] --> float: left !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts article:nth-child(1) {<!-- [et_pb_line_break_holder] --> margin-right: 25px ;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts article:nth-child(2) {<!-- [et_pb_line_break_holder] --> margin-right: 25px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob .relposts article{<!-- [et_pb_line_break_holder] -->display: inline-block;<!-- [et_pb_line_break_holder] --> padding: 10px 10px 30px 10px !important;<!-- [et_pb_line_break_holder] --> box-shadow: 0px 0px 5px silver !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_glob article{<!-- [et_pb_line_break_holder] --> padding: 10px 10px 30px 10px !important;<!-- [et_pb_line_break_holder] --> box-shadow: 0px 0px 5px silver !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts .et_pb_post .entry-featured-image-url {<!-- [et_pb_line_break_holder] --> float: none !important;<!-- [et_pb_line_break_holder] --> margin-right: 0 !important;<!-- [et_pb_line_break_holder] --> display: block !important;<!-- [et_pb_line_break_holder] --> position: relative !important;<!-- [et_pb_line_break_holder] --> bottom: 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-content{<!-- [et_pb_line_break_holder] -->display:none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.relposts_title{<!-- [et_pb_line_break_holder] --> text-align: center;<!-- [et_pb_line_break_holder] --> font-size: 26px;<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-weight: 600;<!-- [et_pb_line_break_holder] --> margin-bottom: 15px;<!-- [et_pb_line_break_holder] --> margin-top: 70px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.widget_categories_jj{<!-- [et_pb_line_break_holder] --> margin-top: 60px;<!-- [et_pb_line_break_holder] --> margin-bottom: 60px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.widget_categories_jj ul li a {<!-- [et_pb_line_break_holder] --> text-decoration: none;<!-- [et_pb_line_break_holder] --> font-size: 16px;<!-- [et_pb_line_break_holder] --> line-height: 32px;<!-- [et_pb_line_break_holder] --> color: #3c3c3c;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.widget_categories_jj ul {<!-- [et_pb_line_break_holder] --> padding: 0 !important;<!-- [et_pb_line_break_holder] --> margin-top: 0;<!-- [et_pb_line_break_holder] --> list-style-type: none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.categ_title {<!-- [et_pb_line_break_holder] --> font-family: 'Open Sans', sans-serif !important;<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-size: 26px;<!-- [et_pb_line_break_holder] --> padding-bottom: 30px;<!-- [et_pb_line_break_holder] --> border-bottom: 1px solid #a3a3a3;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.widget_categories_jj ul li{<!-- [et_pb_line_break_holder] -->text-decoration: none;<!-- [et_pb_line_break_holder] --> font-size: 16px;<!-- [et_pb_line_break_holder] --> line-height: 32px;<!-- [et_pb_line_break_holder] --> color: #3c3c3c;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.widget_categories_jj ul li {<!-- [et_pb_line_break_holder] --> list-style-type: none;<!-- [et_pb_line_break_holder] --> border-bottom: 1px solid #a3a3a3;<!-- [et_pb_line_break_holder] --> padding: 10px 0;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.share_blog{<!-- [et_pb_line_break_holder] -->margin:5px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->div.wp_rp_content {<!-- [et_pb_line_break_holder] --> display: none !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-soc-icon img{<!-- [et_pb_line_break_holder] --> width: inherit !important;<!-- [et_pb_line_break_holder] --> height: inherit !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --> .post_soc {<!-- [et_pb_line_break_holder] --> position: absolute;<!-- [et_pb_line_break_holder] --> margin-left: -55px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.bloggg{<!-- [et_pb_line_break_holder] --> position: relative;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --> .post-soc-icon a img {<!-- [et_pb_line_break_holder] --> display: block;<!-- [et_pb_line_break_holder] --> margin-bottom: 7px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-soc-icon a {<!-- [et_pb_line_break_holder] --> text-decoration: none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text ul li:before {<!-- [et_pb_line_break_holder] --> content: '';<!-- [et_pb_line_break_holder] --> display: inline-block;<!-- [et_pb_line_break_holder] --> width: 7px;<!-- [et_pb_line_break_holder] --> height: 7px;<!-- [et_pb_line_break_holder] --> background: #00964d;<!