{"id":2744,"date":"2023-05-14T11:37:21","date_gmt":"2023-05-14T09:37:21","guid":{"rendered":"https:\/\/devstage.bix-consulting.com\/?page_id=2744"},"modified":"2024-02-14T11:19:46","modified_gmt":"2024-02-14T10:19:46","slug":"kuenstliche-intelligenz","status":"publish","type":"page","link":"https:\/\/teststage.bix-consulting.com\/en\/kuenstliche-intelligenz\/","title":{"rendered":"Artificial Intelligence"},"content":{"rendered":"[et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.20.4&#8243; background_image=&#8220;https:\/\/teststage.bix-consulting.com\/wp-content\/uploads\/2020\/08\/Smart-Data.jpg&#8220; min_height=&#8220;300px&#8220; custom_margin=&#8220;95px||||false|false&#8220; animation_style=&#8220;slide&#8220; animation_direction=&#8220;top&#8220; locked=&#8220;off&#8220; global_colors_info=&#8220;{}&#8220;][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; admin_label=&#8220;Smart Data Banner&#8220; module_id=&#8220;smart-data&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#f4f4f4&#8243; global_colors_info=&#8220;{}&#8220;][et_pb_row _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;]<h3>Smart Data<\/h3>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.20.4&#8243; locked=&#8220;off&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_row _builder_version=&#8220;4.20.4&#8243; custom_padding=&#8220;|20px||20px|false|false&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.16&#8243; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; text_font=&#8220;||||||||&#8220; custom_padding=&#8220;|10px||10px|false|false&#8220; global_colors_info=&#8220;{}&#8220; text_letter_spacing__hover_enabled=&#8220;on|desktop&#8220;]<p>In order to direct the mass of data in a modern company into the right channels and make it usable in the company, the classic means of data warehousing are often no longer sufficient. In particular, the three V's (Variety, Volume and Velocity) make it technically almost impossible to transfer all data into a structured data repository. Therefore, it is necessary to find new ways for this data to make its information content usable, to gain new insights and thus to transform big data into smart data.<\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.20.4&#8243; background_enable_color=&#8220;off&#8220; min_height=&#8220;476px&#8220; custom_margin=&#8220;||-2px|||&#8220; locked=&#8220;off&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_row column_structure=&#8220;1_2,1_2&#8243; _builder_version=&#8220;4.20.4&#8243; background_color=&#8220;#F4F4F4&#8243; transform_scale_last_edited=&#8220;off|desktop&#8220; transform_translate_last_edited=&#8220;off|desktop&#8220; transform_rotate_last_edited=&#8220;off|desktop&#8220; transform_skew_last_edited=&#8220;off|desktop&#8220; transform_origin_last_edited=&#8220;off|desktop&#8220; transform_styles_last_edited=&#8220;off|desktop&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; border_radii=&#8220;on|30px|30px|30px|30px&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;1_2&#8243; _builder_version=&#8220;4.16&#8243; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; text_font=&#8220;||||||||&#8220; header_2_font=&#8220;||||||||&#8220; transform_scale_last_edited=&#8220;off|tablet&#8220; transform_translate_last_edited=&#8220;off|tablet&#8220; transform_translate_linked_tablet=&#8220;off&#8220; transform_translate_linked_phone=&#8220;on&#8220; transform_rotate_last_edited=&#8220;off|tablet&#8220; transform_skew_last_edited=&#8220;off|tablet&#8220; transform_origin_last_edited=&#8220;off|tablet&#8220; transform_styles_last_edited=&#8220;off|tablet&#8220; custom_padding=&#8220;20px|10px|10px|10px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<div class=\"elementor-element elementor-element-dd5e373 elementor-widget elementor-widget-heading\" data-id=\"dd5e373\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n<div class=\"elementor-widget-container\">\n<h2 class=\"elementor-heading-title elementor-size-default\">Data strategy \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 <strong><span style=\"color: #ff9900;\"><\/span><\/strong><\/h2>\n<\/div>\n<\/div>\n<div class=\"elementor-element elementor-element-964e4ab elementor-widget