{"id":17131,"date":"2017-02-09T11:55:36","date_gmt":"2017-02-09T19:55:36","guid":{"rendered":"http:\/\/insidebigdata.com\/?p=17131"},"modified":"2017-02-09T11:55:36","modified_gmt":"2017-02-09T19:55:36","slug":"radius-data-stewardship-removes-obstacles-data-revenue","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/","title":{"rendered":"Radius Data Stewardship Removes Obstacles Between Data and Revenue"},"content":{"rendered":"<p><a href=\"https:\/\/radius.com\/\" target=\"_blank\"><img decoding=\"async\" loading=\"lazy\" class=\"alignright size-full wp-image-17132\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/02\/Radius_logo.png\" alt=\"\" width=\"137\" height=\"56\" \/>Radius<\/a>, a leading business-to-business predictive marketing platform, announced the addition of Radius Data Stewardship to its solutions. With Radius Data Stewardship, marketers have access to the highest quality data for deriving precise insights that expand visibility into new and existing markets, effectively informing decisions for campaign planning and more accurately predicting and driving pipeline growth. Unlike other data solutions, Radius Data Stewardship leverages the Radius Business Graph<sup>SM <\/sup>to deliver the most accurate prospect and customer data on an ongoing basis.<\/p>\n<p><a href=\"https:\/\/radius.com\/landing\/customer-network-effects-report-bringing-b2b-data-into-the-age-of-intelligence\/\" target=\"_blank\">Recent research<\/a> finds only 70-75 percent of Customer Relationship Management (CRM) and Marketing Automation Technology (MAT) data is accurate. For many businesses, this equates to tens of thousands, if not millions of inaccurate records. Faulty data delivers sub-optimal insights, leading to ineffective results across pipeline. As marketers continue to adopt Artificial Intelligence (AI) based systems, this data problem will become increasingly important to solve, since the strength of any AI-based system is directly related to the underlying data. Left alone, inaccurate and incomplete data hinders revenue growth, regardless of any AI-system introduced.<\/p>\n<p>In efforts to be time and cost effective, marketers search for ways to repair and enhance foundational data, which contains firmographic details, contact information, even granular details such as company technology stacks. Analyzing, cleansing and appending this foundational data is one way to make sure go-to-market teams have the highest quality information. With Radius Data Stewardship, customers can maximize success for their go-to-market strategy and execution by leveraging the best foundational data available for all marketing and sales activities. Radius Data Stewardship analyzes the overall health of internal ecosystems and identifies within CRM and MAT systems duplicate records, records no longer in business, incomplete records and additional information relevant to businesses &#8211; leveraging the over 450 attributes Radius tracks.<\/p>\n<blockquote><p>With the rise of AI-based technologies like predictive analytics, we know addressing the issue of faulty foundational data is absolutely critical,\u201d said Darian Shirazi, CEO at Radius. \u201cThat\u2019s what we solve with Radius Data Stewardship. Using the Radius Business Graph as a point of validation, we continually and exponentially improve our customer\u2019s CRM and MAT data, so they can maximize the value derived from predictive analytics platforms like Radius.\u201d<\/p><\/blockquote>\n<p>Radius Data Stewardship leverages the Radius Business Graph<sup>SM<\/sup> to increase customers\u2019 CRM and MAT data quality to the level of quality required to deliver business results. The Radius Business Graph has 50 billion signals on 20 million businesses, providing the most up-to-date, comprehensive data available. The Graph bridges gaps across data, customer insights and execution. Once customers sync their CRM with the Graph, they receive continuously updated CRM and MAT data to power decisions; analyzing the viability of markets and campaigns, leading to shorter sales cycles and a higher percentage of closed deals.<\/p>\n<p>Radius Data Stewardship is unique in the comprehensive and ongoing nature of the offering. While similar offerings are currently available on the market through third-party vendors, these services typically occur in silos and stop once the data is clean. Furthermore, other vendors do not offer any access to predictive marketing solutions. With Radius Data Stewardship, marketers can now continually maintain high-quality foundational data and use that data to fuel predictive marketing efforts, all within the Radius app.<\/p>\n<p>According to <em>What&#8217;s Possible With Predictive Marketing Right Now?