{"id":595,"date":"2020-10-29T15:05:57","date_gmt":"2020-10-29T15:05:57","guid":{"rendered":"https:\/\/makeinnovation.work\/?p=595"},"modified":"2020-10-29T15:05:57","modified_gmt":"2020-10-29T15:05:57","slug":"customer-data-analytics-for-customer-insights","status":"publish","type":"post","link":"https:\/\/ustechsolutions.com\/customer-data-analytics-for-customer-insights\/","title":{"rendered":"Customer Data Analytics for Computer Data Harvesting, Processing and Analysis"},"content":{"rendered":"\n\n[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;||5px|||&#8221;][et_pb_row _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;-39px|auto||auto||&#8221;][et_pb_column _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; type=&#8221;4_4&#8243;][et_pb_text _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; sticky_enabled=&#8221;0&#8243; custom_margin=&#8221;||28px|||&#8221;]<h2>Purpose<\/h2>\n[\/et_pb_text][et_pb_text _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; sticky_enabled=&#8221;0&#8243; custom_margin=&#8221;-14px|||||&#8221;]<p>The ability of an enterprise to determine its customer value is influenced largely on its ability to understand the data it captures directly from customers, through interactions and transactions. Customer Data Analytics is a key element of any project to improve processes that underpin the customer experience offered by a business. Customer Experience is a term used to describe the relationship a customer has with a business. It refers to the total of all experiences the customer has with the business, based on all interactions and thoughts about the business. Equally important, it is an all-encompassing term. It includes communications touch-points, communications, emotional experience, behavior, data management, customer data platforms and technology ecosystems, and business model design implications.<\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;1px|||||&#8221;][et_pb_column _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; type=&#8221;4_4&#8243;][et_pb_text _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; sticky_enabled=&#8221;0&#8243; custom_margin=&#8221;||5px|||&#8221;]<h2>A Change Agent<\/h2>\n[\/et_pb_text][et_pb_text _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; sticky_enabled=&#8221;0&#8243; custom_margin=&#8221;14px|||||&#8221;]<p>Not only is Customer Data Analytics important to business strategy but also as a change agent to process improvement. It comes down to the ability of organizations to maximize customer value and minimize operating costs by understanding what drives customer behaviors and decisions.<\/p>\n[\/et_pb_text][et_pb_text _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; hover_enabled=&#8221;0&#8243; sticky_enabled=&#8221;0&#8243;]<p>In light of recent technology innovations like cloud computing and big data, it\u2019s now possible to develop systems and methods to fully appreciate what matters to customers by harvesting data from back-office systems. In like manner, it\u2019s also possible to determine how customers want to interact. This helps organizations to forge effective marketing programs based on facts underpinned by data.<\/p>\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; background_image=&#8221;https:\/\/makeinnovation.work\/wp-content\/uploads\/2020\/10\/livingwithrobots.png&#8221; custom_padding=&#8221;319px||13px|||&#8221;][et_pb_row column_structure=&#8221;2_5,3_5&#8243; _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px|||||&#8221;][et_pb_column type=&#8221;2_5&#8243; _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221;][et_pb_text _builder_version=&#8221;4.6.1&#8243; header_font_size=&#8221;14px&#8221; header_3_font=&#8221;Open Sans|600|||||||&#8221; header_3_text_align=&#8221;center&#8221; header_3_text_color=&#8221;#ffffff&#8221; header_3_font_size=&#8221;26px&#8221; header_3_line_height=&#8221;1.4em&#8221; background_color=&#8221;#8497b0&#8243; custom_margin=&#8221;10px||9px||false|false&#8221; custom_padding=&#8221;9px||0px|||&#8221;]<h3>LIVING WITH ROBOTS<\/h3>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Open Sans||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;20px&#8221; text_line_height=&#8221;1.5em&#8221; background_color=&#8221;#d8d6d6&#8243; custom_margin=&#8221;13px||14px|||&#8221; custom_padding=&#8221;10px|22px|19px|22px|false|false&#8221;]<p>How can your humans benefit from digital assistants?<\/p>[\/et_pb_text][et_pb_button button_text=&#8221;Read our analysis&#8221; button_alignment=&#8221;center&#8221; _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_color=&#8221;#ffffff&#8221; button_bg_color=&#8221;#000000&#8243; button_border_width=&#8221;0px&#8221; button_border_color=&#8221;#000000&#8243;][\/et_pb_button][\/et_pb_column][et_pb_column type=&#8221;3_5&#8243; _builder_version=&#8221;4.6.1&#8243; _module_preset=&#8221;default&#8221;][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n\n","protected":false},"excerpt":{"rendered":"<p>Purpose The ability of an enterprise to determine its customer value is influenced largely on its ability to understand the data it captures directly from customers, through interactions and transactions. Customer Data Analytics is a key element of any project to improve processes that underpin the customer experience offered by a business. Customer Experience is a term used to describe the relationship a customer has with a business. It refers to the total of all experiences the customer has with the business, based on all interactions and thoughts about the business. Equally important, it is an all-encompassing term. It includes communications touch-points, communications, emotional experience, behavior, data management, customer data platforms and technology ecosystems, and business model design implications. A Change Agent Not only is Customer Data Analytics important to business strategy but also as a change agent to process improvement. It comes down to the ability of organizations to maximize customer value and minimize operating costs by understanding what drives customer behaviors and decisions. In light of recent technology innovations like cloud computing and big data, it\u2019s now possible to develop systems and methods to fully appreciate what matters to customers by harvesting data from back-office systems. In like [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":662,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[7,21],"tags":[],"class_list":["post-595","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-intelligence","category-customer-experience"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Customer Data Analytics for Computer Data Harvesting, Processing and Analysis - USTech Solutions<\/title>\n<meta name=\"description\" content=\"In this short article, we talk about how Customer Data Analytics can be used for Customer Insights.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ustechsolutions.com\/customer-data-analytics-for-customer-insights\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Customer Data Analytics for Computer Data Harvesting, Processing and Analysis - 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