{"id":9000,"date":"2019-05-29T18:08:09","date_gmt":"2019-05-29T10:08:09","guid":{"rendered":"http:\/\/nxtmag.tech\/?p=9000"},"modified":"2019-05-29T18:08:09","modified_gmt":"2019-05-29T10:08:09","slug":"tens-of-millions-of-data-workers-face-inefficiencies-as-data-complexity-grows-worldwide","status":"publish","type":"post","link":"https:\/\/nxtmag.tech\/my\/2019\/05\/29\/tens-of-millions-of-data-workers-face-inefficiencies-as-data-complexity-grows-worldwide\/","title":{"rendered":"Tens of Millions of Data Workers Face Inefficiencies as Data Complexity Grows Worldwide"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Alteryx, a company that improves businesses via data science and analytics, revealed that approximately 54 million data workers around the world face common challenges associated with data complexity, and the diversity and scale of their organizations\u2019 data. In an increasingly data-driven world, the term \u201cdata worker\u201d spans beyond the 54 million identified in this study, but the findings are indicative of the challenges specific to those engaging in significant data work in their day-to-day jobs. The Alteryx-commissioned IDC Infobrief, The State of Data Science and Analytics, uncovered inefficiencies, ineffectiveness and wasted time as many organizations turn to data as the lifeblood of their digital transformation.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-9001 size-full\" src=\"http:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-data.jpg\" alt=\"Digital Transformation Platform\" width=\"900\" height=\"772\" srcset=\"https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-data.jpg 900w, https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-data-300x257.jpg 300w, https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-data-768x659.jpg 768w, https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-data-696x597.jpg 696w, https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-data-490x420.jpg 490w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Eighty percent of organizations now leverage data across multiple organizational processes, but despite increases in innovation, data workers still waste 44 percent of their time each week because they are unsuccessful in their activities. Data workers spend more than 40 percent of their time searching for and preparing data instead of gleaning insights and, on average, use four to seven different tools to perform data activities, adding to the complexity of the data and analytics process.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-9004 size-full\" src=\"http:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-searches.jpg\" alt=\"Infographic about searching for and preparing data\" width=\"401\" height=\"500\" srcset=\"https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-searches.jpg 401w, https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-searches-241x300.jpg 241w, https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-searches-337x420.jpg 337w\" sizes=\"auto, (max-width: 401px) 100vw, 401px\" \/><\/p>\n<h3><b>Key Findings<\/b><\/h3>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">On average, data workers leverage more than six data sources, 40 million rows of data and seven different outputs along their analytic journey.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The top frustrations cited by data workers in the survey are indicative of root causes that are responsible for inefficiencies and ineffectiveness. For example, more than 30 percent of data workers say they spend too much time in data preparation, a task that can often be automated.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Eighty-eight percent of data workers, approximately 47 million people worldwide, use spreadsheets in their data activities. Spreadsheet functions are often used as a proxy for data preparation, analytics and data application development tools but are error-prone and expose the organization to compliance and trust issues.<\/span><\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-9002 size-full\" src=\"http:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-datasources.jpg\" alt=\"Data Sources\" width=\"900\" height=\"481\" srcset=\"https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-datasources.jpg 900w, https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-datasources-300x160.jpg 300w, https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-datasources-768x410.jpg 768w, https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-datasources-696x372.jpg 696w, https:\/\/nxtmag.tech\/wp-content\/uploads\/2019\/05\/Alteryx-datasources-786x420.jpg 786w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/p>\n<h3><b>An Impetus for Change<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">The survey found that data workers are unsuccessful for a variety of reasons, including lack of collaboration, knowledge gaps and resistance to change. Participants reported the lack of creative and analytic thinking, analytic and statistical skills, and data preparation skills as the highest-ranked skills gaps responsible for productivity issues, indicative of the pervasive talent gap that exists between data scientists and data workers in the line of business. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">To overcome these issues and more, many organizations are hiring Chief Data and\/or Analytics Officers to streamline analytic processes, build a culture of analytics and encourage data literacy across the enterprise as part of their broader digital transformation strategy.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Alteryx, a company that improves businesses via data science and analytics, revealed that approximately 54 million data workers around the world face common challenges associated with data complexity, and the diversity and scale of their organizations\u2019 data. In an increasingly data-driven world, the term \u201cdata worker\u201d spans beyond the 54 million identified in this study, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":9003,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"sfsi_plus_gutenberg_text_before_share":"","sfsi_plus_gutenberg_show_text_before_share":"","sfsi_plus_gutenberg_icon_type":"","sfsi_plus_gutenberg_icon_alignemt":"","sfsi_plus_gutenburg_max_per_row":"","footnotes":""},"categories":[19],"tags":[729],"class_list":{"0":"post-9000","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-news","8":"tag-data-complexity"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Tens of Millions of Data Workers Face Inefficiencies as Data Complexity Grows Worldwide - NXT Malaysia<\/title>\n<meta name=\"description\" content=\"Alteryx revealed that 54 million data workers face common challenges with data complexity, and the diversity and scale of their organizations\u2019 data.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nxtmag.tech\/my\/2019\/05\/29\/tens-of-millions-of-data-workers-face-inefficiencies-as-data-complexity-grows-worldwide\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:locale:alternate\" content=\"en_SG\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tens of Millions of Data Workers Face Inefficiencies as Data Complexity Grows Worldwide - 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