{"id":100630,"date":"2025-05-22T09:39:36","date_gmt":"2025-05-22T04:09:36","guid":{"rendered":"https:\/\/cloudfoundation.com\/blog\/?p=100630"},"modified":"2025-05-22T10:16:50","modified_gmt":"2025-05-22T04:46:50","slug":"how-to-use-datorama-patterns-for-seamless-data-integration-and-classification","status":"publish","type":"post","link":"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/","title":{"rendered":"How to Use Datorama Patterns for Seamless Data Integration and Classification?"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.9.7&#8243;][et_pb_row _builder_version=&#8221;4.9.7&#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;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_post_title meta=&#8221;off&#8221; featured_image=&#8221;off&#8221; _builder_version=&#8221;4.9.7&#8243; title_font=&#8221;Times New Roman||||||||&#8221; title_text_align=&#8221;left&#8221; title_text_color=&#8221;#000000&#8243; title_font_size=&#8221;47&#8243; background_color=&#8221;RGBA(0,0,0,0)&#8221; background_enable_image=&#8221;off&#8221; custom_margin=&#8221;|||10%&#8221; title_font_size_tablet=&#8221;40&#8243; title_font_size_phone=&#8221;35&#8243; title_font_size_last_edited=&#8221;on|desktop&#8221;][\/et_pb_post_title][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.9.7&#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;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_80 ez-toc-wrap-center counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<span class=\"ez-toc-title-toggle\"><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Understanding_Patterns_in_Datorama\" >Understanding Patterns in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#How_to_Find_and_Use_Patterns_in_Datorama\" >How to Find and Use Patterns in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Why_Datorama_Patterns_Matter\" >Why Datorama Patterns Matter<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Creating_Patterns_in_Datorama\" >Creating Patterns in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Scaling_Data_Organisation_with_Datorama_Patterns\" >Scaling Data Organisation with Datorama Patterns<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Optimising_Data_Streams_in_Datorama\" >Optimising Data Streams in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Leveraging_Datorama_Patterns_for_Better_Performance\" >Leveraging Datorama Patterns for Better Performance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Understanding_Data_Streams_with_Datorama\" >Understanding Data Streams with Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Filtering_and_Classification_in_Datorama\" >Filtering and Classification in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Manual_vs_Automated_Setup_in_Datorama\" >Manual vs. Automated Setup in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Data_Structuring_and_Naming_Conventions_in_Datorama\" >Data Structuring and Naming Conventions in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Classifying_Campaign_Components_in_Datorama\" >Classifying Campaign Components in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Building_Effective_Data_Streams_in_Datorama\" >Building Effective Data Streams in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Understanding_Datorama_and_Campaign_Patterns\" >Understanding Datorama and Campaign Patterns<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Datoramas_Approach_to_Harmonised_Dimensions\" >Datorama&#8217;s Approach to Harmonised Dimensions<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Building_Patterns_with_Datorama\" >Building Patterns with Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Datorama_Enhances_Data_Visualisation\" >Datorama Enhances Data Visualisation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Ensuring_Structure_Compliance_with_Datorama\" >Ensuring Structure Compliance with Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Datorama_and_Taxonomy_Governance\" >Datorama and Taxonomy Governance<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Combining_Data_Classification_with_Datorama\" >Combining Data Classification with Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Understanding_Datoramas_Mapping_Process\" >Understanding Datorama&#8217;s Mapping Process<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Connecting_and_Mixing_Data_in_Datorama\" >Connecting and Mixing Data in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Custom_Attributes_in_Datorama\" >Custom Attributes in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Optimising_Data_Sets_with_Datorama\" >Optimising Data Sets with Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Streamlined_Mapping_Experience_in_Datorama\" >Streamlined Mapping Experience in Datorama<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-26\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Datorama_Mapping_and_Custom_Attributes\" >Datorama Mapping and Custom Attributes<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-27\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Datorama_Data_Verification_and_Field_Mapping\" >Datorama Data Verification and Field Mapping<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-28\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Datorama_Calculated_Measurements_and_Native_Columns\" >Datorama Calculated Measurements and Native Columns<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-29\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Datorama_Campaign_Data_Updates\" >Datorama Campaign Data Updates<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-30\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Datorama_Automation_Features\" >Datorama Automation Features<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-31\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/#Datorama_Unlocking_Automation_with_Cloud_Storage\" >Datorama: Unlocking Automation with Cloud Storage<\/a><\/li><\/ul><\/nav><\/div>\n\n<h2><span class=\"ez-toc-section\" id=\"Understanding_Patterns_in_Datorama\"><\/span><strong><span>Understanding Patterns in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Patterns play an integral part in <a href=\"https:\/\/cloudfoundation.com\/blog\/salesforce-datorama\/\" target=\"_blank\" rel=\"noopener\"><strong>Datorama&#8217;s data organisation<\/strong><\/a> capabilities. <\/span><\/p>\n<p><span>We utilise them to extract meaningful insights from complex datasets without resorting to extensive coding.