elementor-widget-text-editor\" data-id=\"964e4ab\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n<div class=\"elementor-widget-container\">\n<div class=\"elementor-text-editor elementor-clearfix\">\n<p>The classic data warehouse as the single point of truth in the company is increasingly being replaced by the introduction of a data lake. While harmonized and quality-assured data is made available in the data warehouse, a data lake collects enormous amounts of unstructured and semi-structured data. biX Consulting provides consulting services to help you develop a data strategy customized for your company that combines the advantages of a high-performance data warehouse with the targeted preparation and use of classic big data scenarios. A highly integrated architecture on-premise or in the cloud leads to a reliable data landscape that meets the requirements of various departments as well as data scientists and is thus also prepared for future scenarios. We already have most of the necessary technologies in use in our Innovation Lab and can thus directly test your use cases.<\/p>\n<\/div>\n<\/div>\n<\/div>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8220;1_2&#8243; _builder_version=&#8220;4.16&#8243; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; text_font=&#8220;||||||||&#8220; header_2_font=&#8220;||||||||&#8220; transform_scale_tablet=&#8220;&#8220; transform_scale_phone=&#8220;&#8220; transform_scale_last_edited=&#8220;on|phone&#8220; transform_translate_tablet=&#8220;0px|0px&#8220; transform_translate_phone=&#8220;0px|0px&#8220; transform_translate_last_edited=&#8220;on|phone&#8220; transform_rotate_tablet=&#8220;&#8220; transform_rotate_phone=&#8220;&#8220; transform_rotate_last_edited=&#8220;on|phone&#8220; transform_skew_tablet=&#8220;&#8220; transform_skew_phone=&#8220;&#8220; transform_skew_last_edited=&#8220;on|phone&#8220; transform_origin_tablet=&#8220;&#8220; transform_origin_phone=&#8220;&#8220; transform_origin_last_edited=&#8220;on|phone&#8220; transform_styles_last_edited=&#8220;on|phone&#8220; custom_padding=&#8220;20px|10px|10px|10px|false|false&#8220; transform_styles_tablet=&#8220;&#8220; transform_styles_phone=&#8220;&#8220; locked=&#8220;off&#8220; global_colors_info=&#8220;{}&#8220;]<div class=\"elementor-element elementor-element-964e4ab elementor-widget elementor-widget-text-editor\" data-id=\"964e4ab\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n<div class=\"elementor-widget-container\">\n<div class=\"elementor-text-editor elementor-clearfix\">\n<h2>Advanced Analytics<\/h2>\n<p>Classical reporting based on the past is increasingly being supplemented by predictive approaches, which should make it possible to look into the future and automate as many work steps as possible. At the same time, more and more manual process steps are to be automated by artificial intelligence (AI) to become faster, make improved predictions and reduce the workload of specialist departments. This is generally referred to as advanced analytics. In addition to a data strategy for the high-quality provision of the required data, the integration of the required algorithms and data scientists is also an important success factor. We help you to find the right operating model for your company so that you can concentrate fully on the new approaches and use them sustainably in your company.<\/p>\n<\/div>\n<\/div>\n<\/div>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.16&#8243; _module_preset=&#8220;default&#8220; min_height=&#8220;699px&#8220; custom_padding=&#8220;3px|||||&#8220; border_color_all=&#8220;#ea7d00&#8243; global_colors_info=&#8220;{}&#8220;][et_pb_row use_custom_gutter=&#8220;on&#8220; gutter_width=&#8220;2&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_margin=&#8220;||||false|false&#8220; custom_padding=&#8220;||||false|false&#8220; locked=&#8220;off&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.16&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; text_font=&#8220;||||||||&#8220; custom_padding=&#8220;|30px||30px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h2>Next Generation Analytics Use Cases<\/h2>[\/et_pb_text][et_pb_text _builder_version=&#8220;4.20.4&#8243; custom_padding=&#8220;|30px||30px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<p style=\"text-align: justify;\">In the context of our projects, we are repeatedly confronted with complex and complicated problems that go far beyond classical analytics topics. By solving these problems, we rely on technologies such as artificial intelligence and machine learning to achieve the best results for our customers and create real surplus value. In the following, you will find some of our already successfully executed use cases.