<\/em>, a July 2016 Forrester report by analysts Allison Snow and Laura Ramos: \u201cSuccessful models depend heavily on rich, deep client data. Many B2B marketers put themselves at a disadvantage by trying to make predictive work on a limited set of data or data that is just plain wrong.\u201d<\/p>\n<p>Radius Data Stewardship provides marketers with the clean, comprehensive data required to realize true value from predictive solutions.<\/p>\n<p>&nbsp;<\/p>\n<p><em>Sign up for the free insideBIGDATA\u00a0<a href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\">newsletter<\/a>.<\/em><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Radius, a leading business-to-business predictive marketing platform, announced the addition of Radius Data Stewardship to its solutions. With Radius Data Stewardship, marketers have access to the highest quality data for deriving precise insights that expand visibility into new and existing markets, effectively informing decisions for campaign planning and more accurately predicting and driving pipeline growth. <\/p>\n","protected":false},"author":10513,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[65,180,56,1],"tags":[528,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Radius Data Stewardship Removes Obstacles Between Data and Revenue - insideBIGDATA<\/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:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Radius Data Stewardship Removes Obstacles Between Data and Revenue - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Radius, a leading business-to-business predictive marketing platform, announced the addition of Radius Data Stewardship to its solutions. With Radius Data Stewardship, marketers have access to the highest quality data for deriving precise insights that expand visibility into new and existing markets, effectively informing decisions for campaign planning and more accurately predicting and driving pipeline growth.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2017-02-09T19:55:36+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/02\/Radius_logo.png\" \/>\n<meta name=\"author\" content=\"Editorial Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Editorial Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/\",\"url\":\"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/\",\"name\":\"Radius Data Stewardship Removes Obstacles Between Data and Revenue - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2017-02-09T19:55:36+00:00\",\"dateModified\":\"2017-02-09T19:55:36+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Radius Data Stewardship Removes Obstacles Between Data and Revenue\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9\",\"name\":\"Editorial Team\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g\",\"caption\":\"Editorial Team\"},\"sameAs\":[\"http:\/\/www.insidebigdata.com\"],\"url\":\"https:\/\/insidebigdata.com\/author\/editorial\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Radius Data Stewardship Removes Obstacles Between Data and Revenue - insideBIGDATA","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/","og_locale":"en_US","og_type":"article","og_title":"Radius Data Stewardship Removes Obstacles Between Data and Revenue - insideBIGDATA","og_description":"Radius, a leading business-to-business predictive marketing platform, announced the addition of Radius Data Stewardship to its solutions. With Radius Data Stewardship, marketers have access to the highest quality data for deriving precise insights that expand visibility into new and existing markets, effectively informing decisions for campaign planning and more accurately predicting and driving pipeline growth.","og_url":"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2017-02-09T19:55:36+00:00","og_image":[{"url":"http:\/\/insidebigdata.com\/wp-content\/uploads\/2017\/02\/Radius_logo.png"}],"author":"Editorial Team","twitter_card":"summary_large_image","twitter_creator":"@insideBigData","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Editorial Team","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/","url":"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/","name":"Radius Data Stewardship Removes Obstacles Between Data and Revenue - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2017-02-09T19:55:36+00:00","dateModified":"2017-02-09T19:55:36+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2017\/02\/09\/radius-data-stewardship-removes-obstacles-data-revenue\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"Radius Data Stewardship Removes Obstacles Between Data and Revenue"}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/insidebigdata.