<\/span><\/p>\n<p><span>Think of patterns as innovative ways of classifying and bucketing information that make reference and analysis simpler.<\/span><\/p>\n<p><span>Patterns simplify handling large volumes of campaign data by eliminating the need to define variables or write complex formulas manually. <\/span><\/p>\n<p><span>By setting patterns, we can seamlessly categorise attributes such as car name, car category name and promotion name within Datorama without incurring delays caused by manual data input or formula writing.<\/span><\/p>\n<p><span><img decoding=\"async\" width=\"800\" height=\"2424\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Datorama-Data-Patterns.png\" alt=\"SalesForce Datorama Training\" class=\"size-medium aligncenter\"><\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"How_to_Find_and_Use_Patterns_in_Datorama\"><\/span><strong><span>How to Find and Use Patterns in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama provides patterns in its Connect and Mix section for quick accessibility, then in its Harmonisation Setup, where these can be defined and utilised to segregate data more effectively and harmonise dimensions more successfully.<\/span><\/p>\n<p><span>Patterns provide an optimal solution when we encounter overlapping elements or inconsistencies in <a href=\"https:\/\/cloudfoundation.com\/blog\/data-mining-interview-questions\" target=\"_blank\" rel=\"noopener\"><strong>data classification<\/strong><\/a>.<\/span><\/p>\n<p>Their implementation ensures greater scalability and organisation of our information systems.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Why_Datorama_Patterns_Matter\"><\/span><strong><span>Why Datorama Patterns Matter<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Imagine managing different data streams within Datorama, each requiring classification, some from media buys and others from campaign details. <\/span><\/p>\n<p><span>Manually handling such diverse information would involve endless formulas requiring tedious attention to detail for its management, rendering manual management cumbersome indeed.<\/span><\/p>\n<p><span>Datorama simplifies classification by recognising recurring structures within data, thus eliminating redundancies and improving visualisation performance, helping prevent crashes and slow load times.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Creating_Patterns_in_Datorama\"><\/span><strong><span>Creating Patterns in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Establishing patterns within Datorama is straightforward. <\/span><\/p>\n<p><span>Navigate to Harmonisation Centre Patterns and create your new pattern by specifying its name and source dimensions.<\/span><span><\/span><br \/>\n<video poster=\"https:\/\/cloudfoundation.com\/blog\/wp-content\/plugins\/a3-lazy-load\/assets\/images\/lazy_placeholder.gif\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Datorama-Patterns-Efficiency.webm\" autoplay=\"autoplay\" loop=\"loop\" muted=\"\" width=\"800\" height=\"auto\"><\/video><br \/>\n<span>To effectively classify media buys, we select their respective attributes from our dataset and assign them to Datorama, enabling it to recognise and categorise data appropriately, thereby increasing automation and accuracy.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Scaling_Data_Organisation_with_Datorama_Patterns\"><\/span><strong><span>Scaling Data Organisation with Datorama Patterns<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>One of Datorama&#8217;s hallmark patterns is its scalability. <\/span><\/p>\n<p><span>We currently manage only two datasets, but this could change dramatically.<\/span><\/p>\n<p><span>In such circumstances, manual formula writing would no longer suffice.<\/span><\/p>\n<p>Patterns offer an effective solution by automatically identifying similarities among datasets, thereby creating a smoother workflow without the need for frequent formula updates.[\/et_pb_text][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Optimising_Data_Streams_in_Datorama\"><\/span><strong><span>Optimising Data Streams in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Imagine an environment where different datasets contain similar information but use different naming conventions for it. <\/span><\/p>\n<p><span>For instance, media buy details can be taken directly from media buy records, while campaign records would contain identical information, including publisher details and campaign activity data.<\/span><\/p>\n<p><span><a href=\"https:\/\/cloudfoundation.com\/blog\/what-is-salesforce-datorama\/\" target=\"_blank\" rel=\"noopener\"><strong>Datorama patterns<\/strong><\/a> enable us to easily unify datasets by mapping their structures effectively, regardless of whether their source is media buys or campaigns. <\/span><\/p>\n<p><span>These patterns ensure consistency and precision in classification.