<\/p>\n<p style=\"text-align: center;\"><span>\u00a0<\/span><\/p>[\/et_pb_text][et_pb_blog fullwidth=&#8220;off&#8220; posts_number=&#8220;8&#8243; include_categories=&#8220;32&#8243; show_more=&#8220;on&#8220; show_author=&#8220;off&#8220; show_date=&#8220;off&#8220; show_categories=&#8220;off&#8220; show_pagination=&#8220;off&#8220; masonry_tile_background_color=&#8220;#F4F4F4&#8243; _builder_version=&#8220;4.21.0&#8243; _module_preset=&#8220;default&#8220; header_level=&#8220;h6&#8243; header_font=&#8220;||||||||&#8220; header_text_color=&#8220;#000000&#8243; header_font_size=&#8220;18px&#8220; header_line_height=&#8220;1.1em&#8220; body_font=&#8220;Roboto|300|||||||&#8220; meta_font=&#8220;||||||||&#8220; meta_text_color=&#8220;#8f8f8f&#8220; meta_font_size=&#8220;12px&#8220; read_more_text_color=&#8220;#F18900&#8243; hover_enabled=&#8220;0&#8243; custom_css_title=&#8220;height: 70px!important;&#8220; custom_css_content=&#8220;height: 140px!important;&#8220; border_radii=&#8220;on|20px|20px|20px|20px&#8220; border_width_all=&#8220;0px&#8220; border_radii_image=&#8220;off|25px|25px||&#8220; border_width_all_image=&#8220;15px&#8220; border_color_all_image=&#8220;RGBA(255,255,255,0)&#8220; global_colors_info=&#8220;{}&#8220; sticky_enabled=&#8220;0&#8243;][\/et_pb_blog][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; admin_label=&#8220;Banner biX AI Tools&#8220; module_id=&#8220;bix-ai-tools&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#f4f4f4&#8243; global_colors_info=&#8220;{}&#8220;][et_pb_row _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;]<h1>biX AI Tools<\/h1>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; disabled_on=&#8220;off|off|off&#8220; _builder_version=&#8220;4.20.4&#8243; background_enable_color=&#8220;off&#8220; custom_padding=&#8220;||||false|false&#8220; locked=&#8220;off&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_row _builder_version=&#8220;4.20.4&#8243; background_color=&#8220;#f4f4f4&#8243; transform_scale_last_edited=&#8220;off|phone&#8220; transform_translate_last_edited=&#8220;off|phone&#8220; transform_rotate_last_edited=&#8220;off|phone&#8220; transform_skew_last_edited=&#8220;off|phone&#8220; transform_origin_last_edited=&#8220;off|phone&#8220; transform_styles_last_edited=&#8220;off|phone&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; border_radii=&#8220;on|30px|30px|30px|30px&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.16&#8243; global_colors_info=&#8220;{}&#8220;][et_pb_text admin_label=&#8220;Text AI Tools&#8220; _builder_version=&#8220;4.20.4&#8243; text_font=&#8220;||||||||&#8220; transform_scale_last_edited=&#8220;off|desktop&#8220; transform_translate_last_edited=&#8220;off|desktop&#8220; transform_rotate_last_edited=&#8220;off|desktop&#8220; transform_skew_last_edited=&#8220;off|desktop&#8220; transform_origin_last_edited=&#8220;off|desktop&#8220; transform_styles_last_edited=&#8220;off|desktop&#8220; custom_padding=&#8220;|10px||10px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<p>The biX AI Tools are a collection of tools that enable you to quickly start your advanced analytics project. With our customized toolset, you can set up completely native SAP technology as well as realize non-SAP use cases together with us and later make them permanently usable in regular operation.<\/p>\n<p>The components of the biX AI tools include predictive content and analytical content as well as process models for the successful preparation and implementation of AI and ML projects.<\/p>\n<p>Benefit from our experience in already successfully implemented projects. In addition to the right project setup and the required data sources with sufficient data quality, we focus on the visualization of the results in order to bring trust and transparency to the relationships found.