-- [et_pb_line_break_holder] --> border-radius: 50%;<!-- [et_pb_line_break_holder] --> margin-bottom: 2px;<!-- [et_pb_line_break_holder] --> margin-right: 8px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text ul li {<!-- [et_pb_line_break_holder] --> list-style-type: none;<!-- [et_pb_line_break_holder] --> line-height: 30px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text {<!-- [et_pb_line_break_holder] -->text-align: justify; <!-- [et_pb_line_break_holder] --> color: #404040;<!-- [et_pb_line_break_holder] --> font-size: 16px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text a{<!-- [et_pb_line_break_holder] -->color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-style: italic;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text span{<!-- [et_pb_line_break_holder] --> font-style: italic;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-main_text strong{<!-- [et_pb_line_break_holder] --> font-family: 'Open Sans', sans-serif !important;<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-weight: 400;<!-- [et_pb_line_break_holder] --> font-size: 20px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.et_post_meta_wrapper img{<!-- [et_pb_line_break_holder] --> width: 400px !important;<!-- [et_pb_line_break_holder] --> height: 280px !important;<!-- [et_pb_line_break_holder] --> float: left;<!-- [et_pb_line_break_holder] --> margin-right: 20px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.et_post_meta_wrapper .entry-title{<!-- [et_pb_line_break_holder] --> font-size: 26px;<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-weight: 600;<!-- [et_pb_line_break_holder] --> margin-bottom: 8px;<!-- [et_pb_line_break_holder] --> text-decoration: none;<!-- [et_pb_line_break_holder] --> font-family: 'Open Sans', sans-serif !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.single.et_pb_pagebuilder_layout.et_full_width_page .et_post_meta_wrapper {<!-- [et_pb_line_break_holder] --> width: 100% !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.post-meta>a, .comments-number{<!-- [et_pb_line_break_holder] -->display:none !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.single.et_pb_pagebuilder_layout.et_full_width_page .et_post_meta_wrapper {<!-- [et_pb_line_break_holder] --> padding-top: 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.blog_bg{<!-- [et_pb_line_break_holder] -->padding: 120px 15px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->#left-area {<!-- [et_pb_line_break_holder] --> padding-bottom: 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.single .et_pb_post{<!-- [et_pb_line_break_holder] --> padding-bottom: 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.single .et_pb_post{<!-- [et_pb_line_break_holder] --> margin-bottom: 0 !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 767px){<!-- [et_pb_line_break_holder] -->.subscribe_bg{<!-- [et_pb_line_break_holder] --> margin-bottom: 60px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.ghj {<!-- [et_pb_line_break_holder] --> margin-bottom: -60px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.ghj{<!-- [et_pb_line_break_holder] -->margin-top:40px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.et_post_meta_wrapper img {<!-- [et_pb_line_break_holder] --> width: auto !important;<!-- [et_pb_line_break_holder] --> height: auto !important;<!-- [et_pb_line_break_holder] --> float: left;<!-- [et_pb_line_break_holder] --> margin-right: 20px;<!-- [et_pb_line_break_holder] --> max-width: 100% !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->#categories-bbb{<!-- [et_pb_line_break_holder] --> padding-top: 10px;<!-- [et_pb_line_break_holder] --> margin-top: 0;<!-- [et_pb_line_break_holder] --> margin-bottom: 10px;<!-- [et_pb_line_break_holder] --> border-bottom: 2px solid #0d4c92;<!-- [et_pb_line_break_holder] --> border-top: 2px solid #0d4c92;<!-- [et_pb_line_break_holder] --> text-align: center;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.categ_title{<!-- [et_pb_line_break_holder] -->font-weight: bold;<!-- [et_pb_line_break_holder] -->color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-size: 26px;<!-- [et_pb_line_break_holder] --> padding-bottom: 30px;<!-- [et_pb_line_break_holder] --> border-bottom: none;<!-- [et_pb_line_break_holder] --> padding-bottom: 10px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.categ_title:after {<!-- [et_pb_line_break_holder] --> content: 'f0dd ';<!-- [et_pb_line_break_holder] --> color: #0d4c92;<!-- [et_pb_line_break_holder] --> font-family: fontawesome;<!