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Leveraging_Datorama_Patterns_for_Better_Performance\"><\/span><strong><span>Leveraging Datorama Patterns for Better Performance<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Without patterns, data visualisation in Datorama could quickly become slow and ineffective.<\/span><\/p>\n<p><span><img decoding=\"async\" width=\"800\" height=\"1070\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Data-Modulation.png\" alt=\"SalesForce Datorama Training\" class=\"size-medium aligncenter\"><\/span><\/p>\n<p><span>A minor change would necessitate recreating formulas, causing unnecessary delays.<\/span><\/p>\n<p><span>Herein lies the potential of patterns of patterns as powerful instruments of data harmonisation.<\/span><\/p>\n<p><span>By creating predefined patterns, we eliminate redundant processing steps and boost system performance. <\/span><\/p>\n<p><span>Data loads faster, visualisations remain stable, and users can interact seamlessly with dashboards.<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Understanding_Data_Streams_with_Datorama\"><\/span><strong><span>Understanding Data Streams with Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama requires you to think in terms of multiple data streams when working with it, not just one or two streams at a time, but hundreds.<\/span><\/p>\n<p><span>Think about handling hundreds of media buy names at one time. <\/span><\/p>\n<p><span>How can Datorama organise these effectively?<\/span><\/p>\n<p><span>Datorama offers a streamlined approach for filtering and categorising data streams. <\/span><\/p>\n<p><span>If managing media buys and data streams, filters enable you to select relevant information and refine placements with ease and efficiency. <\/span><\/p>\n<p><span>At the same time, Datorama&#8217;s classification process helps organise them on every level of <a href=\"https:\/\/cloudfoundation.com\/blog\/data-structures-interview-questions\" target=\"_blank\" rel=\"noopener\"><strong>data structure<\/strong><\/a>.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Filtering_and_Classification_in_Datorama\"><\/span><strong><span>Filtering and Classification in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama offers the flexibility to add filters to data sources and streams, facilitating easier organisation of your workspace. <\/span><\/p>\n<p><span>After applying any filter, Datorama automatically classifies media buy data into distinct categories.<\/span><\/p>\n<p><span>Can select multiple media buy names at once?<\/span><\/p>\n<p><span><img decoding=\"async\" width=\"800\" height=\"2298\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Datorama-Data-Streams-1.png\" alt=\"SalesForce Datorama Training\" class=\"size-medium aligncenter\"><\/span><\/p>\n<p><span>Ultimately, that depends on how closely patterns align within your dataset. <\/span><\/p>\n<p><span>If all alignment is perfect, Datorama provides only one selection option at any given point in time.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Manual_vs_Automated_Setup_in_Datorama\"><\/span><strong><span>Manual vs. Automated Setup in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama offers two setup options: manual and automated. <\/span><\/p>\n<p><span>Manual configuration requires manually adding individual positions.<\/span><\/p>\n<p><span>Datorama&#8217;s automated solution simplifies data classification, ensuring compliance and maintaining structural integrity.<\/span><\/p>\n<p><span>Datorama provides a toggle box to indicate whether the data structure meets compliance. <\/span><\/p>\n<p><span>If there are fragmented portions, Datorama enables efficient management of delimiters.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#064399&#8243; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_start=&#8221;#0095f2&#8243; background_color_gradient_end=&#8221;#7dbed8&#8243; background_color_gradient_direction=&#8221;92deg&#8221; background_color_gradient_start_position=&#8221;35%&#8221; background_color_gradient_end_position=&#8221;80%&#8221; transform_scale=&#8221;73%|62%&#8221; transform_scale_linked=&#8221;off&#8221; transform_translate=&#8221;-53px|-50px&#8221; transform_translate_linked=&#8221;off&#8221; link_option_url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; link_option_url_new_window=&#8221;on&#8221;][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221;][et_pb_image src=&#8221;https:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2023\/06\/SS_436-_Converted_-1.png&#8221; url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; url_new_window=&#8221;on&#8221; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; transform_scale=&#8221;114%|112%&#8221; transform_scale_linked=&#8221;off&#8221; transform_translate=&#8221;25px|-4px&#8221; transform_translate_linked=&#8221;off&#8221; width=&#8221;98.1%&#8221; custom_margin=&#8221;|7px|||false|false&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221;][et_pb_text _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Georgia|700|||||||&#8221; text_font_size=&#8221;23px&#8221; text_line_height=&#8221;1.3em&#8221; header_font=&#8221;Georgia|700|||||||&#8221; header_font_size=&#8221;21px&#8221; header_letter_spacing=&#8221;-1px&#8221; header_line_height=&#8221;2em&#8221; transform_scale=&#8221;171%|159%&#8221; transform_scale_linked=&#8221;off&#8221; transform_translate=&#8221;40px|44px&#8221; transform_translate_linked=&#8221;off&#8221; transform_origin=&#8221;70%|50%&#8221; z_index=&#8221;-161&#8243; width=&#8221;100%&#8221; custom_margin=&#8221;|-215px||||&#8221; custom_padding=&#8221;|0px||||&#8221; link_option_url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; link_option_url_new_window=&#8221;on&#8221;]<\/p>\n<h1 