<\/p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;0px||||false|false&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_row _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;||||false|false&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; header_2_text_align=&#8220;center&#8220; header_2_text_color=&#8220;#FFFFFF&#8220; background_color=&#8220;#F18900&#8243; custom_margin=&#8220;||||false|false&#8220; custom_padding=&#8220;10px||10px||false|false&#8220; border_width_all=&#8220;2px&#8220; border_color_all=&#8220;#FFFFFF&#8220; global_colors_info=&#8220;{}&#8220;]<h2><strong>biX AI Tools<\/strong><\/h2>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8220;1_5,1_5,1_5,1_5,1_5&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;0px||||false|false&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;1_5&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; header_2_text_align=&#8220;center&#8220; header_2_text_color=&#8220;#FFFFFF&#8220; background_color=&#8220;#F18900&#8243; height=&#8220;80px&#8220; custom_margin=&#8220;|5px||5px|false|false&#8220; custom_padding=&#8220;10px||||false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h2>Predictive Content<\/h2>[\/et_pb_text][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; height=&#8220;200px&#8220; height_tablet=&#8220;200px&#8220; height_phone=&#8220;200px&#8220; height_last_edited=&#8220;on|desktop&#8220; custom_margin=&#8220;|5px||5px|false|false&#8220; custom_padding=&#8220;|10px||10px|false|false&#8220; border_width_all=&#8220;2px&#8220; border_color_all=&#8220;#F18900&#8243; global_colors_info=&#8220;{}&#8220;]<ul>\n<li>Forecasting<\/li>\n<li>Customer Churn<\/li>\n<\/ul>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8220;1_5&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; header_2_text_align=&#8220;center&#8220; header_2_text_color=&#8220;#FFFFFF&#8220; background_color=&#8220;#F18900&#8243; height=&#8220;80px&#8220; custom_margin=&#8220;|5px||5px|false|false&#8220; custom_padding=&#8220;10px||||false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h2>Analytical Content<\/h2>[\/et_pb_text][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; height=&#8220;200px&#8220; height_tablet=&#8220;200px&#8220; height_phone=&#8220;200px&#8220; height_last_edited=&#8220;on|desktop&#8220; custom_margin=&#8220;|5px||5px|false|false&#8220; custom_padding=&#8220;|10px||10px|false|false&#8220; border_width_all=&#8220;2px&#8220; border_color_all=&#8220;#F18900&#8243; global_colors_info=&#8220;{}&#8220;]<ul>\n<li>Market Basket Analysis<\/li>\n<li>Recommendation Systems<\/li>\n<li>Exception Reporting<\/li>\n<li>AI Master Data Optimisation<\/li>\n<\/ul>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8220;1_5&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; header_2_text_align=&#8220;center&#8220; header_2_text_color=&#8220;#FFFFFF&#8220; background_color=&#8220;#F18900&#8243; height=&#8220;80px&#8220; custom_margin=&#8220;|5px||5px|false|false&#8220; custom_padding=&#8220;10px||||false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h2>AI Visualisation<\/h2>[\/et_pb_text][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; height=&#8220;200px&#8220; height_tablet=&#8220;200px&#8220; height_phone=&#8220;200px&#8220; height_last_edited=&#8220;on|desktop&#8220; custom_margin=&#8220;|5px||5px|false|false&#8220; custom_padding=&#8220;|10px||10px|false|false&#8220; border_width_all=&#8220;2px&#8220; border_color_all=&#8220;#F18900&#8243; global_colors_info=&#8220;{}&#8220;]<ul>\n<li>Decision Trees<\/li>\n<li>Geo Data<\/li>\n<li>Networks<\/li>\n<li>UI5<\/li>\n<li>SAP SAC<\/li>\n<li>Tableau<\/li>\n<li>MS Power BI<\/li>\n<\/ul>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8220;1_5&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; header_2_text_align=&#8220;center&#8220; header_2_text_color=&#8220;#FFFFFF&#8220; background_color=&#8220;#F18900&#8243; height=&#8220;80px&#8220; custom_margin=&#8220;|5px||5px|false|false&#8220; custom_padding=&#8220;10px||||false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h2>AI