-- [et_pb_line_break_holder] --> margin-left: 5px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->#categories-bbb ul{<!-- [et_pb_line_break_holder] --> display: none;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->#categories-bbb ul.baccc {<!-- [et_pb_line_break_holder] --> display: block !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 850px){<!-- [et_pb_line_break_holder] -->.et_post_meta_wrapper img {<!-- [et_pb_line_break_holder] --> width: auto !important;<!-- [et_pb_line_break_holder] --> height: auto !important;<!-- [et_pb_line_break_holder] --> float: none !important;<!-- [et_pb_line_break_holder] --> text-align: center !important;<!-- [et_pb_line_break_holder] --> margin: auto !important;<!-- [et_pb_line_break_holder] --> max-width: 100% !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.sitebar_col {<!-- [et_pb_line_break_holder] --> width: 190px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><\/style>\n<p>[\/et_pb_code][et_pb_code]<script><!-- [et_pb_line_break_holder] -->jQuery(document).ready(function($) {<!-- [et_pb_line_break_holder] --> \/\/ Stuff to do as soon as the DOM is ready. 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body_quote_text_shadow_blur_strength_tablet=&#8221;1px&#8221; body_quote_text_shadow_blur_strength_phone=&#8221;1px&#8221; button_text_shadow_horizontal_length_tablet=&#8221;0em&#8221; button_text_shadow_horizontal_length_phone=&#8221;0em&#8221; button_text_shadow_vertical_length_tablet=&#8221;0em&#8221; button_text_shadow_vertical_length_phone=&#8221;0em&#8221; button_text_shadow_blur_strength_tablet=&#8221;0em&#8221; button_text_shadow_blur_strength_phone=&#8221;0em&#8221; box_shadow_horizontal_image_tablet=&#8221;0px&#8221; box_shadow_horizontal_image_phone=&#8221;0px&#8221; box_shadow_vertical_image_tablet=&#8221;0px&#8221; box_shadow_vertical_image_phone=&#8221;0px&#8221; box_shadow_blur_image_tablet=&#8221;40px&#8221; box_shadow_blur_image_phone=&#8221;40px&#8221; box_shadow_spread_image_tablet=&#8221;0px&#8221; box_shadow_spread_image_phone=&#8221;0px&#8221; box_shadow_horizontal_button_tablet=&#8221;0px&#8221; box_shadow_horizontal_button_phone=&#8221;0px&#8221; box_shadow_vertical_button_tablet=&#8221;0px&#8221; box_shadow_vertical_button_phone=&#8221;0px&#8221; box_shadow_blur_button_tablet=&#8221;40px&#8221; box_shadow_blur_button_phone=&#8221;40px&#8221; box_shadow_spread_button_tablet=&#8221;0px&#8221; box_shadow_spread_button_phone=&#8221;0px&#8221; text_shadow_horizontal_length_tablet=&#8221;0em&#8221; text_shadow_horizontal_length_phone=&#8221;0em&#8221; text_shadow_vertical_length_tablet=&#8221;0em&#8221; text_shadow_vertical_length_phone=&#8221;0em&#8221; text_shadow_blur_strength_tablet=&#8221;0em&#8221; text_shadow_blur_strength_phone=&#8221;0em&#8221;]<\/p>\n<h1 style=\"text-align: center;\">Pursuing best practices in demand planning,<\/h1>\n<h1 style=\"text-align: center;\">forecasting and inventory optimization<\/h1>\n<p>[\/et_pb_slide][\/et_pb_fullwidth_slider][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; specialty=&#8221;on&#8221; parallax_method_1=&#8221;off&#8221; parallax_method_2=&#8221;off&#8221; module_class_1=&#8221;blog_col&#8221; module_class_2=&#8221;sitebar_col&#8221; module_class=&#8221;bloggg&#8221; _builder_version=&#8221;3.22&#8243; transparent_background=&#8221;off&#8221; make_fullwidth=&#8221;off&#8221; use_custom_width=&#8221;off&#8221; width_unit=&#8221;on&#8221;][et_pb_column type=&#8221;2_3&#8243; specialty_columns=&#8221;2&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_row_inner admin_label=&#8221;Row&#8221; module_class=&#8221;blog_glob&#8221; _builder_version=&#8221;3.25&#8243;][et_pb_column_inner saved_specialty_column_type=&#8221;2_3&#8243; _builder_version=&#8221;3.0.47&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_code module_class=&#8221;append_categ&#8221;]<script><!-- [et_pb_line_break_holder] -->jQuery(document).ready(function($) {<!-- [et_pb_line_break_holder] --> \/\/ Stuff to do as soon as the DOM is ready. Use $() w\/o colliding with other libs<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->$(window).on('load', function(){<!-- [et_pb_line_break_holder] --> if ($(window).width() < 767 ) {<!-- [et_pb_line_break_holder] --> $(\".append_categ\").append($(\"#categories-bbb\"))<!-- [et_pb_line_break_holder] --> }<!-- [et_pb_line_break_holder] -->}); <!