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2949e412c144601cdbcc803bd234e1b9","name":"Editorial Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/e137ce7ea40e38bd4d25bb7860cfe3e4?s=96&d=mm&r=g","caption":"Editorial Team"},"sameAs":["http:\/\/www.insidebigdata.com"],"url":"https:\/\/insidebigdata.com\/author\/editorial\/"}]}},"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-4sj","jetpack-related-posts":[{"id":12828,"url":"https:\/\/insidebigdata.com\/2015\/03\/05\/radius-intelligence-implements-databricks-cloud\/","url_meta":{"origin":17131,"position":0},"title":"Radius Intelligence Implements Databricks Cloud for Big Data Processing","date":"March 5, 2015","format":false,"excerpt":"Databricks -- the company founded by the creators of the popular open-source Big Data processing engine Apache Spark with its flagship product, Databricks Cloud -- today announced that Radius Intelligence, the business-to-business marketing intelligence company, selected Databricks Cloud as its preferred big-data processing platform.","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":13832,"url":"https:\/\/insidebigdata.com\/2015\/10\/08\/study-finds-top-b2b-marketers-using-predictive-analytics-outperform-counterparts-using-traditional-data-analytics\/","url_meta":{"origin":17131,"position":1},"title":"Study Finds Top B2B Marketers Using Predictive Analytics Outperform Counterparts Using Traditional Data Analytics","date":"October 8, 2015","format":false,"excerpt":"A commissioned study conducted by Forrester Consulting on behalf of Radius revealed B2B marketing organizations that strategically use predictive analytics outperform other organizations that use more traditional data analytics approaches to improve marketing execution and business results.","rel":"","context":"In &quot;Analytics&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2014\/08\/Predictive_analytics.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":19194,"url":"https:\/\/insidebigdata.com\/2017\/10\/21\/bane-bad-data\/","url_meta":{"origin":17131,"position":2},"title":"The Bane of Bad Data","date":"October 21, 2017","format":false,"excerpt":"In this special guest feature, Mark Woollen, Chief Product Officer at Radius, discusses how bad data is the bane of any marketer, especially those who find themselves late to marketing and sales opportunities or miss them altogether, and already costs $8.8 million annually for the average company. Research shows that\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2017\/10\/mark-woollen.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":14929,"url":"https:\/\/insidebigdata.com\/2016\/04\/27\/accenture-and-splunk-form-alliance-to-help-organizations-analyze-machine-data-to-drive-high-impact-business-performance\/","url_meta":{"origin":17131,"position":3},"title":"BackOffice Associates Releases Data Stewardship Platform 6.5 and dspConduct for Information Stewardship","date":"April 27, 2016","format":false,"excerpt":"BackOffice Associates, a leader of information governance and data modernization solutions, today announced Version 6.5 of its flagship Data Stewardship Platform (DSP) and debuted its newest dspConduct application for comprehensive business process governance and application data management across all data in all systems.","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":11090,"url":"https:\/\/insidebigdata.com\/2014\/08\/25\/collibra-launches-new-data-governance-software-boost-global-business-user-adoption\/","url_meta":{"origin":17131,"position":4},"title":"Collibra Launches New Data Governance Software to Boost Global Business User Adoption","date":"August 25, 2014","format":false,"excerpt":"Collibra, named a leader in the recent Forrester Wave on Data Governance Tools, announced its award-winning platform has been further optimized with the launch of advanced platform version 4.3.","rel":"","context":"In &quot;Big Data Software&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":10389,"url":"https:\/\/insidebigdata.com\/2014\/07\/06\/new-forrester-report-names-collibra-leader-data-governance\/","url_meta":{"origin":17131,"position":5},"title":"New Forrester Report Names Collibra as a Leader in Data Governance","date":"July 6, 2014","format":false,"excerpt":"Collibra, a pioneer in creating business data authority solutions to enhance data value for the enterprise, recently announced it has been named a leader in the new report, The Forrester Wave\u2122: Data Governance Tools, Q2 2014. The Forrester Research report says \u201cCollibra shows the direction.\u201d","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/17131"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/10513"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=17131"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/17131\/revisions"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=17131"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=17131"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=17131"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}