{"id":14804,"date":"2019-10-07T19:27:29","date_gmt":"2019-10-07T23:27:29","guid":{"rendered":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/?p=14804"},"modified":"2022-10-14T18:27:43","modified_gmt":"2022-10-14T22:27:43","slug":"naveego-accelerator-toolkit-for-partners-helps-ensure-data-accuracy-across-data-sources","status":"publish","type":"post","link":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/iot\/naveego-accelerator-toolkit-for-partners-helps-ensure-data-accuracy-across-data-sources.html","title":{"rendered":"Naveego Accelerator Toolkit for Partners Helps Ensure Data Accuracy Across Data Sources"},"content":{"rendered":"\n<p>Naveego has been busy this summer bringing its cloud-first data accuracy\nsolutions to partners. <\/p>\n\n\n\n<p>The challenge of data cleansing is rapidly becoming more\ndifficult, as well as expensive. According to Gartner the annual average cost\nto organizations is $15 million for maintaining bad data. In addition to the\nhigh price of legacy systems and customization, poor data quality costs the\nU.S. economy $3.1 trillion a year.<\/p>\n\n\n\n<p>The Naveego Accelerator performs an overall data accuracy search, analyzing the health of multiple data sources by auto-profiling and conducting a cross-system comparison to effectively calculate the percentage of records with consistency errors that impact business operations and profitability. This proof of value tool delivers profiling analysis results and data health metrics in minutes and allows users to set data quality checks to investigate accuracy issues even further.<\/p>\n\n\n\n<p>\u201cToday\u2019s hybrid infrastructure is increasingly complex, driving the need for a data accuracy solution that unifies and manages both traditional and new data sources into a single accurate record for business advantage,\u201d said Katie Horvath, CEO, Naveego. \u201cThe Naveego Accelerator tool was designed to give partners and customers a simple way to proactively manage, detect and eliminate data accuracy issues across all enterprise data sources in real-time. As a result, enterprises have a 360-degree view of all information assets to ensure they\u2019re working with the most reliable data possible for long-term global data health and business value.\u201d<\/p>\n\n\n\n<p>The company\u2019s next-generation data accuracy platform with self-service\nMDM and advanced security features ensure golden record across multiple enterprise\ndata systems. The company says this can result in deployments which are five\ntimes faster with significant savings as well.<\/p>\n\n\n\n<p>The Naveego Complete Data Accuracy Platform is a hybrid and\nmulti-cloud, distributed data accuracy solution that proactively manages,\ndetects and eliminates customer data accuracy issues across all enterprise data\nsources to ensure a single golden record and make data consistent across the\nenterprise. It prevents data lakes from becoming data swamps by leveraging\nKubernetes, Apache Kafka and Apache Spark technologies to enable rapid deploy,\ndistributed processing and seamless integration with data no matter where it\nlives, and it fully supports on-premise, hybrid and multi-cloud environments.\nNaveego provides data accuracy at high volume with real-time streaming from any\ndata source in any environment regardless of its schema or structure.<\/p>\n\n\n\n<p>\u201cCompanies across all industries are reimagining themselves within a digitally transformed future. Central to that future is leveraging a data tsunami resulting from newly connected consumers, products and processes,\u201d said Michael Ger, General Manager, Automotive and Manufacturing Solutions, Cloudera. \u201cWithin this context, data quality has taken on critical new importance. The Naveego data accuracy platform is critical for enabling traditional approaches to business intelligence as well as modern-day big data analytics. The reason for this is clear \u2013 actionable insights start with clean data, and that\u2019s exactly what the Naveego platform delivers.\u201d<\/p>\n\n\n\n<p>Features of Naveego\u2019s Next Generation Data Accuracy Platform\nInclude:<\/p>\n\n\n\n<ul><li><strong>Self-service<\/strong>: With an easy, intuitive user interface, the      Naveego platform enables all business users to access trusted data without having to rely on IT to deliver the results they need. Users can work with the platform without even understanding what a database is or the application where the information resides.<\/li><li><strong>Golden-Record-as-a-Service<\/strong>: Makes the golden record available to all applications, whether it\u2019s CRM or the accounting system for the business user, or the data lake\/data warehouse for the data analyst or scientist, through delivery and synchronization.<\/li><li><strong>Golden Record Compare<\/strong>: Accurate data is consistent data,      gathered and compared from as many sources as possible. The more sources of information within the business \u2013 which results in more data being compared \u2013 then the more accurate the data becomes. The Naveego platform constantly monitors the data from these source systems to ensure the data is consistent and therefore, accurate. <\/li><\/ul>\n\n\n\n<ul><li><strong>Automated profiling of data sources at the edge (machine learning)<\/strong>: Naveego\u2019s agent-based profiling capability processes data locally, eliminating the need to move the data. As a result, the platform can profile data sets that would be too large to upload to the cloud, and security is improved since the data is not moved.\u00a0Naveego can detect sensitive data      patterns as well, such as social security numbers, and inform the user      before that particular data is moved from the secured network.<\/li><li><strong>Automated profiling of any data source including IoT<\/strong>: Users can instantly profile data from files, databases, APIs and more using Naveego\u2019s built-in plugins and connectors.<\/li><li><strong>Automated data quality checks driven by machine learning<\/strong>: The platform automatically detects data quality issues, suggests quality checks to the business, and monitors the data to ensure it stays clean. It can also cleanse data as it is read from the data source and then send the clean data back, resulting in a rapid, automated data cleansing process.<\/li><\/ul>\n\n\n\n<p>\u201cThe ability to achieve golden record data has typically been available only by hiring a systems integrator or other specialist, at a high cost and TCO to the enterprise,\u201d said Katie Horvath, CEO, Naveego. \u201cThe next generation of our Data Accuracy Platform is truly a game changer, empowering business users to access trusted data across all data types for analytics purposes, entirely on their own with an easy to use, flow-oriented user interface \u2013 and at a significantly lower cost. This is sure to disrupt pricey legacy solutions that require vast amounts of professional resources and on average five times longer to deploy.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Naveego has been busy this summer bringing its cloud-first data accuracy solutions to partners. The challenge of data cleansing is rapidly becoming more difficult, as well as expensive. According to Gartner the annual average cost to organizations is $15 million for maintaining bad data. In addition to the high price of legacy systems and customization,<\/p>\n","protected":false},"author":44,"featured_media":14805,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[185],"tags":[2019,2466,1798],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/posts\/14804"}],"collection":[{"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/users\/44"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/comments?post=14804"}],"version-history":[{"count":1,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/posts\/14804\/revisions"}],"predecessor-version":[{"id":14806,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/posts\/14804\/revisions\/14806"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/media\/14805"}],"wp:attachment":[{"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/media?parent=14804"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/categories?post=14804"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.tmcnet.com\/blog\/rich-tehrani\/wp-json\/wp\/v2\/tags?post=14804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}