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->});<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/script>[\/et_pb_code][et_pb_text admin_label=&#8221;CONTENT&#8221; module_class=&#8221;post-main_text&#8221; _builder_version=&#8221;3.27.4&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221; z_index_tablet=&#8221;500&#8243; text_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; text_text_shadow_vertical_length_tablet=&#8221;0px&#8221; text_text_shadow_blur_strength_tablet=&#8221;1px&#8221; link_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; link_text_shadow_vertical_length_tablet=&#8221;0px&#8221; link_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ul_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ul_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ul_text_shadow_blur_strength_tablet=&#8221;1px&#8221; ol_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; ol_text_shadow_vertical_length_tablet=&#8221;0px&#8221; ol_text_shadow_blur_strength_tablet=&#8221;1px&#8221; quote_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; quote_text_shadow_vertical_length_tablet=&#8221;0px&#8221; quote_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_2_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_2_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_2_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_3_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_3_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_3_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_4_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_4_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_4_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_5_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_5_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_5_text_shadow_blur_strength_tablet=&#8221;1px&#8221; header_6_text_shadow_horizontal_length_tablet=&#8221;0px&#8221; header_6_text_shadow_vertical_length_tablet=&#8221;0px&#8221; header_6_text_shadow_blur_strength_tablet=&#8221;1px&#8221; box_shadow_horizontal_tablet=&#8221;0px&#8221; box_shadow_vertical_tablet=&#8221;0px&#8221; box_shadow_blur_tablet=&#8221;40px&#8221; box_shadow_spread_tablet=&#8221;0px&#8221; use_border_color=&#8221;off&#8221;]<\/p>\n<p>A new metric we call the \u201cAttention Index\u201d will help forecasters identify situations where \u201cdata behaving badly\u201d can distort automatic statistical forecasts (see adjacent poem). It quickly identifies those items most likely to require forecast overrides\u2014providing a more efficient way to put business experience and other human intelligence to work maximizing the accuracy of forecasts. How does it work?<\/p>\n<p>Classical <a href=\"https:\/\/smartcorp.com\/forecasting-rising-tide-big-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">forecasting methods<\/a>, such as the various flavors of exponential smoothing and moving averages, insist on a leap of faith. They require that we trust present conditions to persist into the future. If present conditions do persist, then it is sensible to use these extrapolative methods\u2014methods which quantify the current level, trend, seasonality and \u201cnoise\u201d of a time series and project them into the future.<\/p>\n<p>But if they do not persist, extrapolative methods can get us into trouble. What had been going up might suddenly be going down. What used to be centered around one level might suddenly jump to another. Or something really odd might happen that is entirely out of pattern. In these surprising circumstances, forecast accuracy deteriorates, inventory calculations go wrong and general unhappiness ensues.<\/p>\n<p>One way to cope with this problem is to rely on more complex forecasting models that account for external factors that drive the variable being forecasted. For instance, sales promotions attempt to disrupt buying patterns and move them in a positive direction, so including promotion activity in the forecasting process can improve sales forecasting. Sometimes macroeconomic indicators, such as housing starts or inflation rates, can be used to improve forecast accuracy. But more complex models require more data and more expertise, and they may not be useful for some problems\u2014such as managing parts or subsystems, rather than finished goods.<\/p>\n<p>If one is stuck using simple extrapolative methods, it is useful to have a way to flag items that will be difficult to forecast. This is the Attention Index. As the name suggests, items to be forecast with a high Attention Index require special handling\u2014at least a review, and usually some sort of forecast adjustment.