style=\"text-align: center;\"><span style=\"color: #ffffff;\">Datorama Training<\/span><\/h1>\n<p>[\/et_pb_text][et_pb_button button_url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; url_new_window=&#8221;on&#8221; button_text=&#8221;Explore Course Content&#8221; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_color=&#8221;#0C71C3&#8243; button_bg_color=&#8221;#FFFFFF&#8221; button_font=&#8221;|700|||||||&#8221; transform_translate=&#8221;64px|65px&#8221; transform_translate_linked=&#8221;off&#8221;][\/et_pb_button][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221;][et_pb_image src=&#8221;https:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2019\/06\/logo_resize_color.png&#8221; url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; url_new_window=&#8221;on&#8221; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; transform_translate=&#8221;-36px|0px&#8221; transform_translate_linked=&#8221;off&#8221; custom_margin=&#8221;|||178px||&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.9.7&#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;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Data_Structuring_and_Naming_Conventions_in_Datorama\"><\/span><strong><span>Data Structuring and Naming Conventions in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Naming conventions play a crucial role in Datorama. <\/span><\/p>\n<p><span>By choosing clear and consistent names from the start, it becomes much simpler to locate and harmonise dimensions on our platform.<\/span><\/p>\n<p><span><a href=\"https:\/\/cloudfoundation.com\/blog\/salesforce-datorama-tutorial\/\" target=\"_blank\" rel=\"noopener\"><strong>Datorama makes structured data<\/strong><\/a> processing seamless by providing tools that enable you to organise naming conventions to match harmonised dimensions, ensuring compatibility when visualising data.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Classifying_Campaign_Components_in_Datorama\"><\/span><strong><span>Classifying Campaign Components in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Be mindful when entering data classification, as understanding its purpose can be confusing.<\/span><\/p>\n<p><span>Datorama can help you segment campaign components and media buy names into distinct insights for future use.<\/span><br \/>\n<video poster=\"https:\/\/cloudfoundation.com\/blog\/wp-content\/plugins\/a3-lazy-load\/assets\/images\/lazy_placeholder.gif\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Datorama-Data-Management-1.webm\" autoplay=\"autoplay\" loop=\"loop\" muted=\"\" width=\"800\" height=\"auto\"><\/video><br \/>\n<span>Datorama brings these various streams together seamlessly for effective analytics.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Building_Effective_Data_Streams_in_Datorama\"><\/span><strong><span>Building Effective Data Streams in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama data streams are organised to efficiently accommodate diverse datasets, such as media buy names or campaign attributes. <\/span><\/p>\n<p><span>Datorama provides efficient filtering and harmonisation capabilities, ensuring effective management and filtering.<\/span><\/p>\n<p><span>Delineating delimiters within Datorama ensures structured data processing, enabling multiple patterns to align for enhanced analytics.<\/span>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Understanding_Datorama_and_Campaign_Patterns\"><\/span><strong><span>Understanding Datorama and Campaign Patterns<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama plays an instrumental role in unifying campaign data. <\/span><\/p>\n<p><span>Working with placement size requires consistency across dimensions to achieve this. <\/span><\/p>\n<p><span>Naming conventions must match as part of this goal, so when data streams merge, they don&#8217;t produce discrepancies in column names that could cause mismatching when merging data streams.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Datoramas_Approach_to_Harmonised_Dimensions\"><\/span><strong><span>Datorama&#8217;s Approach to Harmonised Dimensions<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama makes harmonised <a href=\"https:\/\/cloudfoundation.com\/blog\/dimensional-data-modeling-training\/\" target=\"_blank\" rel=\"noopener\"><strong>dimensions accessible by creating structured<\/strong><\/a> patterns to align campaign and media data appropriately, with seamless merging of data streams while mitigating risks associated with misclassification.<\/span><\/p>\n<p><span><img decoding=\"async\" width=\"800\" height=\"879\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Datorama-Data-Structuring.png\" alt=\"SalesForce Datorama Training\" class=\"size-medium aligncenter\"><\/span><\/p>\n<p><span>Naming conventions enable seamless merging and reduce the risk of misclassification.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Building_Patterns_with_Datorama\"><\/span><strong><span>Building Patterns with Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama simplifies <a href=\"https:\/\/cloudfoundation.com\/blog\/informatica-mdm-interview-questions\" target=\"_blank\" rel=\"noopener\"><strong>data management by establishing<\/strong><\/a> clear payment modes of action as part of its data structure, such as medium, country, device, or index dimensions for campaigns, ensuring consistency and seamless extraction without delimiters interrupting the process.