Readiness<\/h2>[\/et_pb_text][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; height=&#8220;200px&#8220; height_tablet=&#8220;200px&#8220; height_phone=&#8220;200px&#8220; height_last_edited=&#8220;on|desktop&#8220; custom_margin=&#8220;|5px||5px|false|false&#8220; custom_padding=&#8220;|10px||10px|false|false&#8220; border_width_all=&#8220;2px&#8220; border_color_all=&#8220;#F18900&#8243; global_colors_info=&#8220;{}&#8220;]<ul>\n<li>ETL for AI Applications<\/li>\n<li>Common Data Sources for AI Applications<\/li>\n<\/ul>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8220;1_5&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; header_2_text_align=&#8220;center&#8220; header_2_text_color=&#8220;#FFFFFF&#8220; background_color=&#8220;#F18900&#8243; height=&#8220;80px&#8220; custom_margin=&#8220;|5px||5px|false|false&#8220; custom_padding=&#8220;10px||||false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h2>Management<br>AI Projects<\/h2>[\/et_pb_text][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; height=&#8220;200px&#8220; height_tablet=&#8220;200px&#8220; height_phone=&#8220;200px&#8220; height_last_edited=&#8220;on|tablet&#8220; custom_margin=&#8220;|5px||5px|false|false&#8220; custom_padding=&#8220;|10px||10px|false|false&#8220; border_width_all=&#8220;2px&#8220; border_color_all=&#8220;#F18900&#8243; global_colors_info=&#8220;{}&#8220;]<ul>\n<li>Project Setup<\/li>\n<li>Scoping<\/li>\n<li>Expectation Management<\/li>\n<li>CRISP-DM<\/li>\n<li>RISK Mitigation<\/li>\n<\/ul>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#f4f4f4&#8243; global_colors_info=&#8220;{}&#8220;][et_pb_row _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;]<h3>Predictive Content<\/h3>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_row column_structure=&#8220;3_5,2_5&#8243; make_equal=&#8220;on&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#f4f4f4&#8243; custom_padding=&#8220;20px|20px|20px|20px|false|false&#8220; border_radii=&#8220;on|30px|30px|30px|30px&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;3_5&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_margin=&#8220;||||false|false&#8220; custom_padding=&#8220;|10px||10px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h2>A new opportunity - for your data<\/h2>\n<p style=\"text-align: justify;\">Without additional investment and without the usual high administrative effort, the data available in SAP BW (from version 7.3) and in HANA can be used for forecasting, basket analyses or exception reporting. Predictive Content is a framework that can be adapted to changing system environments at any time and expanded to include new areas of analysis.<\/p>\n<p style=\"text-align: justify;\">The intuitive machine learning component ensures fast implementation times and easy adaptation of the algorithms to new parameters. The insights gained can be visualized with standard tools such as MS Excel, SAP Analytics Cloud, SAP Lumira Designer, SAP Analysis for Office, Tableau, or other solutions.1 Data located outside SAP BW (for example in Oracle databases) can also be included in the analysis at runtime using SAP Data Hub. For this purpose, the Predictive Content provides a set of highly efficient Python components.<\/p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8220;2_5&#8243; module_class=&#8220;vertikal-zentrieren&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#ffffff&#8220; custom_padding=&#8220;||||false|false&#8220; border_radii=&#8220;off||20px|20px|&#8220; border_radii_tablet=&#8220;off||0px|20px|20px&#8220; border_radii_phone=&#8220;off||0px|20px|20px&#8220; border_radii_last_edited=&#8220;on|phone&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_image src=&#8220;https:\/\/teststage.bix-consulting.com\/wp-content\/uploads\/2023\/04\/Predictive-Content.png&#8220; title_text=&#8220;Predictive Content&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;20px|10px|20px|10px|false|false&#8220; global_colors_info=&#8220;{}&#8220;][\/et_pb_image][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; text_text_color=&#8220;#14243D&#8220; header_6_font=&#8220;|600|||||||&#8220; header_6_text_align=&#8220;center&#8220; header_6_text_color=&#8220;#14243D&#8220; header_6_font_size=&#8220;18px&#8220; custom_padding=&#8220;20px|10px|20px|10px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h6>enables the extraction of new insights from data treasures in SAP BW and a digitalization of business models in your company.