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1293\" src=\"https:\/\/smartcorp.com\/wp-content\/uploads\/2015\/04\/attention-index.png\" alt=\"\" width=\"2048\" height=\"1019\" srcset=\"https:\/\/smartcorp.com\/wp-content\/uploads\/2015\/04\/attention-index.png 2048w, https:\/\/smartcorp.com\/wp-content\/uploads\/2015\/04\/attention-index-300x149.png 300w, https:\/\/smartcorp.com\/wp-content\/uploads\/2015\/04\/attention-index-768x382.png 768w, https:\/\/smartcorp.com\/wp-content\/uploads\/2015\/04\/attention-index-1024x510.png 1024w, https:\/\/smartcorp.com\/wp-content\/uploads\/2015\/04\/attention-index-1080x537.png 1080w\" sizes=\"(max-width: 2048px) 100vw, 2048px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>The Attention Index detects three types of problems:<\/p>\n<p>An outlier in the demand history of an item.<br \/>An abrupt change in the level of an item.<br \/>An abrupt change in the trend of an item.<br \/>Using software like SmartForecasts\u2122, the forecaster can deal with an outlier by replacing it with a more typical value.<\/p>\n<p>An abrupt change in level or trend can be dealt with by omitting, from the forecasting calculations, all data from before the \u201crupture\u201d in the demand pattern\u2014assuming that the item has switched into a new regime that renders the older data irrelevant.<\/p>\n<p>While no index is perfect, the Attention Index does a good job of focusing attention on the most problematic demand histories. This is demonstrated in the two figures below, which were produced with data from the M3 Competition, well known in the forecasting world. Figure 1 shows the 20 items (out of the contest\u2019s 3,003) with the highest Attention Index scores; all of these have grotesque outliers and ruptures. Figure 2 shows the 20 items with the lowest Attention Index scores; most (but not all) of the items with low scores have relatively benign patterns.<\/p>\n<p>If you have thousands of items to forecast, the new Attention Index will be very useful for focusing your attention on those items most likely to be problematic.<\/p>\n<p><em>Thomas Willemain, PhD, co-founded Smart Software and currently serves as Senior Vice President for Research. Dr. Willemain also serves as Professor Emeritus of Industrial and Systems Engineering at Rensselaer Polytechnic Institute and as a member of the research staff at the Center for Computing Sciences, Institute for Defense Analyses.<\/em><\/p>\n<p><a href=\"https:\/\/smartcorp.com\/operational-analytics\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1532\" src=\"https:\/\/smartcorp.com\/wp-content\/uploads\/2015\/12\/analytics_bottom.png\" alt=\"\" width=\"700\" height=\"250\" srcset=\"https:\/\/smartcorp.com\/wp-content\/uploads\/2015\/12\/analytics_bottom.png 700w, https:\/\/smartcorp.com\/wp-content\/uploads\/2015\/12\/analytics_bottom-300x107.png 300w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/a><\/p>\n<p>[\/et_pb_text][et_pb_code module_class=&#8221;comment_sect&#8221;]<script><!-- [et_pb_line_break_holder] -->jQuery(document).ready(function($) {<!-- [et_pb_line_break_holder] --> \/\/ Stuff to do as soon as the DOM is ready. 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[et_pb_line_break_holder] --> margin: auto;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.f_learn_more_text ul li{<!-- [et_pb_line_break_holder] --> text-align: center;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.glob-footer {<!-- [et_pb_line_break_holder] --> text-align: center;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --> .f_contact_us_bg{<!-- [et_pb_line_break_holder] -->margin-bottom:20px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.f_contact_us_text img {<!-- [et_pb_line_break_holder] --> margin-right: 6px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.f_contact_us_share img {<!-- [et_pb_line_break_holder] --> margin-right: 7px !important;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><\/style>\n<p>[\/et_pb_fullwidth_code][et_pb_fullwidth_code _builder_version=&#8221;3.19.11&#8243;][\/et_pb_fullwidth_code][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Een nieuwe maatstaf die we de &quot;Attentie-index&quot; noemen, helpt voorspellers situaties te identificeren waarin &quot;gegevens die zich slecht gedragen&quot; automatische statistische voorspellingen kunnen verstoren (zie hiernaast). Het identificeert snel die items die waarschijnlijk de meeste kans hebben om prognoses te negeren, wat een effici\u00ebntere manier biedt om zakelijke ervaring en andere menselijke intelligentie aan het werk te zetten om de nauwkeurigheid van prognoses te maximaliseren. Hoe werkt het?