<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Datorama_Enhances_Data_Visualisation\"><\/span><strong><span>Datorama Enhances Data Visualisation<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Once patterns have been set in motion, Datorama makes it simple and effective for users to <a href=\"https:\/\/cloudfoundation.com\/blog\/what-is-data-visualization\/\" target=\"_blank\" rel=\"noopener\"><strong>visualise data<\/strong><\/a>. <\/span><\/p>\n<p><span>Each campaign dimension, such as medium pattern, country code pattern, or device pattern, can appear as separate columns. <\/span><\/p>\n<p><span>Users may then create bar graphs or area charts as needed to analyse trends efficiently.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Ensuring_Structure_Compliance_with_Datorama\"><\/span><strong><span>Ensuring Structure Compliance with Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Data Structure Compliance plays a pivotal role in campaign classification. <\/span><\/p>\n<p><span>Datorama helps ensure misalignments don&#8217;t occur by mandating uniform conventions across media streams and services.<\/span><\/p>\n<p><span><img decoding=\"async\" width=\"800\" height=\"2432\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Datorama-Campaign-Insights.png\" alt=\"SalesForce Datorama Training\" class=\"size-medium aligncenter\"><\/span><\/p>\n<p><span>When data Structure Compliance is disabled, misclassified information surfaces, underlining its importance.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Datorama_and_Taxonomy_Governance\"><\/span><strong><span>Datorama and Taxonomy Governance<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Taxonomy governance ensures campaign naming conventions adhere to predefined standards. <\/span><\/p>\n<p><span>Agencies and clients alike must synchronise their taxonomies when <a href=\"https:\/\/cloudfoundation.com\/blog\/salesforce-pardot-training\/\" target=\"_blank\" rel=\"noopener\"><strong>developing campaign structures<\/strong><\/a>.<\/span><\/p>\n<p><span>Datorama helps rectify errors caused by transition phases or inconsistencies.<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Combining_Data_Classification_with_Datorama\"><\/span><strong><span>Combining Data Classification with Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama provides structured patterns to complement data classification, enhancing campaign analysis. <\/span><\/p>\n<p><span>They work in harmony to eliminate inconsistencies and to improve accuracy in media data classification. <\/span><\/p>\n<p><span>Working with non-compliant data provides Datorama with an organised way of managing it all.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Understanding_Datoramas_Mapping_Process\"><\/span><strong><span>Understanding Datorama&#8217;s Mapping Process<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Receive data from your account manager, but the new file contains incorrect lowercase letters for Media by Key. <\/span><\/p>\n<p><span>Datorama&#8217;s case sensitivity fails to ingest it properly.<\/span><br \/>\n<video poster=\"https:\/\/cloudfoundation.com\/blog\/wp-content\/plugins\/a3-lazy-load\/assets\/images\/lazy_placeholder.gif\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Optimizing-Datorama-Usage.webm\" autoplay=\"autoplay\" loop=\"loop\" muted=\"\" width=\"800\" height=\"auto\"><\/video><br \/>\n<span>To circumvent this problem, Datorama&#8217;s Colleagues function helps map old column data onto new ones in such a way that Datorama recognises them both as identical and processes the information seamlessly.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Connecting_and_Mixing_Data_in_Datorama\"><\/span><strong><span>Connecting and Mixing Data in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span><a href=\"https:\/\/cloudfoundation.com\/blog\/salesforce-datorama-certification\/\" target=\"_blank\" rel=\"noopener\"><strong>Datorama provides tools<\/strong><\/a> that make connecting, mixing, analysing, acting on, and visualising data effortless. <\/span><\/p>\n<p><span>Suppose it needed to upload files using the Total Connect feature, which allows me to drag and drop a file to generate a preview screen. <\/span><\/p>\n<p><span>Any adjustments required, such as naming datasets or formatting numbers and text, can be handled effortlessly with Datorama&#8217;s intuitive user interface.<\/span>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#064399&#8243; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_start=&#8221;#ff8c7c&#8221; background_color_gradient_end=&#8221;#e5ba4e&#8221; background_color_gradient_type=&#8221;radial&#8221; background_color_gradient_direction_radial=&#8221;top left&#8221; background_color_gradient_start_position=&#8221;35%&#8221; background_color_gradient_end_position=&#8221;80%&#8221; transform_scale=&#8221;74%|69%&#8221; transform_scale_linked=&#8221;off&#8221; transform_translate=&#8221;-53px|-50px&#8221; transform_translate_linked=&#8221;off&#8221; custom_margin=&#8221;||-5px||false|false&#8221; custom_padding=&#8221;|||2px|false|false&#8221; link_option_url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; link_option_url_new_window=&#8221;on&#8221;][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221;][et_pb_image src=&#8221;https:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2023\/06\/8423118_3895895.png&#8221; url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; url_new_window=&#8221;on&#8221; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; width=&#8221;85.4%&#8221; custom_margin=&#8221;-31px||-24px||false|false&#8221; custom_padding=&#8221;|22px|0px||false|false&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221;][et_pb_text _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Georgia|700|||||||&#8221; text_font_size=&#8221;23px&#8221; text_line_height=&#8221;1.3em&#8221; header_font=&#8221;Georgia|700|||||||&#8221; header_font_size=&#8221;19px&#8221; header_letter_spacing=&#8221;-1px&#8221; header_line_height=&#8221;1.2em&#8221; transform_scale=&#8221;171%|159%&#8221; transform_scale_linked=&#8221;off&#8221; transform_translate=&#8221;40px|44px&#8221; transform_translate_linked=&#8221;off&#8221; transform_origin=&#8221;70%|50%&#8221; z_index=&#8221;-161&#8243; width=&#8221;100%&#8221; custom_margin=&#8221;|-215px||||&#8221; custom_padding=&#8221;|0px||||&#8221; link_option_url=&#8221;https:\/\/cloudfoundation.com\/&#8221; link_option_url_new_window=&#8221;on&#8221;]<\/p>\n<h1 style=\"text-align: center;\"><strong>Datorama Online <\/strong>Training<\/h1>\n<p>[\/et_pb_text][et_pb_button button_url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; url_new_window=&#8221;on&#8221; button_text=&#8221;Up Coming Batches&#8221; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_color=&#8221;#E09900&#8243; button_bg_color=&#8221;#FFFFFF&#8221; button_font=&#8221;|700|||||||&#8221; transform_translate=&#8221;64px|65px&#8221; transform_translate_linked=&#8221;off&#8221; background_layout=&#8221;dark&#8221;][\/et_pb_button][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221;][et_pb_image src=&#8221;https:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2019\/06\/logo_resize_color.png&#8221; url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; url_new_window=&#8221;on&#8221; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; transform_translate=&#8221;-36px|0px&#8221; transform_translate_linked=&#8221;off&#8221; custom_margin=&#8221;|||178px||&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.9.7&#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;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Custom_Attributes_in_Datorama\"><\/span><strong><span>Custom Attributes in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama&#8217;s custom attributes can be game-changers.<\/span><\/p>\n<p><span>Can quickly map columns like Placement Dimension and Identity into these attributes for mediation purposes, then tailor my dataset according to specific requirements. <\/span><\/p>\n<p><span>Providing up to 40 custom attributes per entity offers unprecedented flexibility.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Optimising_Data_Sets_with_Datorama\"><\/span><strong><span>Optimising Data Sets with Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama stands out with its data set recognition capabilities.<\/span><\/p>\n<p><span><img decoding=\"async\" width=\"800\" height=\"1066\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Datorama-Configuration.png\" alt=\"SalesForce Datorama Training\" class=\"size-medium aligncenter\"><\/span><\/p>\n<p><span>Regardless of whether it&#8217;s advertisements, search keywords, web <a href=\"https:\/\/cloudfoundation.com\/salesforce-crm-analytics-training\" target=\"_blank\" rel=\"noopener\"><strong>analytics data sets<\/strong><\/a>, or anything in between, Datorama recognises all forms of data sets seamlessly and suggests mapping fields appropriate to each data stream type. <\/span><\/p>\n<p><span>Should I change data streams later on in a seamless manner, with only minor adjustments required to update placeholders and conform to new structures?<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Streamlined_Mapping_Experience_in_Datorama\"><\/span><strong><span>Streamlined Mapping Experience in Datorama<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama makes mapping easy: the left-side columns display raw data while the right-side ones present Datorama model fields for which I drag-and-drop values for accurate mapping. <\/span><\/p>\n<p><span>Furthermore, should any adjustments need to be made later on or if unmapping is required altogether, Datorama makes that task simple too.<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Datorama_Mapping_and_Custom_Attributes\"><\/span><strong><span>Datorama Mapping and Custom Attributes<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>How does Datorama enable users to map entity attributes effectively?<\/span><\/p>\n<p><span>Once you know which attributes qualify as part of an entity, they can be effortlessly converted to custom attribute columns, which even makes formulae easier. <\/span><\/p>\n<p><span>Once the habit forms, it becomes second nature.<\/span><\/p>\n<p><span>As part of your mapping endeavours, it&#8217;s critical that you carefully consider your data model.<\/span><\/p>\n<p><span>Regardless of whether it involves one-to-one relationships, one-to-many, or many-to-many relations, being mindful of these strategies pays dividends over time, and Datorama makes this process effortless.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Datorama_Data_Verification_and_Field_Mapping\"><\/span><strong><span>Datorama Data Verification and Field Mapping<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong><span><img decoding=\"async\" width=\"800\" height=\"3064\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Datorama-Data-Mapping-1.png\" alt=\"SalesForce Datorama Training\" class=\"size-medium aligncenter\"><\/span><\/strong><\/p>\n<p><span>Map or unmap fields as necessary to identify unmapped ones. <\/span><\/p>\n<p><span>When there are unmapped fields that require attention, using font layers enables Datorama users to easily create custom fields as needed for custom field creation, writing formulas, and mapping devices.