<\/h6>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;0px||0px||false|false&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_row column_structure=&#8220;1_3,2_3&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|||40px|false|false&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;1_3&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_image src=&#8220;https:\/\/teststage.bix-consulting.com\/wp-content\/uploads\/2023\/04\/Predictive-Content.png&#8220; title_text=&#8220;Predictive Content&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8220;2_3&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; header_6_font=&#8220;|600|||||||&#8220; header_6_text_color=&#8220;#14243D&#8220; header_6_font_size=&#8220;20px&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h6 style=\"text-align: center;\">complements the framework and has already fully developed and implemented three application modules.<\/h6>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_row column_structure=&#8220;1_3,1_3,1_3&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#f4f4f4&#8243; custom_padding=&#8220;|20px||20px|false|false&#8220; border_radii=&#8220;on|25px|25px|25px|25px&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;1_3&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;20px|10px||10px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h4>Forecasting<\/h4>\n<p>Predictive content enables a reliable prediction of events, conditions or developments in the future and can be used in many scenarios - for example:<\/p>\n<ul>\n<li>\u00a0Production planning<\/li>\n<li>\u00a0Simulation scenarios<\/li>\n<li>\u00a0Maintenance cases<\/li>\n<li>\u00a0Medicine<\/li>\n<li>\u00a0Speech recognition<\/li>\n<li>\u00a0Customer loyalty<\/li>\n<\/ul>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8220;1_3&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;20px|10px||10px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h4>Object group analysis<\/h4>\n<p>Predictive Content is used to analyze interrelationships of objects and events, for example in the following use cases:<\/p>\n<ul>\n<li>Common configuration patterns (e.g. cars)<\/li>\n<li>Shopping basket analyses<\/li>\n<li>Portfolio analyses<\/li>\n<li>Failure-prone parts in machine groups<\/li>\n<li>Purchase recommendations (up-\/cross-selling)<\/li>\n<\/ul>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8220;1_3&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;20px|10px||10px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h4>Exception Reporting<\/h4>\n<p>Predictive content acts as an early warning system to immediately detect and counteract possible variations from action norms or states. Through machine learning, the solution adapts to new circumstances and changes and can thus be trained and gradually perfected. Possible areas of application are:<\/p>\n<ul>\n<li>Customer churn (churn prediction)<\/li>\n<li>Credit risks<\/li>\n<li>System failures and downtimes<\/li>\n<\/ul>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_row column_structure=&#8220;1_2,1_2&#8243; make_equal=&#8220;on&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#f4f4f4&#8243; custom_padding=&#8220;20px|20px|20px|20px|false|false&#8220; border_radii=&#8220;on|25px|25px|25px|25px&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;1_2&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|10px||10px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h2>Concentration on the essentials<\/h2>\n<p style=\"text-align: justify;\">A key feature of predictive content is the compactness of the solution and the associated holistic support of the process from simple data access to SAP BW and the data models implemented there to an intuitive data console where data and algorithms can be easily selected and parameterized. Data models that have already been used or trained can be imported into predictive content and processed there in a simple process. If required, further data sources can be connected at runtime via the optional SAP Data Hub.