<\/p>","protected":false},"author":122,"featured_media":2790,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<a href=\"http:\/\/www.smartforecaster.net\/wp-content\/uploads\/2015\/04\/cairncross-poem-300.png\"><img class=\"alignright wp-image-387 size-full\" src=\"http:\/\/www.smartforecaster.net\/wp-content\/uploads\/2015\/04\/cairncross-poem-300.png\" alt=\"The text of a poem by Alec Cairncross\" width=\"300\" height=\"300\" \/><\/a>A new metric we call the \u201cAttention Index\u201d will help forecasters identify situations where \u201cdata behaving badly\u201d can distort automatic statistical forecasts (see adjacent poem). It quickly identifies those items most likely to require forecast overrides\u2014providing a more efficient way to put business experience and other human intelligence to work maximizing the accuracy of forecasts. How does it work?\r\n<!--more-->\r\nClassical forecasting methods, such as the various flavors of exponential smoothing and moving averages, insist on a leap of faith. They require that we trust present conditions to persist into the future. If present conditions do persist, then it is sensible to use these extrapolative methods\u2014methods which quantify the current level, trend, seasonality and \u201cnoise\u201d of a time series and project them into the future.\r\n\r\nBut if they do not persist, extrapolative methods can get us into trouble. What had been going up might suddenly be going down. What used to be centered around one level might suddenly jump to another. Or something really odd might happen that is entirely out of pattern. In these surprising circumstances, forecast accuracy deteriorates, inventory calculations go wrong and general unhappiness ensues.\r\n\r\nOne way to cope with this problem is to rely on more complex forecasting models that account for external factors that drive the variable being forecasted. For instance, sales promotions attempt to disrupt buying patterns and move them in a positive direction, so including promotion activity in the forecasting process can improve sales forecasting. Sometimes macroeconomic indicators, such as housing starts or inflation rates, can be used to improve forecast accuracy. But more complex models require more data and more expertise, and they may not be useful for some problems\u2014such as managing parts or subsystems, rather than finished goods.\r\n\r\nIf one is stuck using simple extrapolative methods, it is useful to have a way to flag items that will be difficult to forecast. This is the Attention Index. As the name suggests, items to be forecast with a high Attention Index require special handling\u2014at least a review, and usually some sort of forecast adjustment.\r\n\r\nThe Attention Index detects three types of problems:\r\n<ol>\r\n\t<li>\u00a0An outlier in the demand history of an item.<\/li>\r\n\t<li>\u00a0An abrupt change in the level of an item.<\/li>\r\n\t<li>\u00a0An abrupt change in the trend of an item.<\/li>\r\n<\/ol>\r\nUsing software like SmartForecasts\u2122, the forecaster can deal with an outlier by replacing it with a more typical value.\r\n\r\nAn abrupt change in level or trend can be dealt with by omitting, from the forecasting calculations, all data from before the \u201crupture\u201d in the demand pattern\u2014assuming that the item has switched into a new regime that renders the older data irrelevant.\r\n\r\nWhile no index is perfect, the Attention Index does a good job of focusing attention on the most problematic demand histories. This is demonstrated in the two figures below, which were produced with data from the M3 Competition, well known in the forecasting world. Figure 1 shows the 20 items (out of the contest's 3,003) with the highest Attention Index scores; all of these have grotesque outliers and ruptures. Figure 2 shows the 20 items with the lowest Attention Index scores; most (but not all) of the items with low scores have relatively benign patterns.\r\n\r\nIf you have thousands of items to forecast, the new Attention Index will be very useful for focusing your attention on those items most likely to be problematic.\r\n\r\n(Click on the figures to zoom in.)