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Datorama_Calculated_Measurements_and_Native_Columns\"><\/span><strong><span>Datorama Calculated Measurements and Native Columns<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Have you ever created calculated dimensions or measurements before? <\/span><\/p>\n<p><span>In Datorama, calculated measures can be made at the workspace level and apply universally. Imagine needing to highlight CPC calculations using clicks and impressions. <\/span><\/p>\n<p><span>Drag that calculated measurement from your workspace into your data set.<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Datorama_Campaign_Data_Updates\"><\/span><strong><span>Datorama Campaign Data Updates<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Datorama provides an outstanding firsthand glimpse at your campaigns via its pivot table, offering a fantastic view. <\/span><br \/>\n<video poster=\"https:\/\/cloudfoundation.com\/blog\/wp-content\/plugins\/a3-lazy-load\/assets\/images\/lazy_placeholder.gif\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Datorama-Campaign-Analytics.webm\" autoplay=\"autoplay\" loop=\"loop\" muted=\"\" width=\"800\" height=\"auto\"><\/video><br \/>\n<span>Here, you can select and name your campaign before applying it, while also gaining key insights, including campaign keys, media costs, and tokens. <\/span><\/p>\n<p><span>It&#8217;s like getting an inside peek into what&#8217;s going on behind the scenes of your data.<\/span><span><\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Datorama_Automation_Features\"><\/span><strong><span>Datorama Automation Features<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>Let&#8217;s talk about automation in Datorama: you can set up an FTP domain with your credentials for regular data ingestion, whether weekly, bi-monthly, or monthly. <\/span><\/p>\n<p><span>Automating data pushing and retrieval makes life much simpler.<\/span>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Datorama_Unlocking_Automation_with_Cloud_Storage\"><\/span><strong><span>Datorama: Unlocking Automation with Cloud Storage<\/span><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span>How cloud storage and drives can play a crucial role in automating data workflows, utilising Datorama tools to streamline processes as never before.<\/span><\/p>\n<p><span>What strikes me most about Datorama is its seamless integration with various data sources. <\/span><\/p>\n<p><span><a href=\"https:\/\/cloudfoundation.com\/blog\/veeam-tutorial-for-beginners\/\" target=\"_blank\" rel=\"noopener\"><strong>Think cloud storage<\/strong><\/a> at your disposal with easy automation capabilities that&#8217;s Datorama at its finest, turning complex information into actionable insights.<\/span><\/p>\n<p><span>Datorama has revolutionised my approach to data automation. <\/span><\/p>\n<p><span>Thanks to cloud storage and drive functionality, Datorama enables fast and effective automation across various data types.<\/span><\/p>\n<p><span><img decoding=\"async\" width=\"800\" height=\"945\" src=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/Data-Automation.png\" alt=\"SalesForce Datorama Training\" class=\"size-medium aligncenter\"><\/span><\/p>\n<p><span>Its ease in managing large amounts of information makes managing vast quantities incredibly straightforward.<\/span><\/p>\n<p><span>Datorama makes starting your automation journey easy. <\/span><\/p>\n<p><span>From cloud storage and drives, Datorama ensures a seamless user experience throughout your entire automation journey.<\/span><\/p>\n<p><span>With Datorama&#8217;s help, automate data workflows without technical limitations or hindrances. <\/span><\/p>\n<p><span>Its cloud storage abilities, combined with the automation of all my data, are an incredible boon to productivity.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_3,1_3,1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#064399&#8243; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_start=&#8221;#494fff&#8221; background_color_gradient_end=&#8221;#9ea6ff&#8221; background_color_gradient_type=&#8221;radial&#8221; background_color_gradient_direction_radial=&#8221;top left&#8221; background_color_gradient_start_position=&#8221;35%&#8221; background_color_gradient_end_position=&#8221;80%&#8221; transform_scale=&#8221;74%|71%&#8221; transform_scale_linked=&#8221;off&#8221; transform_translate=&#8221;-53px|-50px&#8221; transform_translate_linked=&#8221;off&#8221; link_option_url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; link_option_url_new_window=&#8221;on&#8221;][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221;][et_pb_image src=&#8221;https:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2023\/06\/Untitled-11.png&#8221; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; transform_scale=&#8221;103%|103%&#8221; transform_scale_linked=&#8221;off&#8221; transform_translate=&#8221;11px|0px&#8221; transform_translate_linked=&#8221;off&#8221; custom_padding=&#8221;|88px||||&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221;][et_pb_text _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Georgia|700|||||||&#8221; text_text_color=&#8221;#FFFFFF&#8221; text_font_size=&#8221;23px&#8221; text_line_height=&#8221;1.3em&#8221; header_font=&#8221;Georgia|700|||||||&#8221; header_font_size=&#8221;19px&#8221; header_letter_spacing=&#8221;-1px&#8221; header_line_height=&#8221;1.2em&#8221; transform_scale=&#8221;171%|159%&#8221; transform_scale_linked=&#8221;off&#8221; transform_translate=&#8221;40px|44px&#8221; transform_translate_linked=&#8221;off&#8221; transform_origin=&#8221;70%|50%&#8221; z_index=&#8221;-161&#8243; width=&#8221;100%&#8221; custom_margin=&#8221;|-215px||||&#8221; custom_padding=&#8221;|0px||||&#8221; link_option_url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; link_option_url_new_window=&#8221;on&#8221;]<\/p>\n<h1 