<\/p>\n<p style=\"text-align: justify;\">Access to the SAP HANA Predictive Analysis Library and other classes (ABAP, SQL Script, SQL) is transparent and can be carried out by experienced business users. No complex native HANA development is required. Predictive Content explores the data for the user and thus makes it unnecessary to work exploratively with the data. The user can focus more on the exploitation and benefit of the insights gained through automation.<\/p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8220;1_2&#8243; module_class=&#8220;vertikal-zentrieren&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_image src=&#8220;https:\/\/teststage.bix-consulting.com\/wp-content\/uploads\/2023\/04\/Hintergrund-predictive-content.png&#8220; title_text=&#8220;Hintergrund predictive content&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;20px|40px|20px|40px|false|false&#8220; border_radii=&#8220;off||15px|15px|&#8220; border_radii_tablet=&#8220;off||0px||15px&#8220; border_radii_phone=&#8220;off||0px|15px|15px&#8220; border_radii_last_edited=&#8220;on|phone&#8220; global_colors_info=&#8220;{}&#8220;][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; admin_label=&#8220;Architektur&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_row column_structure=&#8220;1_3,2_3&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|||40px|false|false&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;1_3&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_image src=&#8220;https:\/\/teststage.bix-consulting.com\/wp-content\/uploads\/2023\/04\/Predictive-Content.png&#8220; title_text=&#8220;Predictive Content&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8220;2_3&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; header_6_font=&#8220;|600|||||||&#8220; header_6_text_color=&#8220;#14243D&#8220; header_6_font_size=&#8220;20px&#8220; custom_padding=&#8220;13px|||5px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h6>Architecture<\/h6>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=&#8220;on|phone&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|20px||20px|false|false&#8220; custom_padding_tablet=&#8220;|20px||20px|false|false&#8220; custom_padding_phone=&#8220;|0px||0px|false|false&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_image src=&#8220;https:\/\/teststage.bix-consulting.com\/wp-content\/uploads\/2023\/04\/Predictive-Content-Architektur.png&#8220; title_text=&#8220;Predictive Content Architektur&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_margin_tablet=&#8220;&#8220; custom_margin_phone=&#8220;||||false|false&#8220; custom_margin_last_edited=&#8220;on|phone&#8220; custom_padding=&#8220;|0px||0px|false|false&#8220; global_colors_info=&#8220;{}&#8220;][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_row column_structure=&#8220;1_2,1_2&#8243; make_equal=&#8220;on&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#F4F4F4&#8243; custom_padding=&#8220;20px|20px|20px|20px|false|false&#8220; border_radii=&#8220;on|30px|30px|30px|30px&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;1_2&#8243; module_class=&#8220;vertikal-zentrieren&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; custom_padding=&#8220;|10px||10px|false|false&#8220; global_colors_info=&#8220;{}&#8220;]<p><span><span class=\"ui-provider cga cgb c d e f g h i j k l m n o p q r s t cgc cgd w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">All information on predictive content for you at a glance.<\/span><\/span><\/p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8220;1_2&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_icon font_icon=&#8220;&#xe092;||divi||400&#8243; icon_width=&#8220;50px&#8220; url=&#8220;https:\/\/teststage.bix-consulting.com\/wp-content\/uploads\/2023\/04\/A4-predictive_content-Flyer_DE.pdf&#8220; url_new_window=&#8220;on&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][\/et_pb_icon][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; admin_label=&#8220;Banner Ansprechpartner&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#f4f4f4&#8243; global_colors_info=&#8220;{}&#8220;][et_pb_row _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;]<h3 