\r\n\r\n[caption id=\"attachment_372\" align=\"alignleft\" width=\"2048\"]<a href=\"http:\/\/www.smartforecaster.net\/wp-content\/uploads\/2015\/04\/attention-index-figure-1.png\"><img class=\"size-full wp-image-372\" src=\"http:\/\/www.smartforecaster.net\/wp-content\/uploads\/2015\/04\/attention-index-figure-1.png\" alt=\"Twenty demonstrative graphs\" width=\"2048\" height=\"1019\" \/><\/a> Figure 1[\/caption]\r\n\r\n[caption id=\"attachment_373\" align=\"alignleft\" width=\"2048\"]<a href=\"http:\/\/www.smartforecaster.net\/wp-content\/uploads\/2015\/04\/attention-index-figure-2.png\"><img class=\"size-full wp-image-373\" src=\"http:\/\/www.smartforecaster.net\/wp-content\/uploads\/2015\/04\/attention-index-figure-2.png\" alt=\"Twenty demonstrative graphs\" width=\"2048\" height=\"1019\" \/><\/a> Figure 2[\/caption]\r\n\r\n<em>Thomas Willemain, PhD, co-founded Smart Software and currently serves as Senior Vice President for Research. Dr. Willemain also serves as Professor Emeritus of Industrial and Systems Engineering at Rensselaer Polytechnic Institute and as a member of the research staff at the Center for Computing Sciences, Institute for Defense Analyses.<\/em>","_et_gb_content_width":"","content-type":"","footnotes":""},"categories":[205,30,1],"tags":[153,154,155,156,106,31,157,158,159,160],"class_list":["post-375","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-forecasting","category-uncategorized","tag-attention","tag-automation","tag-business-intelligence","tag-extrapolative","tag-forecast","tag-forecasting-2","tag-human-insight","tag-inventory-managment","tag-outliers","tag-rupture"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A Check on Forecast Automation with the Attention Index - Smart SOFTWARE<\/title>\n<meta name=\"description\" content=\"Introduces the &#039;Attention Index&#039; software tool to efficiently focus human effort perfecting automated forecasts for inventory management\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/smartcorp.com\/nl\/blog\/aandachtsindex\/\" \/>\n<meta property=\"og:locale\" content=\"nl_NL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Check on Forecast Automation with the Attention Index - Smart SOFTWARE\" \/>\n<meta property=\"og:description\" content=\"Introduces the &#039;Attention Index&#039; software tool to efficiently focus human effort perfecting automated forecasts for inventory management\" \/>\n<meta property=\"og:url\" content=\"https:\/\/smartcorp.com\/nl\/blog\/aandachtsindex\/\" \/>\n<meta property=\"og:site_name\" content=\"Smart Software\" \/>\n<meta property=\"article:published_time\" content=\"2015-04-22T12:50:07+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2020-06-19T19:40:42+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/smartcorp.com\/wp-content\/uploads\/2019\/07\/WEB-USER-RESOURCES2-1024x683.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"683\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Thomas Willemain, Ph.D.\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Geschreven door\" \/>\n\t<meta name=\"twitter:data1\" content=\"Thomas Willemain, Ph.D.\" \/>\n\t<meta name=\"twitter:label2\" content=\"Geschatte leestijd\" \/>\n\t<meta name=\"twitter:data2\" content=\"14 minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/smartcorp.com\/blog\/attention-index\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/smartcorp.com\/blog\/attention-index\/\"},\"author\":{\"name\":\"Thomas Willemain, Ph.D.\",\"@id\":\"https:\/\/smartcorp.com\/#\/schema\/person\/969772595cee39e0c3adff6b1ec21c4a\"},\"headline\":\"A Check on Forecast Automation with the Attention Index\",\"datePublished\":\"2015-04-22T12:50:07+00:00\",\"dateModified\":\"2020-06-19T19:40:42+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/smartcorp.com\/blog\/attention-index\/\"},\"wordCount\":2867,\"publisher\":{\"@id\":\"https:\/\/smartcorp.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/smartcorp.com\/blog\/attention-index\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/smartcorp.com\/wp-content\/uploads\/2019\/07\/WEB-USER-RESOURCES2.jpg\",\"keywords\":[\"attention\",\"automation\",\"business intelligence\",\"extrapolative\",\"forecast\",\"forecasting\",\"human insight\",\"inventory managment\",\"outliers\",\"rupture\"],\"articleSection\":[\"Blog\",\"Excellence in Forecasting\",\"Uncategorized\"],\"inLanguage\":\"nl-NL\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/smartcorp.com\/blog\/attention-index\/\",\"url\":\"https:\/\/smartcorp.com\/blog\/attention-index\/\",\"name\":\"A Check on Forecast Automation with the Attention Index - 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