style=\"text-align: center;\"><span style=\"color: #ffffff;\"><strong>Datorama Course Price<\/strong><\/span><\/h1>\n<p>[\/et_pb_text][et_pb_button button_url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; url_new_window=&#8221;on&#8221; button_text=&#8221;Offer Price&#8221; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; custom_button=&#8221;on&#8221; button_text_color=&#8221;#0C71C3&#8243; button_bg_color=&#8221;#FFFFFF&#8221; button_font=&#8221;|700|||||||&#8221; transform_translate=&#8221;64px|65px&#8221; transform_translate_linked=&#8221;off&#8221;][\/et_pb_button][\/et_pb_column][et_pb_column type=&#8221;1_3&#8243; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221;][et_pb_image src=&#8221;https:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2019\/06\/logo_resize_color.png&#8221; url=&#8221;https:\/\/cloudfoundation.com\/blog\/&#8221; url_new_window=&#8221;on&#8221; _builder_version=&#8221;4.9.7&#8243; _module_preset=&#8221;default&#8221; transform_translate=&#8221;-36px|0px&#8221; transform_translate_linked=&#8221;off&#8221; custom_margin=&#8221;|||178px||&#8221;][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.9.7&#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;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_team_member name=&#8221;Sai Susmitha&#8221; position=&#8221;Author&#8221; image_url=&#8221;https:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/03\/Sai-Susmitha.png&#8221; _builder_version=&#8221;4.9.7&#8243; header_level=&#8221;h5&#8243; header_font=&#8221;Titillium Web|700|||||||&#8221; body_font=&#8221;Titillium Web||||||||&#8221; body_font_size=&#8221;16&#8243;]<\/p>\n<p id=\"posted-message-container\" class=\"zcmsgcnt textL\" dir=\"auto\">The Journey of Personal Development is a Continuous path of learning and growth<\/p>\n<p>[\/et_pb_team_member][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.9.7&#8243;][et_pb_row _builder_version=&#8221;4.9.7&#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;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_post_title meta=&#8221;off&#8221; featured_image=&#8221;off&#8221; _builder_version=&#8221;4.9.7&#8243; title_font=&#8221;Times New Roman||||||||&#8221; title_text_align=&#8221;left&#8221; title_text_color=&#8221;#000000&#8243; title_font_size=&#8221;47&#8243; background_color=&#8221;RGBA(0,0,0,0)&#8221; background_enable_image=&#8221;off&#8221; custom_margin=&#8221;|||10%&#8221; title_font_size_tablet=&#8221;40&#8243; title_font_size_phone=&#8221;35&#8243; title_font_size_last_edited=&#8221;on|desktop&#8221;][\/et_pb_post_title][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.9.7&#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;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.9.7&#8243; text_font=&#8221;Georgia||||||||&#8221; text_text_color=&#8221;#000000&#8243; text_font_size=&#8221;22px&#8221; text_line_height=&#8221;1.9em&#8221; max_width=&#8221;800px&#8221; max_width_last_edited=&#8221;off|phone&#8221; custom_margin=&#8221;|||10%&#8221; custom_margin_last_edited=&#8221;off|desktop&#8221; hover_enabled=&#8221;0&#8243; text_font_size_tablet=&#8221;&#8221; text_font_size_phone=&#8221;&#8221; text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;] Understanding Patterns in Datorama Patterns play [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":100631,"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":"2880","footnotes":""},"categories":[211],"tags":[],"class_list":{"0":"post-100630","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-salesforce"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Use Datorama Patterns for Seamless Data Integration and Classification?<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Use Datorama Patterns for Seamless Data Integration and Classification?\" \/>\n<meta property=\"og:description\" content=\"[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.9.7&#8243;][et_pb_row _builder_version=&#8221;4.9.7&#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;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_post_title meta=&#8221;off&#8221; featured_image=&#8221;off&#8221; _builder_version=&#8221;4.9.7&#8243; title_font=&#8221;Times New Roman||||||||&#8221; title_text_align=&#8221;left&#8221; title_text_color=&#8221;#000000&#8243; title_font_size=&#8221;47&#8243; background_color=&#8221;RGBA(0,0,0,0)&#8221; background_enable_image=&#8221;off&#8221; 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text_font_size_last_edited=&#8221;on|phone&#8221; text_line_height_last_edited=&#8221;off|phone&#8221; sticky_enabled=&#8221;0&#8243;] Understanding Patterns in Datorama Patterns play [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/cloudfoundation.com\/blog\/how-to-use-datorama-patterns-for-seamless-data-integration-and-classification\/\" \/>\n<meta property=\"og:site_name\" content=\"CloudFoundation | Blog\" \/>\n<meta property=\"article:published_time\" content=\"2025-05-22T04:09:36+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-05-22T04:46:50+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/cloudfoundation.com\/blog\/wp-content\/uploads\/2025\/05\/DatoramaFI10.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"500\" \/>\n\t<meta property=\"og:image:height\" content=\"333\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"NAGENDRAG\" \/>\n<meta name=\"twitter:card\" 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