class=\" translation-block\">Contact<\/h3>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8220;1&#8243; admin_label=&#8220;Sebastan&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_row _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;#f4f4f4&#8243; module_alignment=&#8220;center&#8220; custom_padding=&#8220;0px||||false|false&#8220; custom_css_main_element=&#8220;width: 320px!important;&#8220; border_radii=&#8220;on|25px|25px|25px|25px&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_column type=&#8220;4_4&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_image src=&#8220;https:\/\/teststage.bix-consulting.com\/wp-content\/uploads\/2023\/04\/Bloetz_320.jpg&#8220; title_text=&#8220;Bloetz_320&#8243; align=&#8220;center&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; width=&#8220;320px&#8220; width_tablet=&#8220;320px&#8220; width_phone=&#8220;320px&#8220; width_last_edited=&#8220;on|desktop&#8220; custom_padding=&#8220;10px|10px|0px|10px|false|false&#8220; border_radii=&#8220;off|15px|15px||&#8220; global_colors_info=&#8220;{}&#8220;][\/et_pb_image][et_pb_text _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; width=&#8220;320px&#8220; module_alignment=&#8220;center&#8220; custom_padding=&#8220;30px||||false|false&#8220; global_colors_info=&#8220;{}&#8220;]<h5>Sebastian Bl\u00f6tz<\/h5>\n<h6 style=\"text-align: center;\">Head of Consulting<\/h6>[\/et_pb_text][et_pb_social_media_follow icon_color=&#8220;#000000&#8243; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; text_orientation=&#8220;center&#8220; width=&#8220;320px&#8220; custom_padding=&#8220;20px||30px||false|false&#8220; global_colors_info=&#8220;{}&#8220;][et_pb_social_media_follow_network social_network=&#8220;linkedin&#8220; url=&#8220;https:\/\/www.linkedin.com\/company\/bix-consulting-gmbh-&#038;-co-kg&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;rgba(0,123,182,0)&#8220; background_enable_color=&#8220;on&#8220; global_colors_info=&#8220;{}&#8220; follow_button=&#8220;off&#8220; url_new_window=&#8220;on&#8220;]linkedin[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network url=&#8220;mailto:sebastian.bloetz@bix-consulting.de&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_image=&#8220;https:\/\/teststage.bix-consulting.com\/wp-content\/uploads\/2023\/03\/Briefumschlag02-1.png&#8220; background_enable_image=&#8220;on&#8220; background_size=&#8220;contain&#8220; global_colors_info=&#8220;{}&#8220; follow_button=&#8220;off&#8220; url_new_window=&#8220;on&#8220;][\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=&#8220;xing&#8220; url=&#8220;https:\/\/www.xing.com\/pages\/bixconsultinggmbh-co-kg&#8220; _builder_version=&#8220;4.20.4&#8243; _module_preset=&#8220;default&#8220; background_color=&#8220;rgba(2,100,102,0)&#8220; background_enable_color=&#8220;on&#8220; global_colors_info=&#8220;{}&#8220; follow_button=&#8220;off&#8220; url_new_window=&#8220;on&#8220;]xing[\/et_pb_social_media_follow_network][\/et_pb_social_media_follow][\/et_pb_column][\/et_pb_row][\/et_pb_section]","protected":false},"excerpt":{"rendered":"<p>Smart DataUm die Datenflut eines modernen Unternehmens in die richtigen Kan\u00e4le zu lenken und im Unternehmen nutzbar zu machen, sind die klassischen Mittel des Data Warehousing h\u00e4ufig nicht mehr ausreichend. Insbesondere die drei V\u2018s (Variety, Volume und Velocity) machen es technisch nahezu unm\u00f6glich, alle Daten in eine strukturierte Datenablage zu \u00fcberf\u00fchren. Daher ist es n\u00f6tig, [&hellip;]<\/p>","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","_lmt_disableupdate":"no","_lmt_disable":"","footnotes":""},"_links":{"self":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/pages\/2744"}],"collection":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/comments?post=2744"}],"version-history":[{"count":2,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/pages\/2744\/revisions"}],"predecessor-version":[{"id":7217,"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/pages\/2744\/revisions\/7217"}],"wp:attachment":[{"href":"https:\/\/teststage.bix-consulting.com\/en\/wp-json\/wp\/v2\/media?parent=2744"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}